Tanmay Kulkarni | Cancer Biology | Best Researcher Award

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Dr. Tanmay Kulkarni | Cancer Biology | Best Researcher Award

Assistant Professor at Mayo Clinic Florida, United States

Dr. Tanmay Kulkarni is a highly accomplished research professional with over 12 years of publication experience and 7+ years in academic and clinical research settings, currently serving as Assistant Professor and Research Associate at Mayo Clinic. With a multidisciplinary background in electrical engineering and biomedical sciences, he has authored numerous high-impact publications and led innovative projects involving nanomechanical analysis, tumor microenvironments, and biosensing systems. His contributions include serving as a guest editor for special issues, submitting NIH and DoD grants, and mentoring young researchers. Dr. Kulkarni’s technical expertise spans advanced microscopy, data analysis, and scientific writing. His leadership in research, coupled with editorial and peer-review roles across multiple journals, showcases his influence in the scientific community. Recognized with awards and invited presentations, his dedication to translational science and academic excellence positions him as a strong candidate for the Best Researcher Award. He exemplifies innovation, collaboration, and impactful scientific contribution.

Professional Profile 

Education🎓

Dr. Tanmay Kulkarni holds a robust academic background in electrical and electronics engineering, which laid the foundation for his multidisciplinary research career. He earned his Doctor of Philosophy (Ph.D.) in Electrical Engineering from the University of Maryland, Baltimore County (UMBC) in 2017, where his doctoral work focused on developing a self-powered biosensing system capable of simultaneously sensing glucose and powering microelectronic devices—a novel concept with potential clinical applications. Prior to that, he completed his Master of Science (M.S.) in Electrical Engineering from UMBC in 2014, where he was involved in collaborative biomedical imaging research analyzing adipose tissue distribution in hyperglycemic baboons. He began his academic journey with a Bachelor of Engineering in Electronics and Telecommunication from Mumbai University in 2012. Throughout his educational path, Dr. Kulkarni has consistently demonstrated strong analytical, experimental, and collaborative skills, integrating engineering principles with biomedical applications, which continue to drive his success in translational research.

Professional Experience📝

Dr. Tanmay Kulkarni brings extensive professional experience spanning over seven years in top-tier research environments, primarily at the Mayo Clinic in Jacksonville, Florida. Currently serving as an Assistant Professor and Research Associate, he leads projects focused on tumor microenvironments, cell-matrix interactions, and nanomechanical analysis using advanced microscopy techniques. He previously held roles as Senior Research Fellow and Research Fellow, where he contributed to groundbreaking studies involving atomic force microscopy, Raman spectroscopy, and biosensor development. Dr. Kulkarni has authored and co-authored numerous high-impact publications, presented at prestigious symposia, and submitted competitive NIH and DoD grants as a principal and co-investigator. His leadership extends to editorial roles, including guest editor for special journal issues and reviewer for several high-impact journals. He has also mentored students through programs like SPARK and SURF, reflecting his commitment to scientific mentorship. His career reflects a balance of innovation, collaboration, and academic excellence in translational biomedical research.

Research Interest🔎

Dr. Tanmay Kulkarni’s research interests lie at the intersection of engineering, biology, and medicine, with a strong focus on translational applications. His primary areas of interest include tumor microenvironment (TME) dynamics, nanomechanical characterization of biological tissues, biosensor development, and cell-extracellular matrix interactions. He is particularly passionate about leveraging advanced microscopy techniques—such as atomic force microscopy, confocal imaging, and Raman spectroscopy—to explore disease mechanisms at the molecular and cellular level. Dr. Kulkarni is also deeply involved in developing self-powered biosensing systems that integrate biofuel cells for real-time health monitoring and energy-efficient diagnostics. His recent work focuses on understanding the immunological landscape in cancer biopsies, designing biomaterials for drug delivery, and identifying extracellular vesicle signatures for neurodegenerative and metabolic diseases. By combining quantitative engineering tools with biological insight, Dr. Kulkarni aims to contribute to early disease detection, targeted therapy, and personalized medicine, making meaningful strides in biomedical engineering and clinical research.

Award and Honor🏆

Dr. Tanmay Kulkarni has received several prestigious awards and honors that reflect his outstanding contributions to biomedical research and scientific innovation. He was honored with the Outstanding Abstract Certificate at the 9th Mayo Clinic Symposium on Immuno-Oncology and Tumor Microenvironment Crosstalk in 2022, recognizing the significance and impact of his research on immune-tumor interactions. Additionally, he earned the Best Poster Presentation Award at the same symposium, further highlighting the excellence of his scientific communication. Dr. Kulkarni’s inclusion in Marquis Who’s Who in November 2024 acknowledges his professional achievements and influence in the scientific community. His appointment as Guest Editor for special issues in leading journals and his roles on editorial and reviewer boards—including Frontiers in Bioengineering and Biotechnology, European Journal of Biophysics, and Biosensors Journal—underscore his leadership and service to the field. These accolades collectively reflect his innovation, academic rigor, and dedication to advancing translational biomedical science.

Research Skill🔬

Dr. Tanmay Kulkarni possesses a diverse and advanced set of research skills that support his multidisciplinary investigations in biomedical science and engineering. He is highly proficient in designing and conducting complex experiments, particularly those involving atomic force microscopy, confocal imaging, Raman spectroscopy, and biomaterials characterization. Dr. Kulkarni is skilled in statistical data analysis, figure preparation, and manuscript development, having authored numerous high-impact publications. His technical expertise extends to software tools such as GraphPad Prism, Origin, ImageJ, MATLAB, Biorender, and Endnote, which he uses for data visualization and scientific reporting. He is experienced in NIH grant writing and has successfully submitted multiple research proposals as a principal and co-investigator. Furthermore, he is adept at scientific editing, proofreading, and adhering to journal-specific guidelines, often serving as a reviewer and editorial board member for reputed journals. Dr. Kulkarni’s strengths also include interdisciplinary collaboration and mentoring, enabling impactful research across engineering, biology, and clinical domains.

Conclusion💡

Dr. Tanmay Kulkarni is an excellent candidate for the Best Researcher Award. His outstanding publication record, multidisciplinary expertise, editorial leadership, and sustained scientific productivity make him highly deserving of this recognition. With continued focus on broader impact and recognition, his profile will only grow stronger. His application would stand out among nominees due to its depth, breadth, and alignment with innovation and academic excellence.

Publications Top Noted✍️

  • Slaughter, G. & Kulkarni, T. (2015)
    Title: Enzymatic glucose biofuel cell and its application
    Journal: Journal of Biochips & Tissue Chips, 5(1), 1
    Citations: 104

  • Slaughter, G. & Kulkarni, T. (2016)
    Title: A self-powered glucose biosensing system
    Journal: Biosensors and Bioelectronics, 78, 45-50
    Citations: 102

  • Kulkarni, T. & Slaughter, G. (2016)
    Title: Application of semipermeable membranes in glucose biosensing
    Journal: Membranes, 6(4), 55
    Citations: 84

  • Slaughter, G. & Kulkarni, T. (2017)
    Title: Highly selective and sensitive self-powered glucose sensor based on capacitor circuit
    Journal: Scientific Reports, 7(1), 1471
    Citations: 76

  • Kulkarni, T. & Slaughter, G. (2017)
    Title: Characteristics of two self-powered glucose biosensors
    Journal: IEEE Sensors Journal, 17(12), 3607–3612
    Citations: 34

  • Slaughter, G. & Kulkarni, T. (2016)
    Title: Fabrication of palladium nanowire array electrode for biofuel cell application
    Journal: Microelectronic Engineering, 149, 92–96
    Citations: 33

  • Kulkarni, T., Tam, A., Mukhopadhyay, D., & Bhattacharya, S. (2019)
    Title: AFM study: Cell cycle and probe geometry influences nanomechanical characterization of Panc1 cells
    Journal: Biochimica et Biophysica Acta (BBA) – General Subjects, 1863(5), 802–812
    Citations: 29

  • Arthur, P., Kandoi, S., Sun, L., Kalvala, A., Kutlehria, S., Bhattacharya, S., … (Kulkarni, T.) (2023)
    Title: Biophysical, molecular and proteomic profiling of human retinal organoid-derived exosomes
    Journal: Pharmaceutical Research, 40(4), 801–816
    Citations: 28

  • Slaughter, G. & Kulkarni, T. (2019)
    Title: Detection of human plasma glucose using a self-powered glucose biosensor
    Journal: Energies, 12(5), 825
    Citations: 23

  • Kulkarni, T. & Slaughter, G. (2016)
    Title: Self-powered glucose biosensor operating under physiological conditions
    Conference: 2016 IEEE SENSORS, 1–3
    Citations: 22

  • Kulkarni, T., Angom, R.S., Das, P., Bhattacharya, S., & Mukhopadhyay, D. (2019)
    Title: Nanomechanical insights: Amyloid beta oligomer-induced senescent brain endothelial cells
    Journal: BBA – Biomembranes, 1861(12), 183061
    Citations: 21

Chaline Phiphattanaphiphop | Agricultural and Biological Sciences | Best Researcher Award

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Prof. Dr. Chalinee Phiphattanaphiphop | Agricultural and Biological Sciences | Best Researcher Award

Lecturer at Faculty of Engineering , Chiang Mai University, Thailand

Chalinee Phiphattanaphiphop is a Ph.D. candidate in the Department of Industrial Engineering at Chiang Mai University, specializing in microfluidic systems, semen analysis, and microfabrication. Her research focuses on innovative technologies, such as lab-on-a-chip devices and MEMS (Micro-Electro-Mechanical Systems), to improve biological analysis and reproductive technologies. Chalinee has made significant contributions to microfluidic applications in dairy farming, particularly for detecting mastitis and separating white blood cells in raw milk. She has also worked extensively on sperm selection technologies for livestock, aiming to enhance productivity in the reproductive sector. Her published works are widely recognized in the fields of microfluidics and reproductive science.

Professional Profile 

  • Google Scholar
  • Scopus Profile
  • ORCID Profile

Education

Chalinee Phiphattanaphiphop is currently pursuing a Ph.D. in Industrial Engineering at Chiang Mai University, where she has developed a strong foundation in microfluidics, microfabrication, and sensor technologies. Her academic journey has been centered on the application of these fields to biological and agricultural systems. Before pursuing her Ph.D., Chalinee obtained a comprehensive education in engineering, equipping her with essential skills in research and development, which she applies in her current doctoral work.

Professional Experience

Chalinee Phiphattanaphiphop’s professional experience includes extensive research in the application of microfluidic systems for biological analysis and assisted reproductive technologies. As a researcher at Chiang Mai University, she has contributed to multiple high-impact projects, including the development of microfluidic devices for sperm sorting and mastitis detection in dairy cows. She has collaborated with experts in industrial engineering, biology, and agriculture to create cutting-edge technologies aimed at improving the efficiency and sustainability of livestock production. Her work is pivotal in advancing the intersection of engineering and biological sciences.

Research Interest

Chalinee Phiphattanaphiphop’s research interests lie at the intersection of microfluidics, bioengineering, and reproductive technologies. Her work primarily focuses on the development of microfluidic devices for biological analysis, including sperm selection and semen evaluation. She is particularly interested in the application of lab-on-a-chip technologies for precision reproductive systems, with an emphasis on improving the efficiency and accuracy of sperm sorting for livestock breeding. Additionally, Chalinee explores the use of microfluidic systems in agricultural and biomedical fields, such as detecting mastitis in dairy cows and sorting white blood cells in raw milk. Her research contributes to enhancing productivity in the agricultural sector and advancing reproductive health technologies through innovative engineering solutions.

Awards and Honors

Chalinee Phiphattanaphiphop has received recognition for her groundbreaking research and contributions to the field of microfluidics and reproductive technologies. Her work on microfluidic devices for sperm sorting and mastitis detection has earned her opportunities to present at leading scientific conferences. While specific awards are not listed, her high-impact publications, collaborations with experts, and contributions to the development of novel technologies showcase her expertise and dedication to advancing both academic and practical applications of microfluidic systems in the biological sciences. Chalinee’s research continues to have a meaningful impact on the development of precision engineering solutions for reproductive health and agricultural productivity.

Publications Top Noted

  • “The optimal solution of microfluidic device for separating white blood cells in raw milk”
    • Authors: Juckapong Keawkaew, Chalinee Phiphattanaphiphop, Komgrit Leksakul, Rungrueang Phatthanakun, Trisadee Khamlor
    • Year: 2025
    • Journal: Sensors and Actuators A: Physical
    • Citation: 0 citations
  • “Fabrication of spectroscopic microfluidic chips for mastitis detection in raw milk”
    • Authors: Chalinee Phiphattanaphiphop, Komgrit Leksakul, Wasawat Nakkiew, Rungrueang Phatthanakun, Trisadee Khamlor
    • Year: 2023
    • Journal: Scientific Reports
    • Citation: 7 citations
  • “Antibody-Conjugated Magnetic Beads for Sperm Sexing Using a Multi-Wall Carbon Nanotube Microfluidic Device”
    • Authors: Chalinee Phiphattanaphiphop, Komgrit Leksakul, Thananut Wanta, Trisadee Khamlor, Rungrueang Phatthanakun
    • Year: 2022
    • Journal: Micromachines
    • Citation: 3 citations
  • “A Microfluidic Sensor for Single Cell Detection and Counting Bull Sperms Cell”
    • Authors: Chalinee Phiphattanaphiphop, Rungrueang Phatthanakun, Komgrit Leksakul
    • Year: 2022
    • Conference: BMEiCON 2022 – 14th Biomedical Engineering International Conference
    • Citation: 0 citations
  • “A novel microfluidic chip-based sperm-sorting device constructed using design of experiment method”
    • Authors: Chalinee Phiphattanaphiphop, Komgrit Leksakul, Rungrueang Phatthanakun, Trisadee Khamlor
    • Year: 2020
    • Journal: Scientific Reports
    • Citation: 23 citations
  • “Multiwalled Carbon Nanotubes in Microfluidic Chip for the Separation of X- And Y-Sperm Based on a Photolithography Technique”
    • Authors: Chalinee Phiphattanaphiphop, Komgrit Leksakul, Rungrueang Phatthanakun, Mohammad M. Rana, Hiroshi Suzuki
    • Year: 2020
    • Journal: Journal of Microelectromechanical Systems
    • Citation: 4 citations
  • “Real-time single cell monitoring: Measurement and counting of motile sperm using LCR impedance-integrated microfluidic device”
    • Authors: Chalinee Phiphattanaphiphop, Komgrit Leksakul, Rungrueang Phatthanakun, Arak Suthummapiwat
    • Year: 2019
    • Journal: Micromachines
    • Citation: 4 citations

Jabir Arif | Agricultural and Biological Sciences | Best Researcher Award

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Jabir Arif | Agricultural and Biological Sciences | Best Researcher Award

Assoc Prof Dr Jabir Arif, Sidi Mohamed Ben Abdellah University, Morocco

Jabir Arif is a distinguished scholar in Industrial Engineering and Logistics. His expertise encompasses Supply Chain Management, IoT, AI, and Risk Assessment. Jabir has published extensively in high-impact journals and has presented at international conferences. He has pioneered innovative solutions for logistics optimization, significantly enhancing efficiency and reducing costs across various industries. In addition to his research, he has actively collaborated with industry partners, contributing to the development of new tools and methodologies. Jabir also organizes workshops and seminars, and serves as a reviewer and Technical Committee member for prestigious journals and conferences. 🌐📦📊

Publication profile

Education

Jabir Arif is a key figure in Industrial Engineering and Logistics, specializing in Supply Chain Management, IoT, AI, and risk assessment. 📦🌐 He has published extensively in high-impact journals and presented at international conferences. 🌍📚 His work on IoT and AI applications in supply chain management has led to practical implementations that enhance efficiency and reduce costs. 💡🔧 Jabir actively collaborates with industry partners, developing new tools and methodologies. 🤝🔍 He organizes workshops and training sessions for professionals and students, and serves as a reviewer and Technical Committee member for prestigious journals and conferences. 🏫📋

Experience

Jabir Arif has significantly contributed to R&D, innovations, and extension activities in Industrial Engineering and Logistics 📦. His research spans Supply Chain Management, Outsourcing of Logistics, Risk Assessment, IoT, AI, and Industrial Engineering 🤖. Jabir has published in high-impact journals and presented at international conferences 🌍. He has advanced IoT and AI in supply chain management, creating innovative solutions for risk assessment and logistics optimization 🔍. His work has practical applications in various industries, enhancing efficiency and reducing costs 🏭. Additionally, Jabir organizes workshops, seminars, and training sessions 📚, and serves as a reviewer for prestigious journals and conferences 📝.

Awards

Jabir Arif is a distinguished speaker at IEOM Society events 🌍, presenting on “Global Supply Chain and Logistics” in 2022 and 2023 📅. He is a member of the Industrial Engineering and Operations Management Society and serves as Faculty Advisor for IEOM Student Chapters 🏫. He is on the steering committee for the International Congress of Engineering and Complex Systems and has chaired oral sessions at the International Conference on Digital Technologies and Applications 🎤. Jabir is a permanent researcher at the Research Laboratory of Technologies and Industrial Services in Fez and an associate researcher at the Research Laboratory of Modeling and Optimization of Industrial and Logistics Systems in Tetouan 🔬. Additionally, he is a member of IEEE and a reviewer for prestigious journals in Industrial Engineering and Operations Management 📚.

Research focus

Dr. J Arif’s research primarily focuses on logistics and supply chain management, emphasizing the implementation of advanced technologies like the Internet of Things (IoT) and Industry 4.0. His work includes improving traceability processes, risk assessment in logistics outsourcing, and enhancing logistics service performance. He has contributed significantly to understanding the integration of lean management with modern technological frameworks in supply chains. His studies also explore the sustainability aspects of supply chains through IoT applications and demand forecasting techniques in various industries, including automotive and semiconductor manufacturing. 🚛📦🔗📡🌿

Publication top notes

 

Sucheta Tripathy | Agricultural and Biological Sciences | Women Researcher Award

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Prof. Dr. Sucheta Tripathy | Agricultural and Biological Sciences | Women Researcher Award

Scientist of IICB, India

Prof. Dr. Sucheta Tripathy 🌟 is a Senior Principal Scientist at CSIR-Indian Institute of Chemical Biology and a Professor of Biological Sciences at The Academy of Scientific and Innovative Research (AcSIR) in Kolkata, India. With a distinguished career in microbial genomics and metabolic re-engineering, she has made significant contributions to understanding Oomycetes pathogens and discovering innovative solutions for environmental and agricultural challenges. Her pioneering work includes uncovering novel Cyanobacterium for pH remediation and extremophiles with adaptive gene advantages. Prof. Tripathy’s expertise in AI/ML applications and bioinformatics supports her research, which is pivotal in developing software tools for advanced sequencing data analysis. She leads a lab focused on integrating genomic resources and computational tools to push the boundaries of biological research and technological applications. 🌱🔬💻

Professional Profile:

Education🎓 

Prof. Dr. Sucheta Tripathy 📚 has an impressive educational background in plant molecular biology and genetics. She earned her Ph.D. in Plant Molecular Biology from the Center for Plant Molecular Biology, Hyderabad, in 1997 🌿. Before that, she completed her Master of Science in Botany and Genetics at Utkal University, Vani Vihar, Bhubaneswar, in 1992 🎓. Her academic journey began with a Bachelor of Science in Botany, Chemistry, and Zoology from BJB College, Bhubaneswar, in 1990 🌸. Her diverse educational experiences laid a strong foundation for her pioneering research in microbial genomics and metabolic engineering. 🌱🔬

Professional Experience 💼

Prof. Dr. Sucheta Tripathy has an extensive and distinguished career in the field of scientific research and bioinformatics. Since October 2018, she has been serving as a Senior Principal Scientist and Professor at the CSIR-Indian Institute of Chemical Biology and The Academy of Scientific and Innovative Research (AcSIR) in Kolkata, where she leads groundbreaking research in microbial genomics and metabolic re-engineering 🔬. In her role, she also oversees the IT division, ensuring the smooth operation of the institute’s technological infrastructure 💻. Prior to this, she was a Principal Scientist and Ramalingaswamy Fellow at CSIR-IICB from 2012 to 2018, focusing on genomic science and computational tools for understanding microbial genomes 🔍. Her earlier career includes notable positions as a Senior Research Scientist at Virginia Polytechnic and State University, where she led bioinformatics research, and roles in industry at Avesthagengrain Ltd. and DSQ Biotech Limited, managing various industry projects 🌟.

Research interest🔍

Prof. Dr. Sucheta Tripathy specializes in cutting-edge research in microbial genomics and metabolic engineering 🔬. Her research delves into the mechanisms of pathogenesis involving Oomycetes pathogens and the discovery of critical RXLR motifs that facilitate host cell entry 🦠. She has made significant advancements in developing genomic resources widely used by researchers and identified novel cyanobacteria and contaminants with unique properties for pH and heavy metal remediation 🌿. Prof. Tripathy’s work also explores the effects of exogenous nitrogen on nitrogen-fixing organisms and the adaptive advantages of extremophiles 🚜. Additionally, her lab leverages AI/ML techniques for sequence classification and develops software tools for analyzing next-generation sequencing data 💡.

Award and Honor🏅

Prof. Dr. Sucheta Tripathy has received numerous accolades for her groundbreaking contributions to science and research 🏆. She has been recognized for her pivotal work in microbial genomics and metabolic engineering 🔬. Her achievements include leading significant discoveries in pathogen mechanisms and environmental remediation 🌍. As a distinguished Senior Principal Scientist and Professor at CSIR-Indian Institute of Chemical Biology and The Academy of Scientific and Innovative Research (AcSIR), her leadership and research have earned her high praise and respect within the scientific community 🌟. Her role in advancing bioinformatics and AI/ML methods for genomic analysis further underscores her commitment to innovation and excellence 👩‍🔬.

 

Research Skill🔍

Prof. Dr. Sucheta Tripathy is renowned for her exceptional research skills in several advanced scientific domains 🔬. Her expertise spans genomics, transcriptomics, and bioinformatics, particularly in the analysis of microbial genomes and metagenomes 🌱. She excels in metabolic engineering and disease biology, applying machine learning techniques to unravel complex biological processes 🤖. Her proficiency in programming and bioinformatics tools—such as Python, R, PHP, and Linux—enables her to build sophisticated software and resources for sequencing data analysis 🖥️. Prof. Tripathy’s innovative approach in using AI/ML for sequence classification and her leadership in microbial genomics highlight her significant impact on modern biological research 🌟.

 

Achievements🏆

  • Discovery of RXLR Motifs: Unraveled the pathogenesis mechanism of Oomycetes pathogens, instrumental for host cell entry 🔬🦠.
  • Innovative Cyanobacterium: Identified Leptolyngbya iicbica with instant pH remediation properties 🌿.
  • Heavy Metal Remediation: Discovered Arthrinium sp. as a contaminant with heavy metal remediation capabilities ♻️.
  • Agricultural Impact: Analyzed reduced fitness in nitrogen-fixing organisms with exogenous nitrogen, affecting long-term agriculture 🌾🔍.
  • Extremophiles Research: Isolated extremophiles revealing genes from unknown sources that confer adaptive advantages 🌋🧬.
  • AI/ML Integration: Applied AI/ML methods for sequence classification and developed software tools for analyzing second and third-generation sequencing data 🤖💻.
  • Leadership in Bioinformatics: Led a lab in microbial genomics and metabolic re-engineering, overseeing IT infrastructure as Head of IT Division 🧪👩‍💻.

Projects📊

  • Pathogenesis of Oomycetes: Investigated the mechanisms behind Oomycetes pathogens and their RXLR motifs for host cell entry 🔬🦠.
  • Cyanobacterium for pH Remediation: Discovered Leptolyngbya iicbica with effective pH remediation properties 🌿💧.
  • Heavy Metal Remediation: Identified Arthrinium sp. as a contaminant with capabilities for heavy metal remediation ♻️⚙️.
  • Impact on Agriculture: Studied the long-term effects of exogenous nitrogen on nitrogen-fixing organisms and agriculture 🌾🔍.
  • Extremophiles Research: Isolated extremophiles with unique genes contributing to adaptive advantages 🌋🧬.
  • AI/ML in Sequencing: Used AI/ML methods for sequence classification and developed software tools for sequencing data analysis 🤖📊.
  • Bioinformatics Tools: Created and utilized bioinformatics tools and resources for analyzing genome, metagenome, and transcriptome sequences 🧬💻.

Publications📜

  • Distinct genome trichotomy in members of Hapalosiphonaceae is guided by habitat adaptation with Mastigocladus laminosus UU774 as a case study
    Authors: Geeta, A., Mukherjee, M., Das, B., Sarkar, M.P., Tripathy, S.
    Journal: Algal Research
    Year: 2024
    Citation: 0
    Emoji: 🌿🧬
  • Novel oceanic cyanobacterium isolated from Bangaram island with profound acid neutralizing ability is proposed as Leptolyngbya iicbica sp. nov. strain LK
    Authors: Dutta, S., Kothari, S., Singh, D., Prusty, A., Tripathy, S.
    Journal: Molecular Phylogenetics and Evolution
    Year: 2024
    Citation: 1
    Emoji: 🌊🔬
  • Thermally stable bioactive borosilicate glasses: Composition–structure–property correlations
    Authors: Chakraborty, A., Prasad, S., Kant, S., Bodhak, S., Biswas, K.
    Journal: Journal of Materials Research
    Year: 2023
    Citation: 0
    Emoji: 🔥🧪
  • Comparative Genomic Analysis of 31 Phytophthora Genomes Reveals Genome Plasticity and Horizontal Gene Transfer
    Authors: Kronmiller, B.A., Feau, N., Shen, D., Hamelin, R.C., Grünwald, N.J.
    Journal: Molecular Plant-Microbe Interactions
    Year: 2023
    Citation: 8
    Emoji: 🧬📊
  • Incipient Sympatric Speciation and Evolution of Soil Bacteria Revealed by Metagenomic and Structured Non-Coding RNAs Analysis
    Authors: Mukherjee, S., Kuang, Z., Ghosh, S., Nevo, E., Li, K.
    Journal: Biology
    Year: 2022
    Citation: 3
    Emoji: 🌱🔍
  • Genome Analysis Coupled With Transcriptomics Reveals the Reduced Fitness of a Hot Spring Cyanobacterium Mastigocladus laminosus UU774 Under Exogenous Nitrogen Supplement
    Authors: Mukherjee, M., Geeta, A., Ghosh, S., Adhikary, S.P., Tripathy, S.
    Journal: Frontiers in Microbiology
    Year: 2022
    Citation: 4
    Emoji: 🌡️🔬
  • Comparative Genome Analysis Across 128 Phytophthora Isolates Reveal Species-Specific Microsatellite Distribution and Localized Evolution of Compartmentalized Genomes
    Authors: Mandal, K., Dutta, S., Upadhyay, A., Panda, A., Tripathy, S.
    Journal: Frontiers in Microbiology
    Year: 2022
    Citation: 3
    Emoji: 🌿🧬
  • Factors governing the sinterability, In vitro dissolution, apatite formation and antibacterial properties in B2O3 incorporated S53P4 based glass powders
    Authors: Prasad, S., Fábián, M., Tarafder, A., Allu, A.R., Biswas, K.
    Journal: Ceramics International
    Year: 2022
    Citation: 3
    Emoji: 🧪🧱
  • Erratum to “Elucidating the effect of CaF2 on structure, biocompatibility and antibacterial properties of S53P4 glass” [J. Alloy. Compd. 831 (2020) 154704]
    Authors: Prasad, S., Ganisetti, S., Jana, A., Allu, A.R., Biswas, K.
    Journal: Journal of Alloys and Compounds
    Year: 2021
    Citation: 0
    Emoji: ⚠️🧪
  • Erratum: Structure and Stability of High CaO- And P2O5-Containing Silicate and Borosilicate Bioactive Glasses (The Journal of Physical Chemistry B (2019) 123:35 (7558-7569) DOI: 10.1021/acs.jpcb.9b02455)
    Authors: Prasad, S., Gaddam, A., Jana, A., Allu, A.R., Biswas, K.
    Journal: Journal of Physical Chemistry B
    Year: 2021
    Citation: 0
    Emoji: ⚠️📘