0000-0003-4486-8074 About
Dr. Kunal Roy is Professor & Ex-Head in the Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India (https://sites.google.com/site/kunalroyindia). He has been a recipient of Commonwealth Academic Staff Fellowship (University of Manchester, 2007) and Marie Curie International Incoming Fellowship (University of Manchester, 2013) and a former visiting scientist of Istituto di Ricerche Farmacologiche "Mario Negri" IRCCS, Milano. Italy. The field of his research interest is Quantitative Structure-Activity Relationship (QSAR) and Molecular Modeling with application in Drug Design, Property Modeling and Predictive Ecotoxicology. Dr. Roy has published more than 500 research articles (ORCID: http://orcid.org/0000-0003-4486-8074) in refereed journals (current SCOPUS h index 61; total citations to date more than 19000). He has also coauthored three QSAR-related books (Academic Press and Springer), edited thirteen QSAR books (Springer, Academic Press, and IGI Global), and published twenty five book chapters.
Other details:
Co-Editor-in-Chief, Molecular Diversity (Springer) (http://www.springeronline.com/journal/11030/) [Impact Factor 4.3 (2025)]
Associate Editor, Journal of Molecular Graphics and Modelling (Elsevier, http://www.journals.elsevier.com/journal-of-molecular-graphics-and-modelling) [Impact Factor 3.1 (2025)]
Associate Editor, Computational and Structural Biotechnology Journal (Elsevier) (https://www.sciencedirect.com/journal/computational-and-structural-biotechnology-journal/about/editorial-board) [Impact Factor 4.8 (2025)]
Member of the Editorial Advisory Board:
(1) European Journal of Medicinal Chemistry (Elsevier, http://www.elsevier.com/locate/ejmech/) [Impact Factor 6.7 (2025)]
(2) Chemical Biology and Drug Design (Wiley, http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1747-0285) [Impact Factor 3.3 (2025)]
(3) Expert Opinion on Drug Discovery (Informa, http://informahealthcare.com/loi/edc ) [Impact Factor 7.3 (2025)]
Formerly, Founding Editor-in-Chief, International Journal of Quantitative Structure-Property Relationships (IJQSPR), http://www.igi-global.com/journal/international-journal-quantitative-structure-property/126552
Placed in the list of the World's Top 2% science-wide author database (whole career data) (World rank 52 in the subfield of Medicinal & Biomolecular Chemistry) (Ioannidis, John P.A. (2025), "August 2025 data-update for "Updated science-wide author databases of standardized citation indicators", Elsevier Data Repository, V8, link: http://doi.org/10.17632/btchxktzyw.8).
Employment
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Jadavpur University2002 - Present
Education
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Jadavpur University PhD? - 2000
Projects & Funding
Projects & funding information is unavailable.
Publications (430)
- OralAbsPredict: A data-driven framework to predict human intestinal absorption (HIA) and human oral bioavailability (HOB) from chemical structures Save
- Quantitative read-across structure-activity relationship modeling for the prediction of pancreatic lipase inhibitory activity of dietary polyphenols and saponins as potential anti-obesity agents Save
- Q performance 2: Toward Unbiased Selection of Machine-Learning Regression Models Save
- 𝑴𝑪𝑪𝑷𝒆𝒓𝒇𝒐𝒓𝒎𝒂𝒏𝒄𝒆: Towards unbiased selection of machine learning classification models – Case studies on environmental QSAR endpoints Save
- Q2Performance: Towards unbiased selection of machine learning regression models Save
- A read-across data gap filling approach for the emission of Volatile Organic Compounds (VOCs) in plastic waste recycling Save
- Machine Learning-Based Quantitative Structure Activity Relationship Modeling of Repeated Dose Toxicity: A Data-Driven Approach Following Organisation for Economic Co-operation and Development Test Guidelines 407, 408, and 422 Supported by Experimental Va… Save
- AI and ML for small molecule drug discovery in the big data era IV Save
- Machine Learning-Based QSPR Modeling of log CMC Values of Per- and Polyfluoroalkyl Substances (PFASs) and the Identification of Property Cliffs Save
- Nanoinformatics: spanning scales, systems and solutions Save