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Kunal Roy

Biochemistry — Jadavpur University, India

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Kunal Roy Jadavpur University India
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Biochemistry

Subspecialties: Toxicology - Pharmacy - Informatics

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Short Biography

Dr. Kunal Roy is a 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 450 research articles (ORCID: http://orcid.org/0000-0003-4486-8074) in refereed journals (current SCOPUS h index 59; total citations to date more than 18000). 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. Dr. Roy is the Co-Editor-in-Chief of Molecular Diversity (Springer Nature) and an Associate Editor of Journal of Molecular Graphics and Modelling (Elsevier) and Computational and Structural Biotechnology Journal (Elsevier). Dr. Roy serves on the Editorial Boards of several International Journals, including (1) European Journal of Medicinal Chemistry (Elsevier); (2) Chemical Biology and Drug Design (Wiley); (3) Expert Opinion on Drug Discovery (Informa). Apart from this, Prof. Roy is a regular reviewer for QSAR papers in the journals like Chemosphere (Elsevier), Journal of Hazardous Materials (Elsevier), Ecotoxicology and Environmental Safety (Elsevier), Journal of Chemical Information and Modeling (ACS), ACS Omega (ACS), RSC Advances (RSC), Molecular Informatics (Wiley), SAR and QSAR in Environmental Research (T&F), etc. Prof. Roy has been recipient of several awards including AICTE Career Award (2003-04), DST Fast Track Scheme for Young Scientists (2005), Bioorganic and Medicinal Chemistry Most Cited Paper 2003-2006, 2004-2007 and 2006-2009 Awards from Elsevier, The Netherlands, Bioorganic and Medicinal Chemistry Letters Most Cited Paper 2006-2009 Award from Elsevier, The Netherlands, Professor R. D. Desai 80th Birthday Commemoration Medal & Prize (2017) from Indian Chemical Society, etc. Prof. Roy has been a participant in the EU funded projects nanoBRIDGES and IONTOX apart from several national Government funded projects (UGC, AICTE, CSIR, ICMR, DBT, DAE). Prof. Roy has recently been 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).


Organizations

Career arc: 2002 - 2026
Source: PubMed

Jadavpur University

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Publications Synthesis

Sources: PubMed, OpenAlex

Number : 373

Citations

Citations: 11 131 1st author: 59 Last author: 232 Unique author: 15

Main journals

Chemosphere 19
J Hazard Mater 14
Mol Divers 12
Bioorg Med Chem Lett 11
Comb Chem High Throughput Screen 10

Best Journals

Ann Oncol 1
Chem Rev 1

Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Q performance 2: Toward Unbiased Selection of Machine-Learning Regression Models.
machine learning, learning		J Chem Inf Model20260
Mapping toxicity pathways of per- and polyfluoroalkyl substances using interpretable classification-based machine learning models.
structure-activity relationship, classification, machine learning, learning, environment		SAR QSAR Environ Res20260
A q-RASAR approach for oral and inhalational toxicity prediction of perfluorinated and polyfluorinated compounds (PFCs) using rodent toxicity data.
environment		NAM J20256
OralAbsPredict: A data-driven framework to predict human intestinal absorption (HIA) and human oral bioavailability (HOB) from chemical structures.
biological availability, pharmaceutical preparations, chemistry, pharmaceutical, intestinal absorption, machine learning, pharmacology, learning, absorption		Eur J Med Chem20260
A round-robin exercise for the precise prediction of aqueous solubility of organic chemicals using chemometric, machine learning, and stacking ensemble of deep learning models.
exercise, molecular biology, pharmaceutical preparations, machine learning, organic chemicals, deep learning, learning		J Comput Aided Mol Des20260

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Sources: PubMed, OpenAlex, ClinicalTrials, EU CTIS