Supratik Kar

7.2k total citations · 4 hit papers
118 papers, 5.0k citations indexed

About

Supratik Kar is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Supratik Kar has authored 118 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computational Theory and Mathematics, 29 papers in Molecular Biology and 22 papers in Materials Chemistry. Recurrent topics in Supratik Kar's work include Computational Drug Discovery Methods (74 papers), Chemistry and Chemical Engineering (17 papers) and Metabolomics and Mass Spectrometry Studies (12 papers). Supratik Kar is often cited by papers focused on Computational Drug Discovery Methods (74 papers), Chemistry and Chemical Engineering (17 papers) and Metabolomics and Mass Spectrometry Studies (12 papers). Supratik Kar collaborates with scholars based in United States, India and Poland. Supratik Kar's co-authors include Kunal Roy, Jerzy Leszczyński, Pravin Ambure, Rudra Narayan Das, Probir Kumar Ojha, Indrani Mitra, Hans Sanderson, Emilio Benfenati, Juganta K. Roy and Md. Humayun Kabir and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Supratik Kar

114 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On a simple approach for determining applicability domain of QSAR models

2015 606 citations Kunal Roy, Supratik Kar et al. profile →
Comparative Studies on Some Metrics for External Validation of QSPR Models

2011 393 citations Kunal Roy, Supratik Kar et al. profile →
Green Chemistry in the Synthesis of Pharmaceuticals

2021 326 citations Supratik Kar, Kunal Roy et al. profile →
Prediction reliability of QSAR models: an overview of various validation tools

2022 115 citations Priyanka De, Supratik Kar et al. Archives of Toxicology profile →

Peers

Countries citing papers authored by Supratik Kar

Since Specialization

Citations

This map shows the geographic impact of Supratik Kar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Supratik Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supratik Kar more than expected).

Fields of papers citing papers by Supratik Kar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Supratik Kar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Supratik Kar. The network helps show where Supratik Kar may publish in the future.

Co-authorship network of co-authors of Supratik Kar

This figure shows the co-authorship network connecting the top 25 collaborators of Supratik Kar. A scholar is included among the top collaborators of Supratik Kar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Supratik Kar. Supratik Kar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Leveraging network pharmacology for drug discovery: Integrative approaches and emerging insights 2025 ·SHILAP Revista de lepidopterología ·(unknown), Supratik Kar	2
2	Decoding cyanide toxicity: Integrating Quantitative Structure-Toxicity Relationships (QSTR) with species sensitivity distributions and q-RASTR modeling 2025 ·Ecotoxicology and Environmental Safety ·Kabiruddin Khan, (unknown), (unknown), Vimala D. Nair, (unknown), Supratik Kar, Agnieszka Gajewicz	5
3	From Feature‐Based Chemical Similarity to Chemical Language Models—A Paradigm Shift in Computer‐Aided Molecular Design and Property Predictions 2025 ·Wiley Interdisciplinary Reviews Computational Molecular Science ·Arkaprava Banerjee, Supratik Kar, Kunal Roy, Grace Patlewicz, Imran Shah, P.G. Karamertzanis, Giuseppina Gini, Emilio Benfenati	0
4	Lazertinib: a novel EGFR-TKI therapy for non-small cell lung cancer 2025 ·Expert Opinion on Drug Metabolism & Toxicology ·(unknown), (unknown), (unknown), Supratik Kar	0
5	Comprehensive ecotoxicological assessment of pesticides on multiple avian species: Employing quantitative structure-toxicity relationship (QSTR) modeling and read-across 2024 ·Process Safety and Environmental Protection ·(unknown), (unknown), (unknown), (unknown), Supratik Kar, Probir Kumar Ojha	9
6	Unveiling G-protein coupled receptor kinase-5 inhibitors for chronic degenerative diseases: Multilayered prioritization employing explainable machine learning-driven multi-class QSAR, ligand-based pharmacophore and free energy-inspired molecular simulation 2024 ·International Journal of Biological Macromolecules ·Arnab Bhattacharjee, Supratik Kar, Probir Kumar Ojha	6
7	How safe are wild-caught salmons exposed to various industrial chemicals? First ever in silico models for salmon toxicity data gaps filling 2024 ·Journal of Hazardous Materials ·Siyun Yang, Supratik Kar	6
8	Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure–activity relationship (q-RASAR) with the application of machine learning 2024 ·Critical Reviews in Toxicology ·Arkaprava Banerjee, Supratik Kar, Kunal Roy, Grace Patlewicz, (unknown), Emilio Benfenati, M Cronin	18
9	Are we ready to combat the ecotoxicity of COVID-19 pharmaceuticals? An in silico aquatic risk assessment 2023 ·Aquatic Toxicology ·Kabiruddin Khan, Supratik Kar, Kunal Roy	10
10	First report on chemometric modeling of tilapia fish aquatic toxicity to organic chemicals: Toxicity data gap filling 2023 ·The Science of The Total Environment ·Siyun Yang, Supratik Kar	11
11	Unveiling first report on in silico modeling of aquatic toxicity of organic chemicals to Labeo rohita (Rohu) employing QSAR and q-RASAR 2023 ·Chemosphere ·(unknown), Supratik Kar	8
12	Computational Modeling of Human Serum Albumin Binding of Per- and Polyfluoroalkyl Substances Employing QSAR, Read-Across, and Docking 2023 ·Molecules ·(unknown), Supratik Kar, Marı́a S. Sepúlveda	10
13	Prediction reliability of QSAR models: an overview of various validation tools breakdown → 2022 ·Archives of Toxicology ·Priyanka De, Supratik Kar, Pravin Ambure, Kunal Roy	115
14	The kernel-weighted local polynomial regression (KwLPR) approach: an efficient, novel tool for development of QSAR/QSAAR toxicity extrapolation models 2021 ·Journal of Cheminformatics ·Agnieszka Gajewicz, Supratik Kar, (unknown), Jerzy Leszczyński	21
15	From Animal to Human: Interspecies Analysis Provides a Novel Way of Ascertaining and Fighting COVID-19 2020 ·The Innovation ·Supratik Kar, Jerzy Leszczyński	9
16	Protein reliability analysis and virtual screening of natural inhibitors for SARS-CoV-2 main protease (M ^pro ) through docking, molecular mechanic & dynamic, and ADMET profiling 2020 ·Journal of Biomolecular Structure and Dynamics ·(unknown), Supratik Kar, (unknown), (unknown), Wojciech Kołodziejczyk, Jerzy Leszczyński, Glake Hill	19
17	A comprehensive computational analysis of cathinone and its metabolites using quantum mechanical approaches and docking studies 2016 ·Structural Chemistry ·Wojciech Kołodziejczyk, Supratik Kar, Glake Hill, Jerzy Leszczyński	6
18	Development and validation of regression-based QSAR models for quantification of contributions of molecular fragments to skin sensitization potency of diverse organic chemicals 2013 ·SAR and QSAR in environmental research ·Ashis Nandy, Supratik Kar, Kunal Roy	15
19	QSAR of phytochemicals for the design of better drugs 2012 ·Expert Opinion on Drug Discovery ·Supratik Kar, Kunal Roy	27
20	First report on predictive chemometric modeling, 3D-toxicophore mapping and in silico screening of in vitro basal cytotoxicity of diverse organic chemicals 2012 ·Toxicology in Vitro ·Supratik Kar, Kunal Roy	15

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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