Vinay Kumar
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Computational Drug Discovery Methods 23
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- RNA Interference and Gene Delivery 3
- Co-authors
- Kunal Roy (24 shared papers)Probir Kumar Ojha (13 shared papers)Achintya Saha (6 shared papers)Arkaprava Banerjee (5 shared papers)Sourav Pal (1 shared paper)Arindam Talukdar (1 shared paper)Biswajit Kundu (1 shared paper)Priyanka De (5 shared papers)
- Journals
- SAR and QSAR in environmental research (4 papers)Chemometrics and Intelligent Laboratory Systems (2 papers)ACS Omega (2 papers)Journal of Biomolecular Structure and Dynamics (2 papers)Expert Opinion on Drug Discovery (2 papers)
- Partner nations
- IndiaUnited StatesCzechia
In The Last Decade
Vinay Kumar
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Computational Theory and Mathematics 389
- Pharmacology 152
- Pharmacology 53
- Organic Chemistry 184
- Molecular Biology 377
Countries citing papers authored by Vinay Kumar
This map shows the geographic impact of Vinay Kumar'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 Vinay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Kumar more than expected).
Fields of papers citing papers by Vinay Kumar
This network shows the impact of papers produced by Vinay Kumar. 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 Vinay Kumar. The network helps show where Vinay Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vinay Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 144 | |
| 2 | 2011 | 64 | |
| 3 | 2020 | 54 | |
| 4 | 2020 | 42 | |
| 5 | 2020 | 42 | |
| 6 | 2021 | 41 | |
| 7 | 2011 | 32 | |
| 8 | 2019 | 32 | |
| 9 | 2018 | 31 | |
| 10 | 2018 | 31 | |
| 11 | 2009 | 29 | |
| 12 | 2022 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2016 | 25 | |
| 15 | 2022 | 25 | |
| 16 | 2024 | 24 | |
| 17 | 2020 | 23 | |
| 18 | 2022 | 22 | |
| 19 | 2022 | 21 | |
| 20 | 2020 | 21 |
About Vinay Kumar
Vinay Kumar is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Organic Chemistry and Pharmacology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Synthesis and biological activity (6 papers), Pharmacogenetics and Drug Metabolism (4 papers), MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (3 papers), Insect and Pesticide Research (3 papers) and Pesticide Residue Analysis and Safety (3 papers). The work is most often cited by research in Computational Theory and Mathematics (389 citations), Pharmacology (152 citations), Pharmacology (53 citations), Organic Chemistry (184 citations) and Molecular Biology (377 citations). Vinay Kumar has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Kunal Roy, Probir Kumar Ojha, Achintya Saha, Arkaprava Banerjee, Sourav Pal, Arindam Talukdar, Biswajit Kundu, Priyanka De, Mahesh Mohan and Supratik Kar. Their work appears in journals such as SAR and QSAR in environmental research, Chemometrics and Intelligent Laboratory Systems, ACS Omega, Journal of Biomolecular Structure and Dynamics and Expert Opinion on Drug Discovery.
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.