Sunil Kumar
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
-
- Computational Drug Discovery Methods
Papers in
- Pharmacology 33
- Cholinesterase and Neurodegenerative Diseases 33
-
- Computational Drug Discovery Methods 29
- Co-authors
- Bijo Mathew (52 shared papers)Hoon Kim (29 shared papers)Mohamed Abdelwahab Abdelgawad (26 shared papers)Aathira Sujathan Nair (8 shared papers)Manorama Tripathi (3 shared papers)T. M. Rangarajan (8 shared papers)Jong‐Min Oh (15 shared papers)Ashutosh Kumar Singh (5 shared papers)
- Journals
- ACS Omega (8 papers)Scientific Reports (3 papers)Journal of Biomolecular Structure and Dynamics (3 papers)Plant Physiology and Biochemistry (3 papers)Molecules (3 papers)
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
Sunil Kumar
86 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 137
- Pharmacology 298
- Computational Theory and Mathematics 267
- Pharmaceutical Science 85
- Organic Chemistry 359
- Statistics, Probability and Uncertainty 42
Countries citing papers authored by Sunil Kumar
This map shows the geographic impact of Sunil 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 Sunil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Kumar more than expected).
Fields of papers citing papers by Sunil Kumar
This network shows the impact of papers produced by Sunil 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 Sunil Kumar. The network helps show where Sunil Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 144 | |
| 2 | 2018 | 110 | |
| 3 | 2021 | 47 | |
| 4 | 2022 | 46 | |
| 5 | 2022 | 40 | |
| 6 | 2022 | 38 | |
| 7 | 2023 | 33 | |
| 8 | 2024 | 33 | |
| 9 | 2022 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2022 | 31 | |
| 12 | 2024 | 30 | |
| 13 | 2023 | 24 | |
| 14 | 2021 | 23 | |
| 15 | 2022 | 23 | |
| 16 | 2021 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2023 | 19 | |
| 20 | 2023 | 19 |
About Sunil Kumar
Sunil Kumar is a scholar working on Pharmacology, Computational Theory and Mathematics, Organic Chemistry, Physiology and Plant Science, having authored 95 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (33 papers), Computational Drug Discovery Methods (29 papers), Synthesis and biological activity (22 papers), Alzheimer's disease research and treatments (7 papers), Plant Stress Responses and Tolerance (5 papers), Enzyme function and inhibition (4 papers), Computational Physics and Python Applications (3 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Pharmacology (298 citations), Computational Theory and Mathematics (267 citations), Pharmaceutical Science (85 citations), Organic Chemistry (359 citations) and Statistics, Probability and Uncertainty (42 citations). Sunil Kumar has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Bijo Mathew, Hoon Kim, Mohamed Abdelwahab Abdelgawad, Aathira Sujathan Nair, Manorama Tripathi, T. M. Rangarajan, Jong‐Min Oh, Ashutosh Kumar Singh, Mohammed M. Ghoneim and Leena K. Pappachen. Their work appears in journals such as ACS Omega, Scientific Reports, Journal of Biomolecular Structure and Dynamics, Plant Physiology and Biochemistry and Molecules.
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.