Vikas Kumar
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
-
- Enzyme function and inhibition 6
- PI3K/AKT/mTOR signaling in cancer 4
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- Computational Drug Discovery Methods 15
- Co-authors
- Keun Woo Lee (26 shared papers)Shraddha Parate (17 shared papers)Gihwan Lee (9 shared papers)Swapandeep Singh Chimni (1 shared paper)Ankur Teredesai (9 shared papers)Christopher Roche (6 shared papers)Howard Routman (5 shared papers)Jong Chan Hong (10 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Pharmaceuticals (3 papers)Computers in Biology and Medicine (2 papers)Journal of Shoulder and Elbow Surgery (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- South KoreaIndiaUnited States
In The Last Decade
Vikas Kumar
64 papers receiving 888 citations
Peers
Comparison fields: 5 of 137
- Health Informatics 36
- Computational Theory and Mathematics 153
- Pharmacology 41
- Molecular Biology 251
- Surgery 136
Countries citing papers authored by Vikas Kumar
This map shows the geographic impact of Vikas 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 Vikas Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Kumar more than expected).
Fields of papers citing papers by Vikas Kumar
This network shows the impact of papers produced by Vikas 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 Vikas Kumar. The network helps show where Vikas Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2021 | 68 | |
| 3 | 2020 | 63 | |
| 4 | 2021 | 55 | |
| 5 | 2015 | 45 | |
| 6 | 2015 | 42 | |
| 7 | 2015 | 38 | |
| 8 | 2022 | 36 | |
| 9 | 2021 | 32 | |
| 10 | 2020 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 25 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 21 | |
| 15 | 2022 | 19 | |
| 16 | 2022 | 18 | |
| 17 | 2022 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2021 | 15 | |
| 20 | 2021 | 15 |
About Vikas Kumar
Vikas Kumar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Surgery, Infectious Diseases and Organic Chemistry, having authored 68 papers that have together received 905 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Enzyme function and inhibition (6 papers), Shoulder Injury and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Machine Learning in Healthcare (3 papers), Synthesis and biological activity (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Health Informatics (36 citations), Computational Theory and Mathematics (153 citations), Pharmacology (41 citations), Molecular Biology (251 citations) and Surgery (136 citations). Vikas Kumar has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Keun Woo Lee, Shraddha Parate, Gihwan Lee, Swapandeep Singh Chimni, Ankur Teredesai, Christopher Roche, Howard Routman, Jong Chan Hong, Steven Overman and Joseph D. Zuckerman. Their work appears in journals such as International Journal of Molecular Sciences, Pharmaceuticals, Computers in Biology and Medicine, Journal of Shoulder and Elbow Surgery and International Journal of Biological Macromolecules.
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.