Sanjit Kumar
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
Papers in
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- Biochemical and Molecular Research 3
-
- SARS-CoV-2 and COVID-19 Research 2
- Tuberculosis Research and Epidemiology 2
- Co-authors
- Punit Kaur (5 shared papers)N. Singh (4 shared papers)Nitin Khandelwal (1 shared paper)Karuppusamy Shanmugasundaram (1 shared paper)Yash Pal (1 shared paper)Naveen Kumar (1 shared paper)Khushboo Chaudhary (1 shared paper)Anand Kumar (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)International Journal of Biological Macromolecules (2 papers)Chemistry & Biodiversity (2 papers)Current Protein and Peptide Science (1 paper)Animals (1 paper)
- Partner nations
- IndiaUnited StatesTaiwan
In The Last Decade
Sanjit Kumar
25 papers receiving 280 citations
Peers
Comparison fields: 5 of 74
- Virology 86
- Biotechnology 21
- Molecular Medicine 10
- Epidemiology 62
- Toxicology 6
Countries citing papers authored by Sanjit Kumar
This map shows the geographic impact of Sanjit 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 Sanjit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjit Kumar more than expected).
Fields of papers citing papers by Sanjit Kumar
This network shows the impact of papers produced by Sanjit 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 Sanjit Kumar. The network helps show where Sanjit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjit 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 90 | |
| 2 | 2009 | 28 | |
| 3 | 2011 | 28 | |
| 4 | 2024 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2010 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2023 | 10 | |
| 10 | 2010 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2011 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2009 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2017 | 3 |
About Sanjit Kumar
Sanjit Kumar is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Organic Chemistry and Computational Theory and Mathematics, having authored 29 papers that have together received 288 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (3 papers), Computational Drug Discovery Methods (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Antibiotic Resistance in Bacteria (2 papers), Drug Transport and Resistance Mechanisms (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Synthesis and biological activity (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Virology (86 citations), Biotechnology (21 citations), Molecular Medicine (10 citations), Epidemiology (62 citations) and Toxicology (6 citations). Sanjit Kumar has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Punit Kaur, N. Singh, Nitin Khandelwal, Karuppusamy Shanmugasundaram, Yash Pal, Naveen Kumar, Khushboo Chaudhary, Anand Kumar, Yogesh Chander and Bhupendra Nath Tripathi. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, International Journal of Biological Macromolecules, Chemistry & Biodiversity, Current Protein and Peptide Science and Animals.
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.