Vipul Kumar
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Phytochemicals and Medicinal Plants
Papers in
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- Phytochemicals and Medicinal Plants 9
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- Computational Drug Discovery Methods 9
- Co-authors
- Durai Sundar (22 shared papers)Sunil C. Kaul (16 shared papers)Renu Wadhwa (16 shared papers)Jaspreet Kaur Dhanjal (10 shared papers)Hartmut Derendorf (8 shared papers)Olaf Burkhardt (5 shared papers)Seyed E. Hasnain (4 shared papers)Jasdeep Singh (2 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (6 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Current Topics in Medicinal Chemistry (2 papers)Bioscience Reports (2 papers)Cancers (2 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Vipul Kumar
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Infectious Diseases 331
- Complementary and alternative medicine 148
- Pharmacology 189
- Computational Theory and Mathematics 131
- Drug Discovery 2
Countries citing papers authored by Vipul Kumar
This map shows the geographic impact of Vipul 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 Vipul Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vipul Kumar more than expected).
Fields of papers citing papers by Vipul Kumar
This network shows the impact of papers produced by Vipul 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 Vipul Kumar. The network helps show where Vipul Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vipul 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 141 | |
| 2 | 2020 | 129 | |
| 3 | 2006 | 106 | |
| 4 | 2021 | 95 | |
| 5 | 2021 | 74 | |
| 6 | 2008 | 69 | |
| 7 | 2008 | 59 | |
| 8 | 2021 | 50 | |
| 9 | 2021 | 36 | |
| 10 | 2008 | 24 | |
| 11 | 2007 | 23 | |
| 12 | 2004 | 22 | |
| 13 | 2022 | 22 | |
| 14 | 2024 | 22 | |
| 15 | 2021 | 21 | |
| 16 | HPLC determination of valproic acid in human serum. | 2003 | 20 |
| 17 | 2011 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2021 | 19 | |
| 20 | 2019 | 18 |
About Vipul Kumar
Vipul Kumar is a scholar working on Complementary and alternative medicine, Computational Theory and Mathematics, Infectious Diseases, Oncology and Pharmacology, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Phytochemicals and Medicinal Plants (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Wheat and Barley Genetics and Pathology (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Analytical Methods in Pharmaceuticals (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Infectious Diseases (331 citations), Complementary and alternative medicine (148 citations), Pharmacology (189 citations), Computational Theory and Mathematics (131 citations) and Drug Discovery (2 citations). Vipul Kumar has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Durai Sundar, Sunil C. Kaul, Renu Wadhwa, Jaspreet Kaur Dhanjal, Hartmut Derendorf, Olaf Burkhardt, Seyed E. Hasnain, Jasdeep Singh, Sudhakar Kancharla and Manoj Kumar Jena. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Bioorganic & Medicinal Chemistry Letters, Current Topics in Medicinal Chemistry, Bioscience Reports and Cancers.
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.