Umesh Panwar
Impact in
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- Computational Drug Discovery Methods
- Virology top 10%
- HIV Research and Treatment
Papers in
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- Computational Drug Discovery Methods 11
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- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 2
- Biochemical and Molecular Research 2
- Co-authors
- Sanjeev Kumar Singh (20 shared papers)Chandrabose Selvaraj (9 shared papers)Evžen Bouřa (3 shared papers)Dhurvas Chandrasekaran Dinesh (3 shared papers)Murali Aarthy (3 shared papers)Anuraj Nayarisseri (5 shared papers)Vikash Kumar Dubey (1 shared paper)Poonam C. Singh (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (2 papers)Scientific Reports (2 papers)Applied Biochemistry and Biotechnology (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Frontiers in Chemistry (1 paper)
- Partner nations
- IndiaSaudi ArabiaCzechia
In The Last Decade
Umesh Panwar
20 papers receiving 420 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 188
- Virology 34
- Infectious Diseases 107
- Molecular Biology 203
- Pharmacology 19
Countries citing papers authored by Umesh Panwar
This map shows the geographic impact of Umesh Panwar'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 Umesh Panwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umesh Panwar more than expected).
Fields of papers citing papers by Umesh Panwar
This network shows the impact of papers produced by Umesh Panwar. 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 Umesh Panwar. The network helps show where Umesh Panwar may publish in the future.
Co-authors
The 21 scholars most cited alongside Umesh Panwar, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2020 | 50 | |
| 3 | 2021 | 46 | |
| 4 | 2017 | 35 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 26 | |
| 7 | 2019 | 25 | |
| 8 | 2017 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2018 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 2 |
About Umesh Panwar
Umesh Panwar is a scholar working on Computational Theory and Mathematics, Molecular Biology, Infectious Diseases, Oncology and Organic Chemistry, having authored 21 papers that have together received 421 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (3 papers), HIV/AIDS drug development and treatment (3 papers), HIV Research and Treatment (3 papers), Synthesis and biological activity (2 papers), RNA and protein synthesis mechanisms (2 papers), Biochemical and Molecular Research (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (188 citations), Virology (34 citations), Infectious Diseases (107 citations), Molecular Biology (203 citations) and Pharmacology (19 citations). Umesh Panwar has collaborated with scholars based in India, Saudi Arabia and Czechia. Frequent co-authors include Sanjeev Kumar Singh, Chandrabose Selvaraj, Evžen Bouřa, Dhurvas Chandrasekaran Dinesh, Murali Aarthy, Anuraj Nayarisseri, Vikash Kumar Dubey, Poonam C. Singh, Khushboo Sharma and Tajamul Hussain. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Scientific Reports, Applied Biochemistry and Biotechnology, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Frontiers in Chemistry.
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.