Dharmeshkumar Patel
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Protein Structure and Dynamics 3
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- HIV/AIDS drug development and treatment 6
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Eri Hashino (2 shared papers)Andrei I. Molosh (1 shared paper)Andrew M. Mikosz (1 shared paper)Karl R. Koehler (1 shared paper)Serdar Kuyucak (3 shared papers)Raymond F. Schinazi (13 shared papers)Jagdish Suresh Patel (4 shared papers)Franck Amblard (10 shared papers)
- Journals
- European Journal of Medicinal Chemistry (3 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Medicinal Chemistry Research (2 papers)Biochemistry (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Dharmeshkumar Patel
27 papers receiving 544 citations
Peers
Comparison fields: 5 of 97
- Sensory Systems 164
- Virology 25
- Molecular Biology 317
- Developmental Neuroscience 17
- Hepatology 31
Countries citing papers authored by Dharmeshkumar Patel
This map shows the geographic impact of Dharmeshkumar Patel'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 Dharmeshkumar Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dharmeshkumar Patel more than expected).
Fields of papers citing papers by Dharmeshkumar Patel
This network shows the impact of papers produced by Dharmeshkumar Patel. 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 Dharmeshkumar Patel. The network helps show where Dharmeshkumar Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Dharmeshkumar Patel, 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 | 2013 | 310 | |
| 2 | 2022 | 31 | |
| 3 | 2021 | 21 | |
| 4 | 2016 | 18 | |
| 5 | 2022 | 18 | |
| 6 | 2012 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2008 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2013 | 6 | |
| 17 | 2009 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Dharmeshkumar Patel
Dharmeshkumar Patel is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Hepatology and Virology, having authored 29 papers that have together received 549 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), HIV/AIDS drug development and treatment (6 papers), HIV Research and Treatment (5 papers), Hepatitis B Virus Studies (4 papers), Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (3 papers), interferon and immune responses (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Sensory Systems (164 citations), Virology (25 citations), Molecular Biology (317 citations), Developmental Neuroscience (17 citations) and Hepatology (31 citations). Dharmeshkumar Patel has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Eri Hashino, Andrei I. Molosh, Andrew M. Mikosz, Karl R. Koehler, Serdar Kuyucak, Raymond F. Schinazi, Jagdish Suresh Patel, Franck Amblard, F. Marty Ytreberg and Maryam Ehteshami. Their work appears in journals such as European Journal of Medicinal Chemistry, Frontiers in Cellular and Infection Microbiology, Medicinal Chemistry Research, Biochemistry and PLoS ONE.
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.