Disha Patel
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
Papers in
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- HIV/AIDS drug development and treatment 5
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- Biochemical and Molecular Research 4
- RNA and protein synthesis mechanisms 3
- Co-authors
- Eddy Arnold (13 shared papers)Joseph D. Bauman (11 shared papers)Kalyan Das (7 shared papers)Edmond J. LaVoie (4 shared papers)Ramachandran Vijayan (4 shared papers)Ajit K Parhi (3 shared papers)Robin M. Hochstrasser (1 shared paper)Thomas Troxler (1 shared paper)
- Journals
- ACS Chemical Biology (2 papers)Journal of Medicinal Chemistry (2 papers)Nature Communications (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Progress in Biophysics and Molecular Biology (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Disha Patel
30 papers receiving 624 citations
Peers
Comparison fields: 5 of 91
- Virology 119
- Infectious Diseases 167
- Computational Theory and Mathematics 100
- Epidemiology 172
- Molecular Biology 342
Countries citing papers authored by Disha Patel
This map shows the geographic impact of Disha 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 Disha Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Disha Patel more than expected).
Fields of papers citing papers by Disha Patel
This network shows the impact of papers produced by Disha 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 Disha Patel. The network helps show where Disha Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Disha 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 88 | |
| 2 | 2014 | 82 | |
| 3 | 2013 | 76 | |
| 4 | 2013 | 74 | |
| 5 | 2014 | 52 | |
| 6 | 2013 | 48 | |
| 7 | 2013 | 32 | |
| 8 | 2012 | 31 | |
| 9 | 2015 | 23 | |
| 10 | 2011 | 21 | |
| 11 | 2016 | 19 | |
| 12 | 2024 | 19 | |
| 13 | 2010 | 15 | |
| 14 | 2005 | 14 | |
| 15 | 2015 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2015 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2019 | 3 |
About Disha Patel
Disha Patel is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Organic Chemistry and Virology, having authored 35 papers that have together received 633 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (5 papers), Biochemical and Molecular Research (4 papers), HIV Research and Treatment (4 papers), Click Chemistry and Applications (3 papers), Blood groups and transfusion (3 papers), Computational Drug Discovery Methods (3 papers), Influenza Virus Research Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Virology (119 citations), Infectious Diseases (167 citations), Computational Theory and Mathematics (100 citations), Epidemiology (172 citations) and Molecular Biology (342 citations). Disha Patel has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Eddy Arnold, Joseph D. Bauman, Kalyan Das, Edmond J. LaVoie, Ramachandran Vijayan, Ajit K Parhi, Robin M. Hochstrasser, Thomas Troxler, J. Reddy Challa and Daniel G. Kuroda. Their work appears in journals such as ACS Chemical Biology, Journal of Medicinal Chemistry, Nature Communications, Bioorganic & Medicinal Chemistry Letters and Progress in Biophysics and Molecular Biology.
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.