Disha Patel
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
Papers in
-
- Biochemical and Molecular Research 5
- RNA and protein synthesis mechanisms 3
-
- HIV/AIDS drug development and treatment 5
- 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)J. Reddy Challa (1 shared paper)Daniel G. Kuroda (1 shared paper)
- Journals
- ACS Chemical Biology (2 papers)Journal of Medicinal Chemistry (2 papers)Nature Chemistry (1 paper)Progress in Biophysics and Molecular Biology (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Disha Patel
27 papers receiving 598 citations
Peers
Comparison fields: 5 of 87
- Virology 122
- Infectious Diseases 165
- Computational Theory and Mathematics 97
- Epidemiology 176
- Molecular Biology 348
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 87 | |
| 2 | 2013 | 75 | |
| 3 | 2014 | 75 | |
| 4 | 2013 | 73 | |
| 5 | 2014 | 52 | |
| 6 | 2013 | 48 | |
| 7 | 2013 | 32 | |
| 8 | 2012 | 31 | |
| 9 | 2015 | 23 | |
| 10 | 2011 | 20 | |
| 11 | 2016 | 18 | |
| 12 | 2010 | 15 | |
| 13 | 2024 | 13 | |
| 14 | 2005 | 13 | |
| 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 Molecular Biology, Infectious Diseases, Epidemiology, Virology and Organic Chemistry, having authored 31 papers that have together received 609 indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Biochemical and Molecular Research (5 papers), HIV/AIDS drug development and treatment (5 papers), Computational Drug Discovery Methods (3 papers), Influenza Virus Research Studies (3 papers), Blood groups and transfusion (3 papers), RNA and protein synthesis mechanisms (3 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Virology (122 citations), Infectious Diseases (165 citations), Computational Theory and Mathematics (97 citations), Epidemiology (176 citations) and Molecular Biology (348 citations). Disha Patel has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Eddy Arnold, Joseph D. Bauman, Kalyan Das, Edmond J. LaVoie, Ramachandran Vijayan, Ajit K. Parhi, J. Reddy Challa, Daniel G. Kuroda, Robin M. Hochstrasser and Thomas Troxler. Their work appears in journals such as ACS Chemical Biology, Journal of Medicinal Chemistry, Nature Chemistry, Progress in Biophysics and Molecular Biology and Analytical 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.