Rupesh Agarwal
Impact in
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- Computational Drug Discovery Methods
- Ophthalmology top 10%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
Papers in
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- Retinal Diseases and Treatments 3
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- Computational Drug Discovery Methods 5
- Co-authors
- Jeremy C. Smith (14 shared papers)Dawn A. Sim (1 shared paper)Adnan Tufail (1 shared paper)Gabriella De Salvo (1 shared paper)Srini Goverdhan (1 shared paper)Pearse Andrew Keane (1 shared paper)Jerome Y. Baudry (5 shared papers)Ada Sedova (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Journal of Chemical Theory and Computation (1 paper)Journal of Medical Microbiology (1 paper)Biochemical Journal (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Rupesh Agarwal
24 papers receiving 449 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 165
- Ophthalmology 48
- Infectious Diseases 58
- Molecular Biology 213
- Toxicology 6
Countries citing papers authored by Rupesh Agarwal
This map shows the geographic impact of Rupesh Agarwal'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 Rupesh Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupesh Agarwal more than expected).
Fields of papers citing papers by Rupesh Agarwal
This network shows the impact of papers produced by Rupesh Agarwal. 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 Rupesh Agarwal. The network helps show where Rupesh Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Rupesh Agarwal, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 156 | |
| 2 | 2022 | 48 | |
| 3 | 2020 | 43 | |
| 4 | 2015 | 41 | |
| 5 | 2020 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2023 | 12 | |
| 8 | Evaluating the Effects of Canagliflozin on Cardiovascular and Renal Events in Patients with Type 2 Diabetes and Chronic Kidney Disease According to Baseline HbA1c, Including Those with HbA1c <7%: Results From the CREDENCE Trial | 2019 | 11 |
| 9 | 2022 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2009 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2020 | 3 |
About Rupesh Agarwal
Rupesh Agarwal is a scholar working on Ophthalmology, Computational Theory and Mathematics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 26 papers that have together received 454 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers), Streptococcal Infections and Treatments (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Retinal Diseases and Treatments (3 papers), Glycosylation and Glycoproteins Research (2 papers), Neonatal and Maternal Infections (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Computational Theory and Mathematics (165 citations), Ophthalmology (48 citations), Infectious Diseases (58 citations), Molecular Biology (213 citations) and Toxicology (6 citations). Rupesh Agarwal has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Jeremy C. Smith, Dawn A. Sim, Adnan Tufail, Gabriella De Salvo, Srini Goverdhan, Pearse Andrew Keane, Jerome Y. Baudry, Ada Sedova, Diogo Santos‐Martins and Andreas Koch. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, Journal of Medical Microbiology, Biochemical Journal and Nature Communications.
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.