Rupesh Agarwal
Impact in
- Ophthalmology top 10%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 4
- Glycosylation and Glycoproteins Research 2
- Receptor Mechanisms and Signaling 2
- Biochemical and Structural Characterization 2
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- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- Jeremy C. Smith (14 shared papers)Pearse A. Keane (1 shared paper)Dawn A. Sim (1 shared paper)Srini Goverdhan (1 shared paper)Gabriella De Salvo (1 shared paper)Adnan Tufail (1 shared paper)Micholas Dean Smith (4 shared papers)Subhadra Jalali (1 shared paper)
- Journals
- Molecular Informatics (1 paper)Journal of Chemical Information and Modeling (1 paper)Nature Communications (1 paper)Vaccine (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Rupesh Agarwal
22 papers receiving 221 citations
Peers
Comparison fields: 5 of 82
- Ophthalmology 40
- Computational Theory and Mathematics 44
- Infectious Diseases 29
- Radiology, Nuclear Medicine and Imaging 36
- Molecular Biology 99
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 41 | |
| 2 | 2022 | 41 | |
| 3 | 2022 | 18 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 10 | |
| 6 | 2009 | 10 | |
| 7 | 2021 | 10 | |
| 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 | 10 |
| 9 | 2022 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2015 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 1 |
About Rupesh Agarwal
Rupesh Agarwal is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Ophthalmology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 225 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (4 papers), Streptococcal Infections and Treatments (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Glycosylation and Glycoproteins Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Neonatal and Maternal Infections (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Ophthalmology (40 citations), Computational Theory and Mathematics (44 citations), Infectious Diseases (29 citations), Radiology, Nuclear Medicine and Imaging (36 citations) and Molecular Biology (99 citations). Rupesh Agarwal has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Jeremy C. Smith, Pearse A. Keane, Dawn A. Sim, Srini Goverdhan, Gabriella De Salvo, Adnan Tufail, Micholas Dean Smith, Subhadra Jalali, Raja Narayanan and Manuel Castro. Their work appears in journals such as Molecular Informatics, Journal of Chemical Information and Modeling, Nature Communications, Vaccine and Biochemical Journal.
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.