Rajan Chaudhari
Impact in
-
- Computational Drug Discovery Methods
Papers in
-
- Receptor Mechanisms and Signaling 4
- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 1
- Cancer therapeutics and mechanisms 1
-
- Computational Drug Discovery Methods 6
- Co-authors
- Shuxing Zhang (9 shared papers)Beibei Huang (3 shared papers)Zhi Tan (2 shared papers)Zhijun Li (3 shared papers)Anil K. Sood (3 shared papers)David E. Volk (1 shared paper)Vittorio de Franciscis (1 shared paper)Steven W. Millward (2 shared papers)
- Journals
- Journal of the American Chemical Society (2 papers)Expert Opinion on Drug Discovery (2 papers)Scientific Reports (1 paper)Chemical Science (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Rajan Chaudhari
12 papers receiving 323 citations
Peers
Comparison fields: 5 of 84
- Computational Theory and Mathematics 94
- Health Informatics 5
- Molecular Biology 229
- Pharmacology 21
- Pharmacology 33
Countries citing papers authored by Rajan Chaudhari
This map shows the geographic impact of Rajan Chaudhari'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 Rajan Chaudhari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajan Chaudhari more than expected).
Fields of papers citing papers by Rajan Chaudhari
This network shows the impact of papers produced by Rajan Chaudhari. 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 Rajan Chaudhari. The network helps show where Rajan Chaudhari may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajan Chaudhari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | 2021 | 61 | |
| 3 | 2020 | 55 | |
| 4 | 2015 | 34 | |
| 5 | 2021 | 27 | |
| 6 | 2018 | 19 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 13 | |
| 9 | 2020 | 11 | |
| 10 | 2014 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2020 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Rajan Chaudhari
Rajan Chaudhari is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 329 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (2 papers), RNA Interference and Gene Delivery (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cancer Treatment and Pharmacology (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (94 citations), Health Informatics (5 citations), Molecular Biology (229 citations), Pharmacology (21 citations) and Pharmacology (33 citations). Rajan Chaudhari has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shuxing Zhang, Beibei Huang, Zhi Tan, Zhijun Li, Anil K. Sood, David E. Volk, Vittorio de Franciscis, Steven W. Millward, Cristina Ivan and Efigenia Montalvo‐González. Their work appears in journals such as Journal of the American Chemical Society, Expert Opinion on Drug Discovery, Scientific Reports, Chemical Science 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.