Nilkanth Patel
Impact in
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- Neuropeptides and Animal Physiology
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- Computational Drug Discovery Methods
Papers in
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- Receptor Mechanisms and Signaling 8
- Chemical Synthesis and Analysis 4
- Pharmacological Receptor Mechanisms and Effects 2
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- Neuropeptides and Animal Physiology 5
- Co-authors
- Vsevolod Katritch (9 shared papers)Raymond C. Stevens (7 shared papers)Gye Won Han (5 shared papers)Vadim Cherezov (5 shared papers)Bryan L. Roth (3 shared papers)Kenneth A. Jacobson (2 shared papers)Matthew T. Eddy (2 shared papers)Kate L. White (2 shared papers)
- Journals
- Structure (2 papers)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Nilkanth Patel
9 papers receiving 814 citations
Nilkanth Patel's Hit Papers
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 295
- Computational Theory and Mathematics 242
- Physiology 45
- Molecular Biology 642
- Radiology, Nuclear Medicine and Imaging 99
Countries citing papers authored by Nilkanth Patel
This map shows the geographic impact of Nilkanth 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 Nilkanth Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilkanth Patel more than expected).
Fields of papers citing papers by Nilkanth Patel
This network shows the impact of papers produced by Nilkanth 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 Nilkanth Patel. The network helps show where Nilkanth Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Nilkanth 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
| # | Work | ||
|---|---|---|---|
| 1 | Synthon-based ligand discovery in virtual libraries of over 11 billion compounds Hit paper breakdown → | 2021 | 275 |
| 2 | 2015 | 150 | |
| 3 | 2018 | 128 | |
| 4 | 2019 | 91 | |
| 5 | 2015 | 65 | |
| 6 | 2017 | 51 | |
| 7 | 2018 | 40 | |
| 8 | 2020 | 27 | |
| 9 | 2016 | 1 |
About Nilkanth Patel
Nilkanth Patel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Endocrine and Autonomic Systems and Pharmacology, having authored 9 papers that have together received 828 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (5 papers), Chemical Synthesis and Analysis (4 papers), Computational Drug Discovery Methods (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Circadian rhythm and melatonin (1 paper) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (295 citations), Computational Theory and Mathematics (242 citations), Physiology (45 citations), Molecular Biology (642 citations) and Radiology, Nuclear Medicine and Imaging (99 citations). Nilkanth Patel has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Vsevolod Katritch, Raymond C. Stevens, Gye Won Han, Vadim Cherezov, Bryan L. Roth, Kenneth A. Jacobson, Matthew T. Eddy, Kate L. White, Zhan‐Guo Gao and Xi‐Ping Huang. Their work appears in journals such as Structure, Nature, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Biophysical 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.