Nilkanth Patel

1.9k total citations · 1 hit paper
9 papers, 777 citations indexed

About

Nilkanth Patel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Nilkanth Patel has authored 9 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Computational Theory and Mathematics. Recurrent topics in Nilkanth Patel's work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (5 papers) and Chemical Synthesis and Analysis (4 papers). Nilkanth Patel is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (5 papers) and Chemical Synthesis and Analysis (4 papers). Nilkanth Patel collaborates with scholars based in United States, Belgium and Italy. Nilkanth Patel's co-authors include Vsevolod Katritch, Raymond C. Stevens, Gye Won Han, Vadim Cherezov, Bryan L. Roth, Kate L. White, Matthew T. Eddy, Kenneth A. Jacobson, Zhan‐Guo Gao and Hamiyet Ünal and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Nilkanth Patel

9 papers receiving 766 citations

Hit Papers

Synthon-based ligand discovery in virtual libraries of ov... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nilkanth Patel United States 8 620 284 230 96 64 9 777
Jeremy Shonberg Australia 14 825 1.3× 568 2.0× 153 0.7× 104 1.1× 30 0.5× 16 956
Krzysztof Rataj Poland 10 677 1.1× 255 0.9× 312 1.4× 114 1.2× 116 1.8× 15 870
Mayako Michino United States 18 1.1k 1.8× 564 2.0× 317 1.4× 145 1.5× 52 0.8× 32 1.4k
Giuseppe Deganutti United Kingdom 17 907 1.5× 458 1.6× 173 0.8× 78 0.8× 31 0.5× 49 1.1k
Bingfa Sun United States 10 1.3k 2.1× 615 2.2× 120 0.5× 165 1.7× 30 0.5× 11 1.5k
Jeffrey J. Liu United States 10 1.0k 1.6× 558 2.0× 101 0.4× 136 1.4× 58 0.9× 12 1.1k
B.G. Tehan United Kingdom 9 1.0k 1.6× 591 2.1× 176 0.8× 141 1.5× 26 0.4× 11 1.1k
Davide Sabbadin Italy 16 881 1.4× 178 0.6× 337 1.5× 29 0.3× 150 2.3× 22 1.1k
Andrei Zhukov United Kingdom 12 664 1.1× 258 0.9× 138 0.6× 215 2.2× 36 0.6× 15 775
Mauricio Esguerra Sweden 9 487 0.8× 164 0.6× 102 0.4× 57 0.6× 41 0.6× 12 563

Countries citing papers authored by Nilkanth Patel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nilkanth Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Nilkanth Patel. A scholar is included among the top collaborators of Nilkanth Patel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nilkanth Patel. Nilkanth Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Sadybekov, Arman A., Anastasiia Sadybekov, Yongfeng Liu, et al.. (2021). Synthon-based ligand discovery in virtual libraries of over 11 billion compounds. Nature. 601(7893). 452–459. 254 indexed citations breakdown →
2.
Patel, Nilkanth, Xi‐Ping Huang, Jessica M. Grandner, et al.. (2020). Structure-based discovery of potent and selective melatonin receptor agonists. eLife. 9. 25 indexed citations
3.
Yu, Jing, Véronique Blais, Nilkanth Patel, et al.. (2019). Elucidating the active δ-opioid receptor crystal structure with peptide and small-molecule agonists. Science Advances. 5(11). eaax9115–eaax9115. 86 indexed citations
4.
White, Kate L., Matthew T. Eddy, Zhan‐Guo Gao, et al.. (2018). Structural Connection between Activation Microswitch and Allosteric Sodium Site in GPCR Signaling. Structure. 26(2). 259–269.e5. 124 indexed citations
5.
Eddy, Matthew T., Zhan‐Guo Gao, Philip Z. Mannes, et al.. (2018). Extrinsic Tryptophans as NMR Probes of Allosteric Coupling in Membrane Proteins: Application to the A2A Adenosine Receptor. Journal of the American Chemical Society. 140(26). 8228–8235. 38 indexed citations
6.
Ishchenko, Andrii, Daniel Wacker, Mili Kapoor, et al.. (2017). Structural insights into the extracellular recognition of the human serotonin 2B receptor by an antibody. Proceedings of the National Academy of Sciences. 114(31). 8223–8228. 46 indexed citations
7.
Lee, Ming-Yue, Nilkanth Patel, Vsevolod Katritch, Raymond C. Stevens, & Vadim Cherezov. (2016). Structural Studies of the Human Kappa Opioid Receptor Active State Conformations. Biophysical Journal. 110(3). 38a–39a. 1 indexed citations
8.
Miller, Rebecca L., Aaron A. Thompson, Claudio Trapella, et al.. (2015). The Importance of Ligand-Receptor Conformational Pairs in Stabilization: Spotlight on the N/OFQ G Protein-Coupled Receptor. Structure. 23(12). 2291–2299. 63 indexed citations
9.
Zhang, Haitao, Hamiyet Ünal, Russell Desnoyer, et al.. (2015). Structural Basis for Ligand Recognition and Functional Selectivity at Angiotensin Receptor. Journal of Biological Chemistry. 290(49). 29127–29139. 140 indexed citations

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.

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