Bin Tan

486 total citations · 1 hit paper
13 papers, 310 citations indexed

About

Bin Tan is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Bin Tan has authored 13 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Bin Tan's work include SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Immunology Research (4 papers) and Computational Drug Discovery Methods (4 papers). Bin Tan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Immunology Research (4 papers) and Computational Drug Discovery Methods (4 papers). Bin Tan collaborates with scholars based in United States, China and Greece. Bin Tan's co-authors include Jun Wang, Haozhou Tan, Yanmei Hu, Prakash D. Jadhav, Kan Li, Xufang Deng, Eddy Arnold, Francesc X. Ruiz, Wenqing Chen and Yuyang Jiang and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Bin Tan

12 papers receiving 304 citations

Hit Papers

Design of a SARS-CoV-2 papain-like protease inhibitor wit... 2024 2026 2025 2024 10 20 30 40

Peers

Bin Tan
Mackenzie E. Chapman United States
Erol C. Vatansever United States
Yuan Chu China
Tika R. Malla United Kingdom
Zhengnan Shen United States
Mackenzie E. Chapman United States
Bin Tan
Citations per year, relative to Bin Tan Bin Tan (= 1×) peers Mackenzie E. Chapman

Countries citing papers authored by Bin Tan

Since Specialization
Citations

This map shows the geographic impact of Bin Tan'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 Bin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Tan more than expected).

Fields of papers citing papers by Bin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin Tan. 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 Bin Tan. The network helps show where Bin Tan may publish in the future.

Co-authorship network of co-authors of Bin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Tan. A scholar is included among the top collaborators of Bin Tan 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 Bin Tan. Bin Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Li, Kan, Yanmei Hu, Haozhou Tan, et al.. (2025). A rationally designed 2C inhibitor prevents enterovirus D68-infected mice from developing paralysis. Nature Communications. 16(1). 5987–5987.
2.
Jadhav, Prakash D., Bin Tan, Haozhou Tan, et al.. (2025). Design of quinoline SARS-CoV-2 papain-like protease inhibitors as oral antiviral drug candidates. Nature Communications. 16(1). 1604–1604. 8 indexed citations
3.
Tan, Bin, Prakash D. Jadhav, Haozhou Tan, et al.. (2024). Design of a SARS-CoV-2 papain-like protease inhibitor with antiviral efficacy in a mouse model. Science. 383(6690). 1434–1440. 43 indexed citations breakdown →
4.
Tan, Bin, Prakash D. Jadhav, Haozhou Tan, et al.. (2024). Structure-Based Design of Covalent SARS-CoV-2 Papain-like Protease Inhibitors. Journal of Medicinal Chemistry. 67(22). 20399–20420. 2 indexed citations
5.
Tan, Bin, M. Sacco, Haozhou Tan, et al.. (2023). Exploring diverse reactive warheads for the design of SARS-CoV-2 main protease inhibitors. European Journal of Medicinal Chemistry. 259. 115667–115667. 18 indexed citations
6.
Jadhav, Prakash D., Bo Huang, J. Osipiuk, et al.. (2023). Structure-based design of SARS-CoV-2 papain-like protease inhibitors. European Journal of Medicinal Chemistry. 264. 116011–116011. 12 indexed citations
7.
Tan, Bin, Chang Liu, Kan Li, et al.. (2023). Structure-Based Lead Optimization of Enterovirus D68 2A Protease Inhibitors. Journal of Medicinal Chemistry. 66(21). 14544–14563. 4 indexed citations
8.
Zhang, Yan, Yuye Chen, Bin Tan, et al.. (2022). Total Syntheses of Calyciphylline A-Type Alkaloids (−)-10-Deoxydaphnipaxianine A, (+)-Daphlongamine E and (+)-Calyciphylline R via Late-Stage Divinyl Carbinol Rearrangements. Journal of the American Chemical Society. 144(35). 16042–16051. 37 indexed citations
9.
Tan, Haozhou, Yanmei Hu, Prakash D. Jadhav, Bin Tan, & Jun Wang. (2022). Progress and Challenges in Targeting the SARS-CoV-2 Papain-like Protease. Journal of Medicinal Chemistry. 65(11). 7561–7580. 99 indexed citations
10.
Gómez, Kimberly, Cheng Tang, Bin Tan, et al.. (2022). Stereospecific Effects of Benzimidazolonepiperidine Compounds on T-Type Ca2+Channels and Pain. ACS Chemical Neuroscience. 13(13). 2035–2047. 3 indexed citations
11.
Tan, Bin, et al.. (2022). SARS-CoV-2 Main Protease Drug Design, Assay Development, and Drug Resistance Studies. Accounts of Chemical Research. 56(2). 157–168. 65 indexed citations
13.
Ren, Hongqiang, et al.. (2008). The disposition and pharmacokinetics of Dioscorea nipponica Makino extract in rats. AFRICAN JOURNAL OF BIOTECHNOLOGY. 7(22). 4015–4018. 5 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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