Bin Tan
Impact in
-
- Computational Drug Discovery Methods
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- Viral gastroenteritis research and epidemiology 2
-
- RNA and protein synthesis mechanisms 2
- RNA Interference and Gene Delivery 2
- Ion channel regulation and function 1
- Co-authors
- Jun Wang (10 shared papers)Haozhou Tan (9 shared papers)Yanmei Hu (3 shared papers)Prakash D. Jadhav (6 shared papers)Kan Li (6 shared papers)Xufang Deng (4 shared papers)Francesc X. Ruiz (3 shared papers)Eddy Arnold (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)European Journal of Medicinal Chemistry (2 papers)Nature Communications (2 papers)Journal of the American Chemical Society (1 paper)ACS Chemical Neuroscience (1 paper)
- Partner nations
- United StatesChinaGreece
In The Last Decade
Bin Tan
12 papers receiving 304 citations
Bin Tan's Hit Papers
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 136
- Infectious Diseases 155
- Organic Chemistry 97
- Molecular Biology 110
- Pharmacology 11
Countries citing papers authored by Bin Tan
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
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-authors
The 25 scholars most cited alongside Bin Tan, 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 | 2022 | 99 | |
| 2 | 2022 | 65 | |
| 3 | Design of a SARS-CoV-2 papain-like protease inhibitor with antiviral efficacy in a mouse model Hit paper breakdown → | 2024 | 43 |
| 4 | 2022 | 37 | |
| 5 | 2023 | 18 | |
| 6 | 2020 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2025 | 8 | |
| 9 | 2008 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 0 |
About Bin Tan
Bin Tan is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Organic Chemistry, having authored 13 papers that have together received 310 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Computational Drug Discovery Methods (4 papers), Viral Infections and Immunology Research (4 papers), RNA and protein synthesis mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Synthetic Organic Chemistry Methods (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Infectious Diseases (155 citations), Organic Chemistry (97 citations), Molecular Biology (110 citations) and Pharmacology (11 citations). Bin Tan has collaborated with scholars based in United States, China and Greece. Frequent co-authors include Jun Wang, Haozhou Tan, Yanmei Hu, Prakash D. Jadhav, Kan Li, Xufang Deng, Francesc X. Ruiz, Eddy Arnold, Chengqian Zhang and Yan Zhang. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Nature Communications, Journal of the American Chemical Society and ACS Chemical Neuroscience.
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.