Bing Tan
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Xing‐Lou Yang (7 shared papers)Zheng‐Li Shi (7 shared papers)Cheng Peng (5 shared papers)Aleksei A. Chmura (2 shared papers)Peter Daszak (2 shared papers)Wei Zhang (2 shared papers)Ning Wang (2 shared papers)Jonathan H. Epstein (1 shared paper)
- Journals
- Journal of General Virology (3 papers)Journal of Clinical Oncology (2 papers)JNCI Journal of the National Cancer Institute (1 paper)Scientific Reports (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Bing Tan
53 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Infectious Diseases 1.1k
- Animal Science and Zoology 394
- Modeling and Simulation 145
- Virology 53
- Oncology 255
Countries citing papers authored by Bing Tan
This map shows the geographic impact of Bing 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 Bing Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Tan more than expected).
Fields of papers citing papers by Bing Tan
This network shows the impact of papers produced by Bing 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 Bing Tan. The network helps show where Bing Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing 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
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Isolation and characterization of a bat SARS-like coronavirus that uses the ACE2 receptor Hit paper breakdown → | 2013 | 1216 |
| 2 | 2001 | 165 | |
| 3 | 1990 | 69 | |
| 4 | 2016 | 44 | |
| 5 | 2014 | 42 | |
| 6 | 2014 | 42 | |
| 7 | 2015 | 40 | |
| 8 | 2009 | 37 | |
| 9 | 2006 | 31 | |
| 10 | 2008 | 26 | |
| 11 | 2017 | 21 | |
| 12 | 2016 | 21 | |
| 13 | 2004 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2005 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2015 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2000 | 12 |
About Bing Tan
Bing Tan is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Head and Neck Cancer Studies (4 papers), Virus-based gene therapy research (4 papers), Cholesterol and Lipid Metabolism (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Photodynamic Therapy Research Studies (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Animal Science and Zoology (394 citations), Modeling and Simulation (145 citations), Virology (53 citations) and Oncology (255 citations). Bing Tan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xing‐Lou Yang, Zheng‐Li Shi, Cheng Peng, Aleksei A. Chmura, Peter Daszak, Wei Zhang, Ning Wang, Jonathan H. Epstein, Jonna A. K. Mazet and Shuyi Zhang. Their work appears in journals such as Journal of General Virology, Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute, Scientific Reports and Chemistry of Materials.
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.