Ming Tan
Impact in
- Infectious Diseases top 0.1%
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 0.1%
- Animal Virus Infections Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 108
-
- Animal Virus Infections Studies 55
- Co-authors
- Xi Jiang (88 shared papers)Pengwei Huang (43 shared papers)Ming Xia (52 shared papers)Weiming Zhong (27 shared papers)Rashmi S. Hegde (4 shared papers)Jarek Meller (9 shared papers)Ardythe L. Morrow (4 shared papers)Tibor Farkas (5 shared papers)
- Journals
- Journal of Virology (19 papers)PLoS ONE (10 papers)Scientific Reports (8 papers)Vaccine (6 papers)Emerging Microbes & Infections (5 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ming Tan
126 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 106
- Infectious Diseases 4.8k
- Animal Science and Zoology 2.2k
- Cardiology and Cardiovascular Medicine 1.8k
- Hepatology 556
- Genetics 1.6k
Countries citing papers authored by Ming Tan
This map shows the geographic impact of Ming 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 Ming Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Tan more than expected).
Fields of papers citing papers by Ming Tan
This network shows the impact of papers produced by Ming 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 Ming Tan. The network helps show where Ming Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 332 | |
| 2 | 2007 | 305 | |
| 3 | 2005 | 252 | |
| 4 | 2001 | 243 | |
| 5 | 2012 | 205 | |
| 6 | 2004 | 198 | |
| 7 | 2005 | 186 | |
| 8 | 2010 | 167 | |
| 9 | 2003 | 153 | |
| 10 | 2012 | 150 | |
| 11 | 2008 | 134 | |
| 12 | 2011 | 130 | |
| 13 | 2008 | 129 | |
| 14 | 2010 | 128 | |
| 15 | 2014 | 126 | |
| 16 | 2008 | 100 | |
| 17 | 2009 | 98 | |
| 18 | 2007 | 95 | |
| 19 | 2011 | 91 | |
| 20 | 2004 | 76 |
About Ming Tan
Ming Tan is a scholar working on Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine, Genetics and Epidemiology, having authored 128 papers that have together received 5.9k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (108 papers), Animal Virus Infections Studies (55 papers), Viral Infections and Immunology Research (51 papers), Virus-based gene therapy research (37 papers), Respiratory viral infections research (14 papers), Hepatitis Viruses Studies and Epidemiology (13 papers), Influenza Virus Research Studies (7 papers) and Advanced Thermodynamic Systems and Engines (5 papers). The work is most often cited by research in Infectious Diseases (4.8k citations), Animal Science and Zoology (2.2k citations), Cardiology and Cardiovascular Medicine (1.8k citations), Hepatology (556 citations) and Genetics (1.6k citations). Ming Tan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xi Jiang, Pengwei Huang, Ming Xia, Weiming Zhong, Rashmi S. Hegde, Jarek Meller, Ardythe L. Morrow, Tibor Farkas, Leyi Wang and Chao Wei. Their work appears in journals such as Journal of Virology, PLoS ONE, Scientific Reports, Vaccine and Emerging Microbes & Infections.
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.