John S. Tam
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 51
- Hepatitis B Virus Studies 27
- Respiratory viral infections research 21
- Liver Disease Diagnosis and Treatment 15
- Influenza Virus Research Studies 8
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- Viral gastroenteritis research and epidemiology 23
- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Paul K.S. Chan (20 shared papers)Kar Neng Lai (13 shared papers)Joseph J.�Y. Sung (8 shared papers)Nancy W.Y. Leung (7 shared papers)Ruth Rappaport (7 shared papers)Fernand Mac–Moune Lai (8 shared papers)Philip J. Johnson (4 shared papers)Winnie Yeo (4 shared papers)
- Journals
- Journal of Clinical Microbiology (8 papers)Journal of Medical Virology (6 papers)The Journal of Infectious Diseases (4 papers)Epidemiology and Infection (3 papers)Cancer (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
John S. Tam
77 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 125
- Hepatology 1.6k
- Infectious Diseases 1.5k
- Epidemiology 2.7k
- Modeling and Simulation 150
- Obstetrics and Gynecology 168
Countries citing papers authored by John S. Tam
This map shows the geographic impact of John S. Tam'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 John S. Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Tam more than expected).
Fields of papers citing papers by John S. Tam
This network shows the impact of papers produced by John S. Tam. 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 John S. Tam. The network helps show where John S. Tam may publish in the future.
Co-authors
The 25 scholars most cited alongside John S. Tam, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 496 | |
| 2 | 2004 | 426 | |
| 3 | 2008 | 217 | |
| 4 | 2005 | 204 | |
| 5 | 1991 | 186 | |
| 6 | 2000 | 179 | |
| 7 | 2003 | 155 | |
| 8 | 2003 | 149 | |
| 9 | 2007 | 134 | |
| 10 | 2002 | 123 | |
| 11 | 2004 | 85 | |
| 12 | 2002 | 76 | |
| 13 | 2000 | 74 | |
| 14 | 2002 | 73 | |
| 15 | 1996 | 71 | |
| 16 | 2004 | 69 | |
| 17 | 2002 | 68 | |
| 18 | 2012 | 60 | |
| 19 | 1992 | 59 | |
| 20 | 1999 | 58 |
About John S. Tam
John S. Tam is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Animal Science and Zoology and Surgery, having authored 78 papers that have together received 4.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (28 papers), Hepatitis B Virus Studies (27 papers), Viral gastroenteritis research and epidemiology (23 papers), Respiratory viral infections research (21 papers), Liver Disease Diagnosis and Treatment (15 papers), Influenza Virus Research Studies (8 papers), Hepatitis Viruses Studies and Epidemiology (7 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Hepatology (1.6k citations), Infectious Diseases (1.5k citations), Epidemiology (2.7k citations), Modeling and Simulation (150 citations) and Obstetrics and Gynecology (168 citations). John S. Tam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Paul K.S. Chan, Kar Neng Lai, Joseph J.�Y. Sung, Nancy W.Y. Leung, Ruth Rappaport, Fernand Mac–Moune Lai, Philip J. Johnson, Winnie Yeo, Joyce Steinberg and Sheng Zhong. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Virology, The Journal of Infectious Diseases, Epidemiology and Infection and Cancer.
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.