John S. Tam
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 10
- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 4
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 3
- Epidemiology top 2%
- Influenza Virus Research Studies 20
- Respiratory viral infections research 17
- Pneumonia and Respiratory Infections 5
- Health top 5%
- Vaccine Coverage and Hesitancy 4
- Agronomy and Crop Science top 5%
- Co-authors
- Marc GirardPaul K.S. ChanMarie Paule KiényOlga AssossouKa‐Fai ToJoseph J.�Y. SungJo L.K. CheungThomas A. Buckley
- Journals
- Annals of Internal Medicine (1 paper)International Journal of Molecular Sciences (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- Hong KongChinaSwitzerland
In The Last Decade
John S. Tam
37 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Infectious Diseases 1.0k
- Modeling and Simulation 217
- Epidemiology 1.2k
- Health 181
- Agronomy and Crop Science 143
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2020 | 85 | |
| 3 | 2019 | 33 | |
| 4 | 2017 | 45 | |
| 5 | 2015 | 47 | |
| 6 | 2013 | 17 | |
| 7 | 2013 | 29 | |
| 8 | 2013 | 42 | |
| 9 | 2013 | 52 | |
| 10 | 2012 | 38 | |
| 11 | 2012 | 8 | |
| 12 | 2012 | 22 | |
| 13 | 2010 | 5 | |
| 14 | The 2009 A (H1N1) influenza virus pandemic: A reviewbreakdown → | 2010 | 369 |
| 15 | 2004 | 80 | |
| 16 | 1999 | 90 | |
| 17 | 1993 | 11 | |
| 18 | 1991 | 8 | |
| 19 | 1989 | 9 | |
| 20 | 1989 | 34 |
About John S. Tam
John S. Tam is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), Respiratory viral infections research (17 papers), Viral gastroenteritis research and epidemiology (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Pneumonia and Respiratory Infections (5 papers), COVID-19 Clinical Research Studies (4 papers), Vaccine Coverage and Hesitancy (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Modeling and Simulation (217 citations) and Epidemiology (1.2k citations). John S. Tam has collaborated with scholars based in Hong Kong, China and Switzerland. Frequent co-authors include Marc Girard, Paul K.S. Chan, Marie Paule Kiény, Olga Assossou, Ka‐Fai To, Joseph J.�Y. Sung, Jo L.K. Cheung, Thomas A. Buckley, Dominic N.C. Tsang and Rita Yn Tz Sung. Their work appears in journals such as Annals of Internal Medicine, International Journal of Molecular Sciences and Journal of Clinical Microbiology.
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.