John Tam
Impact in
- Infectious Diseases top 10%
- Clostridium difficile and Clostridium perfringens research
- SARS-CoV-2 and COVID-19 Research
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- Bacterial biofilms and quorum sensing
- RNA and protein synthesis mechanisms
- Gut microbiota and health
Papers in
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- Clostridium difficile and Clostridium perfringens research 10
- SARS-CoV-2 and COVID-19 Research 1
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- RNA and protein synthesis mechanisms 4
- Bacterial biofilms and quorum sensing 2
- Co-authors
- Roman A. Melnyk (14 shared papers)Greg L. Beilhartz (4 shared papers)Mark J. Lee (1 shared paper)Matthew J. Pestrak (1 shared paper)P. Lynne Howell (2 shared papers)Perrin Baker (2 shared papers)Anick Auger (3 shared papers)Donald C. Sheppard (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Biochemistry (2 papers)Nature Communications (1 paper)Trends in Microbiology (1 paper)Science Advances (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
John Tam
19 papers receiving 657 citations
Peers
Comparison fields: 5 of 40
- Infectious Diseases 232
- Molecular Biology 242
- Molecular Medicine 5
- Biomaterials 8
- Cardiology and Cardiovascular Medicine 17
Countries citing papers authored by John Tam
This map shows the geographic impact of John 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 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 Tam more than expected).
Fields of papers citing papers by John Tam
This network shows the impact of papers produced by John 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 Tam. The network helps show where John Tam may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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 | 2016 | 244 | |
| 2 | 2020 | 62 | |
| 3 | 2015 | 61 | |
| 4 | 2014 | 59 | |
| 5 | 2017 | 53 | |
| 6 | 2018 | 47 | |
| 7 | 1994 | 32 | |
| 8 | 2009 | 23 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 13 | |
| 11 | 1992 | 11 | |
| 12 | 1991 | 10 | |
| 13 | 1989 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 1977 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 1 |
About John Tam
John Tam is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Organic Chemistry and Nuclear Energy and Engineering, having authored 19 papers that have together received 675 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (10 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial biofilms and quorum sensing (2 papers), Renin-Angiotensin System Studies (1 paper), Organic Chemistry Synthesis Methods (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (232 citations), Molecular Biology (242 citations), Molecular Medicine (5 citations), Biomaterials (8 citations) and Cardiology and Cardiovascular Medicine (17 citations). John Tam has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Roman A. Melnyk, Greg L. Beilhartz, Mark J. Lee, Matthew J. Pestrak, P. Lynne Howell, Perrin Baker, Anick Auger, Donald C. Sheppard, Matthew R. Parsek and Daniel J. Wozniak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry, Nature Communications, Trends in Microbiology and Science Advances.
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.