Johnny Tam
Impact in
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- Parvovirus B19 Infection Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
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- Viral-associated cancers and disorders
- Polyomavirus and related diseases
Papers in
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- Parvovirus B19 Infection Studies 3
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- Prion Diseases and Protein Misfolding 4
- Co-authors
- Mun Hon Ng (2 shared papers)WH Seto (1 shared paper)Kwok Hung Chan (1 shared paper)Malik Peiris (1 shared paper)Tai Fai Fok (2 shared papers)Sing-Fai Leung (1 shared paper)Dolly P. Huang (1 shared paper)ST Cheung (1 shared paper)
- Journals
- Journal of Neurology (3 papers)Journal of Hospital Infection (3 papers)npj Digital Medicine (1 paper)Water Science & Technology (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Johnny Tam
17 papers receiving 253 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 81
- Oncology 111
- Modeling and Simulation 16
- Pathology and Forensic Medicine 43
- Epidemiology 61
Countries citing papers authored by Johnny Tam
This map shows the geographic impact of Johnny 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 Johnny Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnny Tam more than expected).
Fields of papers citing papers by Johnny Tam
This network shows the impact of papers produced by Johnny 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 Johnny Tam. The network helps show where Johnny Tam may publish in the future.
Co-authors
The 25 scholars most cited alongside Johnny 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 | 1998 | 64 | |
| 2 | 2001 | 59 | |
| 3 | 2004 | 34 | |
| 4 | 1989 | 23 | |
| 5 | 1999 | 15 | |
| 6 | 1995 | 13 | |
| 7 | 2000 | 13 | |
| 8 | 1996 | 11 | |
| 9 | 2022 | 8 | |
| 10 | Nasopharyngeal carcinoma and Epstein-Barr virus--associated serologic markers. | 1990 | 7 |
| 11 | 2023 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2014 | 1 | |
| 17 | Viral, mycoplasmal and chlamydial lower respiratory tract infections in Hong Kong: cost and diagnostic value of serology. | 1994 | 1 |
About Johnny Tam
Johnny Tam is a scholar working on Infectious Diseases, Molecular Biology, Oncology, Epidemiology and Physiology, having authored 17 papers that have together received 265 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (4 papers), Parvovirus B19 Infection Studies (3 papers), Viral-associated cancers and disorders (3 papers), Dermatological and COVID-19 studies (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper), Head and Neck Cancer Studies (1 paper), Dysphagia Assessment and Management (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Infectious Diseases (81 citations), Oncology (111 citations), Modeling and Simulation (16 citations), Pathology and Forensic Medicine (43 citations) and Epidemiology (61 citations). Johnny Tam has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Mun Hon Ng, WH Seto, Kwok Hung Chan, Malik Peiris, Tai Fai Fok, Sing-Fai Leung, Dolly P. Huang, ST Cheung, Philip J. Johnson and Kwok Wai Lo. Their work appears in journals such as Journal of Neurology, Journal of Hospital Infection, npj Digital Medicine, Water Science & Technology and Clinical Infectious Diseases.
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.