Chris Mok
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- interferon and immune responses
- Immune Response and Inflammation
Papers in
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- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 detection and testing 2
- Viral gastroenteritis research and epidemiology 1
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- interferon and immune responses 3
- Immune Response and Inflammation 3
- Co-authors
- Joseph Sriyal Malik Peiris (5 shared papers)Leo Lit Man Poon (5 shared papers)Sophie A. Valkenburg (4 shared papers)Alex W. H. Chin (3 shared papers)Chung Yan Cheung (1 shared paper)Anna H.Y. Law (1 shared paper)Owen TY Tsang (2 shared papers)Asmaa Hachim (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Signal Transduction and Targeted Therapy (1 paper)Nature Immunology (1 paper)Journal of Virology (1 paper)Virology (1 paper)
- Partner nations
- Hong KongFranceUnited States
In The Last Decade
Chris Mok
12 papers receiving 595 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 275
- Immunology 169
- Epidemiology 189
- Animal Science and Zoology 56
- Neurology 69
Countries citing papers authored by Chris Mok
This map shows the geographic impact of Chris Mok'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 Chris Mok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Mok more than expected).
Fields of papers citing papers by Chris Mok
This network shows the impact of papers produced by Chris Mok. 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 Chris Mok. The network helps show where Chris Mok may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Mok, 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 | 2020 | 177 | |
| 2 | 2005 | 127 | |
| 3 | 2023 | 72 | |
| 4 | 2020 | 54 | |
| 5 | 2014 | 51 | |
| 6 | 2017 | 36 | |
| 7 | 2022 | 23 | |
| 8 | 2021 | 21 | |
| 9 | 2014 | 20 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 |
About Chris Mok
Chris Mok is a scholar working on Infectious Diseases, Immunology, Epidemiology, Pharmacy and Molecular Biology, having authored 13 papers that have together received 612 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers), interferon and immune responses (3 papers), Immune Response and Inflammation (3 papers), SARS-CoV-2 detection and testing (2 papers), Gut microbiota and health (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (275 citations), Immunology (169 citations), Epidemiology (189 citations), Animal Science and Zoology (56 citations) and Neurology (69 citations). Chris Mok has collaborated with scholars based in Hong Kong, France and United States. Frequent co-authors include Joseph Sriyal Malik Peiris, Leo Lit Man Poon, Sophie A. Valkenburg, Alex W. H. Chin, Chung Yan Cheung, Anna H.Y. Law, Owen TY Tsang, Asmaa Hachim, Niloufar Kavian and Yiu Cheong Yeung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Signal Transduction and Targeted Therapy, Nature Immunology, Journal of Virology and Virology.
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.