Kwok Hung Chan
- Modeling and Simulation top 0.1%
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research 30
- Viral gastroenteritis research and epidemiology 29
- SARS-CoV-2 detection and testing 14
- Epidemiology top 0.5%
- Respiratory viral infections research 47
- Influenza Virus Research Studies 43
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 14
- Oncology top 2%
- Viral-associated cancers and disorders 22
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- Animal Disease Management and Epidemiology 14
- Co-authors
- Malik PeirisKwok‐Yung YuenLeo L. M. PoonYi GuanWH SetoVincent Chi‐Chung ChengGM LeungJohn M. Nicholls
- Journals
- New England Journal of Medicine (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Lancet (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Kwok Hung Chan
134 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Modeling and Simulation 1.2k
- Infectious Diseases 4.9k
- Epidemiology 3.2k
- Animal Science and Zoology 896
- Oncology 1.3k
Countries citing papers authored by Kwok Hung Chan
This map shows the geographic impact of Kwok Hung Chan'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 Kwok Hung Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwok Hung Chan more than expected).
Fields of papers citing papers by Kwok Hung Chan
This network shows the impact of papers produced by Kwok Hung Chan. 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 Kwok Hung Chan. The network helps show where Kwok Hung Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kwok Hung Chan, 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 | 2024 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 19 | |
| 6 | Neutralization of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant by Sera From BNT162b2 or CoronaVac Vaccine Recipientsbreakdown → | 2021 | 234 |
| 7 | 2019 | 20 | |
| 8 | 2017 | 9 | |
| 9 | 2014 | 6 | |
| 10 | 2013 | 5 | |
| 11 | 2012 | 135 | |
| 12 | 2012 | 16 | |
| 13 | 2011 | 81 | |
| 14 | 2011 | 29 | |
| 15 | 2010 | 91 | |
| 16 | 2010 | 75 | |
| 17 | 2008 | 143 | |
| 18 | 2003 | 36 | |
| 19 | 1991 | 16 | |
| 20 | 1990 | 6 |
About Kwok Hung Chan
Kwok Hung Chan is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 135 papers that have together received 9.5k indexed citations. Recurring topics across this work include Respiratory viral infections research (47 papers), Influenza Virus Research Studies (43 papers), SARS-CoV-2 and COVID-19 Research (30 papers), Viral gastroenteritis research and epidemiology (29 papers), Viral-associated cancers and disorders (22 papers), Animal Virus Infections Studies (14 papers), SARS-CoV-2 detection and testing (14 papers) and Animal Disease Management and Epidemiology (14 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Infectious Diseases (4.9k citations) and Epidemiology (3.2k citations). Kwok Hung Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Malik Peiris, Kwok‐Yung Yuen, Leo L. M. Poon, Yi Guan, WH Seto, Vincent Chi‐Chung Cheng, GM Leung, John M. Nicholls, Benjamin J. Cowling and Susan S. Chiu. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.