Chun‐Kit Yuen
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
-
- interferon and immune responses
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 3
- COVID-19 Clinical Research Studies 2
-
- interferon and immune responses 2
- Co-authors
- Kin‐Hang Kok (9 shared papers)Wan‐Man Wong (7 shared papers)Kelvin Kai‐Wang To (3 shared papers)Xiaohui Wang (2 shared papers)Hin Chu (2 shared papers)Dong‐Yan Jin (3 shared papers)Jasper Fuk‐Woo Chan (1 shared paper)Kwok-Yung Yuen (1 shared paper)
- Journals
- Emerging Microbes & Infections (4 papers)Journal of materials research/Pratt's guide to venture capital sources (3 papers)Retrovirology (1 paper)Journal of Medical Virology (1 paper)The FASEB Journal (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Chun‐Kit Yuen
15 papers receiving 852 citations
Peers
Comparison fields: 5 of 86
- Infectious Diseases 544
- Immunology 228
- Animal Science and Zoology 78
- Neurology 69
- Ceramics and Composites 25
Countries citing papers authored by Chun‐Kit Yuen
This map shows the geographic impact of Chun‐Kit Yuen'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 Chun‐Kit Yuen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Kit Yuen more than expected).
Fields of papers citing papers by Chun‐Kit Yuen
This network shows the impact of papers produced by Chun‐Kit Yuen. 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 Chun‐Kit Yuen. The network helps show where Chun‐Kit Yuen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Kit Yuen, 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 | 410 | |
| 2 | 2021 | 167 | |
| 3 | 2020 | 47 | |
| 4 | 2020 | 41 | |
| 5 | 2016 | 34 | |
| 6 | 2016 | 31 | |
| 7 | 1997 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 1998 | 21 | |
| 10 | 2022 | 17 | |
| 11 | 2018 | 15 | |
| 12 | 1998 | 12 | |
| 13 | 1995 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 2 |
About Chun‐Kit Yuen
Chun‐Kit Yuen is a scholar working on Infectious Diseases, Immunology, Animal Science and Zoology, Epidemiology and Mechanical Engineering, having authored 15 papers that have together received 864 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Metallic Glasses and Amorphous Alloys (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Solidification and crystal growth phenomena (3 papers), Influenza Virus Research Studies (3 papers), COVID-19 Clinical Research Studies (2 papers), Animal Virus Infections Studies (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Infectious Diseases (544 citations), Immunology (228 citations), Animal Science and Zoology (78 citations), Neurology (69 citations) and Ceramics and Composites (25 citations). Chun‐Kit Yuen has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Kin‐Hang Kok, Wan‐Man Wong, Kelvin Kai‐Wang To, Xiaohui Wang, Hin Chu, Dong‐Yan Jin, Jasper Fuk‐Woo Chan, Kwok-Yung Yuen, Jian‐Piao Cai and H. W. Kui. Their work appears in journals such as Emerging Microbes & Infections, Journal of materials research/Pratt's guide to venture capital sources, Retrovirology, Journal of Medical Virology and The FASEB Journal.
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.