Kit‐San Yuen
- Infectious Diseases top 1%
- Viral Infections and Vectors 5
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 3
- Modeling and Simulation top 2%
- Immunology top 5%
- interferon and immune responses 10
- Immune Cell Function and Interaction 4
- Neurology top 5%
- Animal Science and Zoology top 5%
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- Viral-associated cancers and disorders 9
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- CRISPR and Genetic Engineering 4
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- Eosinophilic Disorders and Syndromes 3
- Co-authors
- Dong‐Yan JinChi‐Ping ChanSin‐Yee FungZi‐Wei YeShuofeng YuanKin‐Hang KokKwok‐Yung YuenKam‐Leung Siu
- Journals
- Nucleic Acids Research (2 papers)SHILAP Revista de lepidopterología (1 paper)The Journal of Immunology (4 papers)
In The Last Decade
Kit‐San Yuen
27 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Infectious Diseases 1.5k
- Modeling and Simulation 171
- Immunology 477
- Neurology 303
- Animal Science and Zoology 202
Countries citing papers authored by Kit‐San Yuen
This map shows the geographic impact of Kit‐San 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 Kit‐San Yuen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kit‐San Yuen more than expected).
Fields of papers citing papers by Kit‐San Yuen
This network shows the impact of papers produced by Kit‐San 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 Kit‐San Yuen. The network helps show where Kit‐San Yuen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kit‐San 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 | 2024 | 0 | |
| 2 | 2023 | 27 | |
| 3 | Suppression of type I and type II interferon production and signalling by Epstein-Barr virus BGLF2 protein: abridged secondary publication. | 2023 | 0 |
| 4 | 2021 | 0 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 29 | |
| 7 | 2020 | 14 | |
| 8 | Zoonotic origins of human coronavirusesbreakdown → | 2020 | 600 |
| 9 | 2020 | 461 | |
| 10 | 2020 | 284 | |
| 11 | 2019 | 56 | |
| 12 | 2018 | 70 | |
| 13 | 2017 | 87 | |
| 14 | 2017 | 41 | |
| 15 | 2017 | 2 | |
| 16 | 2016 | 104 | |
| 17 | 2016 | 31 | |
| 18 | 2016 | 22 | |
| 19 | 2014 | 24 | |
| 20 | 2012 | 8 |
About Kit‐San Yuen
Kit‐San Yuen is a scholar working on Immunology, Infectious Diseases and Modeling and Simulation, having authored 31 papers that have together received 2.7k indexed citations. Recurring topics across this work include interferon and immune responses (10 papers), Viral-associated cancers and disorders (9 papers), Viral Infections and Vectors (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Immune Cell Function and Interaction (4 papers), CRISPR and Genetic Engineering (4 papers), Eosinophilic Disorders and Syndromes (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Modeling and Simulation (171 citations) and Immunology (477 citations). Kit‐San Yuen has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include Dong‐Yan Jin, Chi‐Ping Chan, Sin‐Yee Fung, Zi‐Wei Ye, Shuofeng Yuan, Kin‐Hang Kok, Kwok‐Yung Yuen, Kam‐Leung Siu, Man Lung Yeung and Carlos Castaño-Rodríguez. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.