Ka-Tim Choy
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 2%
Papers in
- Epidemiology 11
- Influenza Virus Research Studies 10
- Respiratory viral infections research 4
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- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Hui‐Ling Yen (12 shared papers)Malik Peiris (9 shared papers)Sin Fun Sia (9 shared papers)Prathanporn Kaewpreedee (2 shared papers)Leo L. M. Poon (3 shared papers)Peter Pak‐Hang Cheung (6 shared papers)John M. Nicholls (2 shared papers)Ranawaka A. P. M. Perera (1 shared paper)
- Journals
- Journal of Virology (2 papers)Antiviral Research (2 papers)The Journal of Infectious Diseases (2 papers)Nature Communications (1 paper)Emerging Microbes & Infections (1 paper)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Ka-Tim Choy
15 papers receiving 1.9k citations
Ka-Tim Choy's Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 1.2k
- Modeling and Simulation 125
- Neurology 230
- Animal Science and Zoology 143
- Epidemiology 365
Countries citing papers authored by Ka-Tim Choy
This map shows the geographic impact of Ka-Tim Choy'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 Ka-Tim Choy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka-Tim Choy more than expected).
Fields of papers citing papers by Ka-Tim Choy
This network shows the impact of papers produced by Ka-Tim Choy. 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 Ka-Tim Choy. The network helps show where Ka-Tim Choy may publish in the future.
Co-authors
The 25 scholars most cited alongside Ka-Tim Choy, 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 | Pathogenesis and transmission of SARS-CoV-2 in golden hamsters Hit paper breakdown → | 2020 | 828 |
| 2 | Remdesivir, lopinavir, emetine, and homoharringtonine inhibit SARS-CoV-2 replication in vitro Hit paper breakdown → | 2020 | 672 |
| 3 | 2014 | 86 | |
| 4 | 2013 | 84 | |
| 5 | 2018 | 64 | |
| 6 | 1999 | 36 | |
| 7 | 2012 | 32 | |
| 8 | 2015 | 24 | |
| 9 | 2002 | 22 | |
| 10 | 2014 | 21 | |
| 11 | 2021 | 14 | |
| 12 | 2014 | 12 | |
| 13 | 2021 | 8 | |
| 14 | 1996 | 8 | |
| 15 | 2024 | 2 |
About Ka-Tim Choy
Ka-Tim Choy is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Plant Science and Immunology, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Respiratory viral infections research (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers), COVID-19 Clinical Research Studies (2 papers), interferon and immune responses (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Modeling and Simulation (125 citations), Neurology (230 citations), Animal Science and Zoology (143 citations) and Epidemiology (365 citations). Ka-Tim Choy has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Hui‐Ling Yen, Malik Peiris, Sin Fun Sia, Prathanporn Kaewpreedee, Leo L. M. Poon, Peter Pak‐Hang Cheung, John M. Nicholls, Ranawaka A. P. M. Perera, Alex W. H. Chin and Michael C. W. Chan. Their work appears in journals such as Journal of Virology, Antiviral Research, The Journal of Infectious Diseases, Nature Communications and Emerging Microbes & Infections.
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.