Cheuk Kwong Lee
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 4
- Hepatology top 5%
- Epidemiology top 10%
- Influenza Virus Research Studies 5
- Hepatitis B Virus Studies 5
- Respiratory viral infections research 3
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 4
- Health top 10%
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- Hematopoietic Stem Cell Transplantation 5
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- Systemic Lupus Erythematosus Research 4
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- T-cell and B-cell Immunology 4
- Co-authors
- George LauRaymond LiangJoseph T. WuBenjamin J. CowlingWei Ling LimYL LauGM LeungMalik Peiris
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Medicine (1 paper)Blood (2 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Cheuk Kwong Lee
30 papers receiving 707 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 181
- Hepatology 135
- Epidemiology 405
- Infectious Diseases 214
- Health 51
Countries citing papers authored by Cheuk Kwong Lee
This map shows the geographic impact of Cheuk Kwong Lee'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 Cheuk Kwong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheuk Kwong Lee more than expected).
Fields of papers citing papers by Cheuk Kwong Lee
This network shows the impact of papers produced by Cheuk Kwong Lee. 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 Cheuk Kwong Lee. The network helps show where Cheuk Kwong Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cheuk Kwong Lee, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | Real-world COVID-19 vaccine effectiveness against the Omicron BA.2 variant in a SARS-CoV-2 infection-naive populationbreakdown → | 2023 | 116 |
| 4 | 2023 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2014 | 36 | |
| 14 | 2011 | 50 | |
| 15 | 2010 | 148 | |
| 16 | 2008 | 21 | |
| 17 | 2003 | 16 | |
| 18 | 2003 | 12 | |
| 19 | 1998 | 42 | |
| 20 | 1998 | 62 |
About Cheuk Kwong Lee
Cheuk Kwong Lee is a scholar working on Hematology, Modeling and Simulation and Management of Technology and Innovation, having authored 32 papers that have together received 720 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Hepatitis B Virus Studies (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (4 papers), Systemic Lupus Erythematosus Research (4 papers), T-cell and B-cell Immunology (4 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Modeling and Simulation (181 citations), Hepatology (135 citations) and Epidemiology (405 citations). Cheuk Kwong Lee has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include George Lau, Raymond Liang, Joseph T. Wu, Benjamin J. Cowling, Wei Ling Lim, YL Lau, GM Leung, Malik Peiris, Che Kit Lin and Su‐Vui Lo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Blood.
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.