Leo C. H. Tsang
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 2
- Modeling and Simulation top 5%
- Health top 10%
- Vaccine Coverage and Hesitancy 1
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies 2
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- Viral Infections and Immunology Research 2
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- Bacillus and Francisella bacterial research 1
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- Virus-based gene therapy research 1
- Co-authors
- Malik PeirisSamuel M. S. ChengDavid S.C. HuiEric H. Y. LauLeo L. M. PoonLeo L. H. LukFanny W.S. KoSusanna S. Ng
- Journals
- Nature Medicine (2 papers)Clinical Infectious Diseases (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Leo C. H. Tsang
7 papers receiving 374 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Infectious Diseases 346
- Modeling and Simulation 47
- Health 79
- Animal Science and Zoology 55
- Obstetrics and Gynecology 16
Countries citing papers authored by Leo C. H. Tsang
This map shows the geographic impact of Leo C. H. Tsang'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 Leo C. H. Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo C. H. Tsang more than expected).
Fields of papers citing papers by Leo C. H. Tsang
This network shows the impact of papers produced by Leo C. H. Tsang. 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 Leo C. H. Tsang. The network helps show where Leo C. H. Tsang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leo C. H. Tsang, 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 | Real-world COVID-19 vaccine effectiveness against the Omicron BA.2 variant in a SARS-CoV-2 infection-naive populationbreakdown → | 2023 | 116 |
| 3 | 2022 | 10 | |
| 4 | 2022 | 4 | |
| 5 | Neutralizing antibodies against the SARS-CoV-2 Omicron variant BA.1 following homologous and heterologous CoronaVac or BNT162b2 vaccinationbreakdown → | 2022 | 211 |
| 6 | 2022 | 17 | |
| 7 | 2022 | 20 |
About Leo C. H. Tsang
Leo C. H. Tsang is a scholar working on Infectious Diseases, Animal Science and Zoology and Health, having authored 7 papers that have together received 379 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (4 papers), Viral Infections and Immunology Research (2 papers), SARS-CoV-2 detection and testing (2 papers), Animal Virus Infections Studies (2 papers), Bacillus and Francisella bacterial research (1 paper), Virus-based gene therapy research (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Infectious Diseases (346 citations), Modeling and Simulation (47 citations) and Health (79 citations). Leo C. H. Tsang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Malik Peiris, Samuel M. S. Cheng, David S.C. Hui, Eric H. Y. Lau, Leo L. M. Poon, Leo L. H. Luk, Fanny W.S. Ko, Susanna S. Ng, Karen Yiu and Chris Ka Pun Mok. Their work appears in journals such as Nature Medicine, Clinical Infectious Diseases and The Journal of Infectious Diseases.
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.