Tim K. Tsang
Impact in
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 43
- Epidemiology 38
- Influenza Virus Research Studies 34
- Respiratory viral infections research 15
- Co-authors
- Benjamin J. Cowling (81 shared papers)Peng Wu (35 shared papers)GM Leung (32 shared papers)Eric H. Y. Lau (35 shared papers)Simon Cauchemez (14 shared papers)Sheikh Taslim Ali (9 shared papers)Qiuyan Liao (7 shared papers)Tiffany Ng (3 shared papers)
- Journals
- The Journal of Infectious Diseases (13 papers)Nature Communications (12 papers)Emerging infectious diseases (9 papers)Clinical Infectious Diseases (6 papers)BMC Medicine (4 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Tim K. Tsang
85 papers receiving 2.9k citations
Tim K. Tsang's Hit Papers
Peers
Comparison fields: 5 of 147
- Modeling and Simulation 1.1k
- Infectious Diseases 843
- Epidemiology 980
- Health 163
- Agronomy and Crop Science 160
Countries citing papers authored by Tim K. Tsang
This map shows the geographic impact of Tim K. 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 Tim K. Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim K. Tsang more than expected).
Fields of papers citing papers by Tim K. Tsang
This network shows the impact of papers produced by Tim K. 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 Tim K. Tsang. The network helps show where Tim K. Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim K. 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
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study Hit paper breakdown → | 2020 | 873 |
| 2 | Clustering and superspreading potential of SARS-CoV-2 infections in Hong Kong Hit paper breakdown → | 2020 | 419 |
| 3 | 2016 | 204 | |
| 4 | 2020 | 140 | |
| 5 | 2014 | 94 | |
| 6 | 2015 | 87 | |
| 7 | 2015 | 80 | |
| 8 | 2021 | 73 | |
| 9 | 2019 | 70 | |
| 10 | 2006 | 63 | |
| 11 | 2022 | 61 | |
| 12 | 2019 | 35 | |
| 13 | 2021 | 32 | |
| 14 | 2015 | 32 | |
| 15 | 2016 | 29 | |
| 16 | 2022 | 27 | |
| 17 | 2023 | 27 | |
| 18 | 2015 | 26 | |
| 19 | 2018 | 26 | |
| 20 | 2022 | 25 |
About Tim K. Tsang
Tim K. Tsang is a scholar working on Modeling and Simulation, Epidemiology, Infectious Diseases, Health and Economics and Econometrics, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (43 papers), Influenza Virus Research Studies (34 papers), SARS-CoV-2 and COVID-19 Research (16 papers), Respiratory viral infections research (15 papers), Vaccine Coverage and Hesitancy (8 papers), COVID-19 Pandemic Impacts (7 papers), COVID-19 Clinical Research Studies (6 papers) and COVID-19 and Mental Health (5 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Infectious Diseases (843 citations), Epidemiology (980 citations), Health (163 citations) and Agronomy and Crop Science (160 citations). Tim K. Tsang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Benjamin J. Cowling, Peng Wu, GM Leung, Eric H. Y. Lau, Simon Cauchemez, Sheikh Taslim Ali, Qiuyan Liao, Tiffany Ng, Joseph T. Wu and Min Whui Fong. Their work appears in journals such as The Journal of Infectious Diseases, Nature Communications, Emerging infectious diseases, Clinical Infectious Diseases and BMC Medicine.
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.