Tim K. Tsang

6.0k total citations · 2 hit papers
87 papers, 2.9k citations indexed

About

Tim K. Tsang is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Tim K. Tsang has authored 87 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Modeling and Simulation, 46 papers in Epidemiology and 36 papers in Infectious Diseases. Recurrent topics in Tim K. Tsang's work include COVID-19 epidemiological studies (59 papers), Influenza Virus Research Studies (39 papers) and Respiratory viral infections research (24 papers). Tim K. Tsang is often cited by papers focused on COVID-19 epidemiological studies (59 papers), Influenza Virus Research Studies (39 papers) and Respiratory viral infections research (24 papers). Tim K. Tsang collaborates with scholars based in Hong Kong, China and United States. Tim K. Tsang's co-authors include Benjamin J. Cowling, Peng Wu, GM Leung, Eric H. Y. Lau, Simon Cauchemez, Sheikh Taslim Ali, Qiuyan Liao, Joseph T. Wu, Tiffany Ng and Susan S. Chiu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Tim K. Tsang

80 papers receiving 2.8k citations

Hit Papers

Impact assessment of non-pharmaceutical interventions aga... 2020 2026 2022 2024 2020 2020 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim K. Tsang Hong Kong 21 1.4k 1.1k 1.1k 361 352 87 2.9k
Matthew Biggerstaff United States 30 1.6k 1.1× 1.4k 1.3× 1.6k 1.5× 270 0.7× 258 0.7× 81 4.0k
Jessica Y. Wong Hong Kong 24 1.2k 0.9× 1.2k 1.1× 732 0.7× 386 1.1× 315 0.9× 72 3.0k
Sheikh Taslim Ali Hong Kong 21 1.3k 0.9× 890 0.8× 633 0.6× 381 1.1× 323 0.9× 46 2.1k
Thomas Tsang China 27 1.6k 1.2× 1.8k 1.6× 1.5k 1.4× 252 0.7× 214 0.6× 57 3.9k
Ashleigh R. Tuite Canada 29 1.3k 1.0× 1.2k 1.0× 990 0.9× 253 0.7× 197 0.6× 124 3.3k
James Wood Australia 25 659 0.5× 973 0.9× 1.3k 1.2× 206 0.6× 185 0.5× 108 2.8k
Magdalena Rosińska Poland 17 1.4k 1.0× 1.0k 0.9× 1.4k 1.3× 272 0.8× 194 0.6× 147 2.9k
Rosalind M. Eggo United Kingdom 26 1.6k 1.2× 1.5k 1.3× 766 0.7× 400 1.1× 373 1.1× 83 3.2k
Susan S. Chiu Hong Kong 34 752 0.5× 2.0k 1.8× 3.1k 2.8× 244 0.7× 256 0.7× 94 4.9k
Marco Massari Italy 21 1.5k 1.1× 823 0.7× 1.6k 1.4× 306 0.8× 138 0.4× 43 3.2k

Countries citing papers authored by Tim K. Tsang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tim K. Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of Tim K. Tsang. A scholar is included among the top collaborators of Tim K. Tsang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim K. Tsang. Tim K. Tsang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ho, Faith, Yun Lin, Eric H. Y. Lau, et al.. (2025). Retrospective assessment of vaccination policy optimizations during an Omicron BA.2 epidemic in Hong Kong: A modelling study. Journal of Infection and Public Health. 18(12). 102972–102972.
2.
Yang, Bingyi, Katelyn M. Gostic, Dillon C. Adam, et al.. (2025). Breadth of influenza A antibody cross-reactivity varies by virus isolation interval and subtype. Nature Microbiology. 10(7). 1711–1722.
3.
Tsang, Tim K., Sheena G. Sullivan, Can Wang, et al.. (2024). Prior infections and effectiveness of SARS-CoV-2 vaccine in test-negative studies: a systematic review and meta-analysis. American Journal of Epidemiology. 193(12). 1868–1881. 4 indexed citations
4.
Cohen, Carolyn A., Haogao Gu, Raghavan Varadarajan, et al.. (2024). Influenza antibody breadth and effector functions are immune correlates from acquisition of pandemic infection of children. Nature Communications. 15(1). 3210–3210. 1 indexed citations
5.
Tsang, Tim K., Sheena G. Sullivan, Yu Meng, et al.. (2024). Evaluating the impact of extended dosing intervals on mRNA COVID-19 vaccine effectiveness in adolescents. BMC Medicine. 22(1). 384–384. 1 indexed citations
6.
Tsang, Tim K., Vicky J. Fang, Eric H. Y. Lau, et al.. (2024). Decreased risk of non-influenza respiratory infection after influenza B virus infection in children. Epidemiology and Infection. 152. e60–e60. 2 indexed citations
7.
Peng, Liping, et al.. (2023). Epidemiology of SARS-CoV-2 Omicron BA.5 Infections, Macau, June–July 2022. Emerging infectious diseases. 29(2). 453–456. 6 indexed citations
8.
Sullivan, Sheena G., Arseniy Khvorov, Can Wang, et al.. (2023). The need for a clinical case definition in test-negative design studies estimating vaccine effectiveness. npj Vaccines. 8(1). 118–118. 9 indexed citations
9.
Tsang, Tim K., Min Whui Fong, Can Wang, et al.. (2023). Effects of School-Based Preventive Measures on COVID-19 Incidence, Hong Kong, 2022. Emerging infectious diseases. 29(9). 1850–1854. 3 indexed citations
10.
Ning, Ke, Yishan Wang, Francis P Flores, et al.. (2023). COVID-19 Vaccination Willingness and Reasons for Vaccine Refusal. JAMA Network Open. 6(10). e2337909–e2337909. 11 indexed citations
11.
Chen, Dongxuan, Yiu Chung Lau, Xiao-Ke Xu, et al.. (2022). Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19. Nature Communications. 13(1). 7727–7727. 22 indexed citations
12.
Lin, Yun, Bingyi Yang, Sarah Cobey, et al.. (2022). Incorporating temporal distribution of population-level viral load enables real-time estimation of COVID-19 transmission. Nature Communications. 13(1). 1155–1155. 18 indexed citations
13.
Du, Zhanwei, Lin Wang, Tim K. Tsang, et al.. (2022). Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong. Proceedings of the National Academy of Sciences. 119(48). e2213313119–e2213313119. 25 indexed citations
14.
Yang, Bingyi, et al.. (2022). Immunogenicity, efficacy, and safety of SARS-CoV-2 vaccine dose fractionation: a systematic review and meta-analysis. BMC Medicine. 20(1). 409–409. 6 indexed citations
15.
Tsang, Tim K., Peng Wu, Eric H. Y. Lau, & Benjamin J. Cowling. (2021). Accounting for Imported Cases in Estimating the Time-Varying Reproductive Number of Coronavirus Disease 2019 in Hong Kong. The Journal of Infectious Diseases. 224(5). 783–787. 16 indexed citations
16.
Tsang, Tim K., Lionel Gresh, Aubree Gordon, et al.. (2019). Effects of infection history on dengue virus infection and pathogenicity. Nature Communications. 10(1). 1246–1246. 34 indexed citations
17.
Virlogeux, Victor, Shuo Feng, Tim K. Tsang, et al.. (2018). Evaluation of animal-to-human and human-to-human transmission of influenza A (H7N9) virus in China, 2013–15. Scientific Reports. 8(1). 552–552. 20 indexed citations
18.
Tsang, Tim K., Benjamin J. Cowling, Vicky J. Fang, et al.. (2015). Influenza A Virus Shedding and Infectivity in Households. The Journal of Infectious Diseases. 212(9). 1420–1428. 77 indexed citations
19.
Tsang, Tim K., Lincoln Lau, Simon Cauchemez, & Benjamin J. Cowling. (2015). Household Transmission of Influenza Virus. Trends in Microbiology. 24(2). 123–133. 84 indexed citations
20.
Ho, LM, et al.. (2011). Prospective estimation of the effective reproduction number of pandemic influenza in Hong Kong. Figshare.

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.

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