Kathy Leung

30.7k citations
72 papers · 6.5k indexed · 6 hit papers · h-index 26
Topics
COVID-19 epidemiological studies (29 papers)SARS-CoV-2 and COVID-19 Research (18 papers)Influenza Virus Research Studies (10 papers)

In The Last Decade

Kathy Leung

68 papers receiving 6.3k citations

Hit Papers

Nowcasting and forecasting the potential domestic and int...20202026202220242020202020212023202350010001.5k2.0k2.5k

Peers

Kathy Leung
Comparison fields: 5 of 182
  • Modeling and Simulation 2.9k
  • Infectious Diseases 2.9k
  • Economics and Econometrics 1.2k
  • Epidemiology 916
  • Clinical Psychology 644
Replace Lin Yang with:
Lin Yang Hong Kong
Kyra H. Grantz United States
Moritz U. G. Kraemer United Kingdom
Daihai He Hong Kong
Shi Zhao Hong Kong
Andrew S. Azman United States
Hannah R. Meredith United States
Yonatan H. Grad United States
Alex R. Cook Singapore
Joseph T. Wu Hong Kong
Kathy Leung relative to Lin Yang Hong Kong Lin Yang's profile →
Citations per field
00.5×10×14×
Lin Yang · 1×
Citations per year

Countries citing papers authored by Kathy Leung

Since Specialization
Citations

This map shows the geographic impact of Kathy Leung'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 Kathy Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathy Leung more than expected).

Fields of papers citing papers by Kathy Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathy Leung. 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 Kathy Leung. The network helps show where Kathy Leung may publish in the future.

Co-authorship network of co-authors of Kathy Leung

This figure shows the co-authorship network connecting the top 25 collaborators of Kathy Leung. A scholar is included among the top collaborators of Kathy Leung 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 Kathy Leung. Kathy Leung 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
#WorkIndexed citations
1 3
2 0
3 3
4 3
5 21
6 2
7
Real-world COVID-19 vaccine effectiveness against the Omicron BA.2 variant in a SARS-CoV-2 infection-naive populationbreakdown →
116
8 16
9
Estimating the transmission dynamics of SARS-CoV-2 Omicron BF.7 in Beijing after adjustment of the zero-COVID policy in November–December 2022breakdown →
107
10 2
11 53
12 30
13 14
14 7
15 33
16 2
17 13
18 5
19 102
20 89

About Kathy Leung

Kathy Leung is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 72 papers that have together received 6.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (29 papers), SARS-CoV-2 and COVID-19 Research (18 papers) and Influenza Virus Research Studies (10 papers). The work is most often cited by research in Modeling and Simulation (2.9k citations), Infectious Diseases (2.9k citations) and Health (421 citations). Kathy Leung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Joseph T. Wu, GM Leung, Di Liu, Eric H. Y. Lau, Tommy Tsan‐Yuk Lam, Benjamin J. Cowling, Wai K. Leung, Mark Jit, Malik Peiris and Cheuk‐Wai Choi. Their work appears in journals such as The Lancet, Nature Medicine and Nature Communications.

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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