Eric H. Y. Lau
- Infectious Diseases top 0.2%
- Epidemiology top 0.5%
- Modeling and Simulation top 0.05%
- Agronomy and Crop Science top 0.5%
- Health top 1%
- Co-authors
- Benjamin J. CowlingGM LeungPeng WuMalik PeirisJessica Y. WongJoseph T. WuTim K. TsangKathy Leung
- Topics
- COVID-19 epidemiological studies (100 papers)Influenza Virus Research Studies (75 papers)SARS-CoV-2 and COVID-19 Research (72 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Eric H. Y. Lau
222 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Infectious Diseases 4.2k
- Epidemiology 2.8k
- Modeling and Simulation 2.6k
- Agronomy and Crop Science 793
- Health 642
Countries citing papers authored by Eric H. Y. Lau
This map shows the geographic impact of Eric H. Y. Lau'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 Eric H. Y. Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric H. Y. Lau more than expected).
Fields of papers citing papers by Eric H. Y. Lau
This network shows the impact of papers produced by Eric H. Y. Lau. 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 Eric H. Y. Lau. The network helps show where Eric H. Y. Lau may publish in the future.
Co-authorship network of co-authors of Eric H. Y. Lau
This figure shows the co-authorship network connecting the top 25 collaborators of Eric H. Y. Lau. A scholar is included among the top collaborators of Eric H. Y. Lau 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 Eric H. Y. Lau. Eric H. Y. Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 23 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 16 | |
| 12 | 1 | |
| 13 | Real-world COVID-19 vaccine effectiveness against the Omicron BA.2 variant in a SARS-CoV-2 infection-naive populationbreakdown → | 116 |
| 14 | 16 | |
| 15 | 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 |
| 16 | 13 | |
| 17 | 37 | |
| 18 | 16 | |
| 19 | 12 | |
| 20 | 20 |
About Eric H. Y. Lau
Eric H. Y. Lau is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 235 papers that have together received 7.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (100 papers), Influenza Virus Research Studies (75 papers) and SARS-CoV-2 and COVID-19 Research (72 papers). The work is most often cited by research in Modeling and Simulation (2.6k citations), Infectious Diseases (4.2k citations) and Epidemiology (2.8k citations). Eric H. Y. Lau has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Benjamin J. Cowling, GM Leung, Peng Wu, Malik Peiris, Jessica Y. Wong, Joseph T. Wu, Tim K. Tsang, Kathy Leung, Carlos King Ho Wong and Sheikh Taslim Ali. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.