Max S. Y. Lau

21 papers and 597 indexed citations i.

About

Max S. Y. Lau is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Max S. Y. Lau has authored 21 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 9 papers in Epidemiology and 9 papers in Infectious Diseases. Recurrent topics in Max S. Y. Lau’s work include COVID-19 epidemiological studies (15 papers), Animal Disease Management and Epidemiology (7 papers) and Influenza Virus Research Studies (4 papers). Max S. Y. Lau is often cited by papers focused on COVID-19 epidemiological studies (15 papers), Animal Disease Management and Epidemiology (7 papers) and Influenza Virus Research Studies (4 papers). Max S. Y. Lau collaborates with scholars based in United States, United Kingdom and Hong Kong. Max S. Y. Lau's co-authors include Bryan T. Grenfell, Kristin N. Nelson, Steven Riley, Benjamin J. Cowling, Ben Lopman, Michael Bryan, Amanda McClelland, Benjamin D. Dalziel, Gavin J. Gibson and Amanda Tiffany and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Max S. Y. Lau i

Fields of papers citing papers by Max S. Y. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max S. 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 Max S. Y. Lau. The network helps show where Max S. Y. Lau may publish in the future.

Countries citing papers authored by Max S. Y. Lau

Since Specialization
Citations

This map shows the geographic impact of Max S. 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 Max S. 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 Max S. Y. Lau more than expected).

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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