Max S. Y. Lau

1.2k total citations
23 papers, 631 citations indexed

About

Max S. Y. Lau is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Max S. Y. Lau has authored 23 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 10 papers in Infectious Diseases and 10 papers in Epidemiology. 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, Ben Lopman, Michael Bryan, Benjamin J. Cowling, Benjamin D. Dalziel, Amanda McClelland, Gavin J. Gibson and George Streftaris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Max S. Y. Lau

19 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max S. Y. Lau United States 12 413 252 186 102 63 23 631
Kris V. Parag United Kingdom 14 460 1.1× 237 0.9× 190 1.0× 114 1.1× 139 2.2× 38 726
Dillon C. Adam Australia 12 418 1.0× 389 1.5× 217 1.2× 58 0.6× 72 1.1× 39 771
King-Pan Chan Hong Kong 7 602 1.5× 365 1.4× 257 1.4× 242 2.4× 94 1.5× 9 1.0k
Laura Fumanelli Italy 9 489 1.2× 261 1.0× 219 1.2× 128 1.3× 51 0.8× 14 666
Xiaodan Sun China 13 319 0.8× 196 0.8× 115 0.6× 169 1.7× 91 1.4× 28 599
Áine B. Collins Ireland 9 502 1.2× 414 1.6× 127 0.7× 75 0.7× 130 2.1× 13 749
Katelyn M. Gostic United States 11 285 0.7× 349 1.4× 476 2.6× 89 0.9× 54 0.9× 20 949
Sam Abbott United Kingdom 13 517 1.3× 430 1.7× 258 1.4× 162 1.6× 127 2.0× 44 944
Bradley G. Wagner United States 11 241 0.6× 365 1.4× 334 1.8× 94 0.9× 49 0.8× 17 679
Gail E. Potter United States 10 377 0.9× 162 0.6× 382 2.1× 121 1.2× 34 0.5× 15 690

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Max S. Y. Lau. A scholar is included among the top collaborators of Max S. 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 Max S. Y. Lau. Max S. Y. Lau 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.
Koelle, Katia, et al.. (2025). Projecting the population-level impact of norovirus vaccines. Epidemics. 52. 100842–100842.
2.
3.
Prakash, B. Aditya, et al.. (2024). A Review of Graph Neural Networks in Epidemic Modeling. 6577–6587. 19 indexed citations
4.
VanInsberghe, David, Dillon S. McBride, Juliana DaSilva, et al.. (2024). Genetic drift and purifying selection shape within-host influenza A virus populations during natural swine infections. PLoS Pathogens. 20(4). e1012131–e1012131. 1 indexed citations
5.
Lopman, Benjamin A., Andreas Züfle, Benjamin D. Dalziel, et al.. (2024). Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models. PLoS Computational Biology. 20(11). e1012616–e1012616.
6.
Lau, Max S. Y., Carol Liu, Aaron J. Siegler, et al.. (2022). Post-lockdown changes of age-specific susceptibility and its correlation with adherence to social distancing measures. Scientific Reports. 12(1). 4637–4637. 4 indexed citations
7.
Lau, Max S. Y., et al.. (2022). Comparing and linking machine learning and semi-mechanistic models for the predictability of endemic measles dynamics. PLoS Computational Biology. 18(9). e1010251–e1010251. 3 indexed citations
8.
Shioda, Kayoko, Max S. Y. Lau, Alicia N.M. Kraay, et al.. (2021). Estimating the Cumulative Incidence of SARS-CoV-2 Infection and the Infection Fatality Ratio in Light of Waning Antibodies. Epidemiology. 32(4). 518–524. 58 indexed citations
9.
Lau, Max S. Y., et al.. (2020). Characterizing superspreading events and age-specific infectiousness of SARS-CoV-2 transmission in Georgia, USA. Proceedings of the National Academy of Sciences. 117(36). 22430–22435. 142 indexed citations
10.
Firestone, Simon M., Yoko Hayama, Max S. Y. Lau, et al.. (2020). Transmission network reconstruction for foot-and-mouth disease outbreaks incorporating farm-level covariates. PLoS ONE. 15(7). e0235660–e0235660. 9 indexed citations
11.
Lau, Max S. Y., Alexander D. Becker, Quentin Caudron, et al.. (2020). A competing-risks model explains hierarchical spatial coupling of measles epidemics en route to national elimination. Nature Ecology & Evolution. 4(7). 934–939. 10 indexed citations
12.
Prem, Kiesha, et al.. (2019). Inferring who-infected-whom-where in the 2016 Zika outbreak in Singapore—a spatio-temporal model. Journal of The Royal Society Interface. 16(155). 20180604–20180604. 11 indexed citations
13.
Lau, Max S. Y., Bryan T. Grenfell, Colin J. Worby, & Gavin J. Gibson. (2019). Model diagnostics and refinement for phylodynamic models. PLoS Computational Biology. 15(4). e1006955–e1006955. 3 indexed citations
14.
Dalziel, Benjamin D., Max S. Y. Lau, Amanda Tiffany, et al.. (2018). Unreported cases in the 2014-2016 Ebola epidemic: Spatiotemporal variation, and implications for estimating transmission. PLoS neglected tropical diseases. 12(1). e0006161–e0006161. 27 indexed citations
15.
Lau, Max S. Y., Gavin J. Gibson, Amanda McClelland, et al.. (2017). A mechanistic spatio-temporal framework for modelling individual-to-individual transmission—With an application to the 2014-2015 West Africa Ebola outbreak. PLoS Computational Biology. 13(10). e1005798–e1005798. 17 indexed citations
16.
Lau, Max S. Y., Benjamin D. Dalziel, Sebastian Funk, et al.. (2017). Spatial and temporal dynamics of superspreading events in the 2014–2015 West Africa Ebola epidemic. Proceedings of the National Academy of Sciences. 114(9). 2337–2342. 109 indexed citations
17.
Lau, Max S. Y., Glenn Marion, George Streftaris, & Gavin J. Gibson. (2015). A Systematic Bayesian Integration of Epidemiological and Genetic Data. PLoS Computational Biology. 11(11). e1004633–e1004633. 43 indexed citations
18.
Lau, Max S. Y., Benjamin J. Cowling, Alex R. Cook, & Steven Riley. (2015). Inferring influenza dynamics and control in households. Proceedings of the National Academy of Sciences. 112(29). 9094–9099. 48 indexed citations
19.
Cowling, Benjamin J., et al.. (2011). The feasibility of age-specific travel restrictions during influenza pandemics. Theoretical Biology and Medical Modelling. 8(1). 44–44. 21 indexed citations
20.
Cowling, Benjamin J., Max S. Y. Lau, LM Ho, et al.. (2010). The Effective Reproduction Number of Pandemic Influenza. Epidemiology. 21(6). 842–846. 80 indexed citations

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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