Lauren Ancel Meyers

155 papers and 9.2k indexed citations i.

About

Lauren Ancel Meyers is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Lauren Ancel Meyers has authored 155 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Modeling and Simulation, 51 papers in Epidemiology and 49 papers in Infectious Diseases. Recurrent topics in Lauren Ancel Meyers’s work include COVID-19 epidemiological studies (95 papers), Influenza Virus Research Studies (34 papers) and SARS-CoV-2 and COVID-19 Research (20 papers). Lauren Ancel Meyers is often cited by papers focused on COVID-19 epidemiological studies (95 papers), Influenza Virus Research Studies (34 papers) and SARS-CoV-2 and COVID-19 Research (20 papers). Lauren Ancel Meyers collaborates with scholars based in United States, Canada and United Kingdom. Lauren Ancel Meyers's co-authors include Alison P. Galvani, Shweta Bansal, Babak Pourbohloul, Erik Volz, M. E. J. Newman, Bryan T. Grenfell, Zhanwei Du, Benjamin J. Cowling, James J. Bull and Lin Wang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Lauren Ancel Meyers i

Fields of papers citing papers by Lauren Ancel Meyers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren Ancel Meyers. 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 Lauren Ancel Meyers. The network helps show where Lauren Ancel Meyers may publish in the future.

Countries citing papers authored by Lauren Ancel Meyers

Since Specialization
Citations

This map shows the geographic impact of Lauren Ancel Meyers'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 Lauren Ancel Meyers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren Ancel Meyers 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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2025