Megan Coffee

19 papers and 947 indexed citations i.

About

Megan Coffee is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Megan Coffee has authored 19 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 5 papers in Modeling and Simulation and 4 papers in Epidemiology. Recurrent topics in Megan Coffee’s work include COVID-19 epidemiological studies (5 papers), Influenza Virus Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Megan Coffee is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Influenza Virus Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Megan Coffee collaborates with scholars based in United States, United Kingdom and Canada. Megan Coffee's co-authors include Alison P. Galvani, Chris T. Bauch, James O. Lloyd‐Smith, Geoff P. Garnett, Mark N. Lurie, Anasse Bari, Yitong Huang, Jing Cai, Zhengxing Wu and Xinyue Jiang and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of Megan Coffee i

Fields of papers citing papers by Megan Coffee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megan Coffee

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025