James A. Hay

19 papers and 914 indexed citations i.

About

James A. Hay is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, James A. Hay has authored 19 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 11 papers in Modeling and Simulation and 8 papers in Infectious Diseases. Recurrent topics in James A. Hay’s work include COVID-19 epidemiological studies (11 papers), Influenza Virus Research Studies (8 papers) and SARS-CoV-2 detection and testing (5 papers). James A. Hay is often cited by papers focused on COVID-19 epidemiological studies (11 papers), Influenza Virus Research Studies (8 papers) and SARS-CoV-2 detection and testing (5 papers). James A. Hay collaborates with scholars based in United States, United Kingdom and China. James A. Hay's co-authors include Michael J. Mina, Bryan Wilder, Milind Tambe, Roy Parker, Soraya I. Shehata, Daniel B. Larremore, James M. Burke, Evan Lester, Marc Lipsitch and Stacey Gabriel and has published in prestigious journals such as Science, Nature Communications and PLoS Biology.

In The Last Decade

Co-authorship network of co-authors of James A. Hay i

Fields of papers citing papers by James A. Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Hay. 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 James A. Hay. The network helps show where James A. Hay may publish in the future.

Countries citing papers authored by James A. Hay

Since Specialization
Citations

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