Maya Monroe

12 papers and 182 indexed citations i.

About

Maya Monroe is a scholar working on Epidemiology, Modeling and Simulation and Genetics. According to data from OpenAlex, Maya Monroe has authored 12 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 3 papers in Modeling and Simulation and 2 papers in Genetics. Recurrent topics in Maya Monroe’s work include Influenza Virus Research Studies (11 papers), Respiratory viral infections research (8 papers) and COVID-19 epidemiological studies (3 papers). Maya Monroe is often cited by papers focused on Influenza Virus Research Studies (11 papers), Respiratory viral infections research (8 papers) and COVID-19 epidemiological studies (3 papers). Maya Monroe collaborates with scholars based in United States, Kenya and Japan. Maya Monroe's co-authors include William Schaffner, Ann Thomas, Nancy M. Bennett, Evan J. Anderson, Ruth Lynfield, Laurie M. Billing, Shikha Garg, Jan Baumbach, James Meek and Craig Morin and has published in prestigious journals such as Annals of Internal Medicine, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of Maya Monroe i

Fields of papers citing papers by Maya Monroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Monroe

Since Specialization
Citations

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