Megan Files

21 papers and 347 indexed citations i.

About

Megan Files is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Megan Files has authored 21 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 10 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Megan Files’s work include Tuberculosis Research and Epidemiology (9 papers), Immunotherapy and Immune Responses (5 papers) and Mycobacterium research and diagnosis (5 papers). Megan Files is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Immunotherapy and Immune Responses (5 papers) and Mycobacterium research and diagnosis (5 papers). Megan Files collaborates with scholars based in United States, India and United Kingdom. Megan Files's co-authors include Tanya Parish, Jai S. Rudra, Mai A. Bailey, Juliane Ollinger, Torey Alling, Yulia Ovechkina, Julie V. Early, Joshua Odingo, Shilah A. Bonnett and Janice J. Endsley and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Megan Files

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megan Files

Since Specialization
Citations

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