Maya Kesler

12 papers and 329 indexed citations i.

About

Maya Kesler is a scholar working on Epidemiology, Infectious Diseases and Sociology and Political Science. According to data from OpenAlex, Maya Kesler has authored 12 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 8 papers in Infectious Diseases and 3 papers in Sociology and Political Science. Recurrent topics in Maya Kesler’s work include Prevention and Treatment of HIV/AIDS Infection (8 papers), HIV, Drug Use, Sexual Risk (7 papers) and LGBTQ Health, Identity, and Policy (3 papers). Maya Kesler is often cited by papers focused on Prevention and Treatment of HIV/AIDS Infection (8 papers), HIV, Drug Use, Sexual Risk (7 papers) and LGBTQ Health, Identity, and Policy (3 papers). Maya Kesler collaborates with scholars based in Canada, United States and India. Maya Kesler's co-authors include Lukasz Aleksandrowicz, Usha Ram, Prabhat Jha, Rajesh Kumar, Diego G. Bassani, Faujdar Ram, Shailaja Chandra, J. K. Banthia, Rupert Kaul and Mona Loutfy and has published in prestigious journals such as The Lancet, PLoS ONE and BMC Public Health.

In The Last Decade

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

Fields of papers citing papers by Maya Kesler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Kesler

Since Specialization
Citations

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