Maya Latimer

18 papers and 469 indexed citations i.

About

Maya Latimer is a scholar working on Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Maya Latimer has authored 18 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Genetics. Recurrent topics in Maya Latimer’s work include Lymphoma Diagnosis and Treatment (8 papers), Obsessive-Compulsive Spectrum Disorders (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Maya Latimer is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Obsessive-Compulsive Spectrum Disorders (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Maya Latimer collaborates with scholars based in Australia, United States and New Zealand. Maya Latimer's co-authors include Susan E. Swedo, Michael Cooperstock, Jakob Seidlitz, Kyle A. Williams, Mark S. Pasternack, Tanya K. Murphy, Jennifer Frankovich, Madeleine W. Cunningham, Kiki Chang and Margo Thienemann and has published in prestigious journals such as Blood, British Journal of Haematology and The Medical Journal of Australia.

In The Last Decade

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

Fields of papers citing papers by Maya Latimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Latimer

Since Specialization
Citations

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