Maya Williams

About

Maya Williams is a scholar working on Immunology, Virology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Maya Williams has authored 12 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 5 papers in Virology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Maya Williams’s work include Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (5 papers) and Mosquito-borne diseases and control (4 papers). Maya Williams is often cited by papers focused on Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (5 papers) and Mosquito-borne diseases and control (4 papers). Maya Williams collaborates with scholars based in United States, France and Peru. Maya Williams's co-authors include Kathleen L. Collins, Jeremiah F. Roeth, Matthew R. Kasper, Tracey Filzen, Elizabeth R. Wonderlich, Christopher G. Przybycin, Malinda Schaefer, Paul J. Kenny, Anna Q. Yaffee and Deanna A. Kulpa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

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

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Fields of papers citing papers by Maya Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Williams

Since Specialization

Citations

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