Dat Mai

16 papers and 408 indexed citations i.

About

Dat Mai is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Dat Mai has authored 16 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Dat Mai’s work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (5 papers) and Immune cells in cancer (5 papers). Dat Mai is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (5 papers) and Immune cells in cancer (5 papers). Dat Mai collaborates with scholars based in United States, Japan and Canada. Dat Mai's co-authors include Alan Aderem, Alissa C. Rothchild, Alan H. Diercks, Gregory S. Olson, Elizabeth S. Gold, Johannes Nemeth, Lynn M. Amon, Nitin S. Baliga, Kevin B. Urdahl and Doris Bachtrog and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Molecular Biology and Evolution.

In The Last Decade

Co-authorship network of co-authors of Dat Mai i

Fields of papers citing papers by Dat Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dat Mai

Since Specialization
Citations

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