Dat Mai
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
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- Immune cells in cancer
- Immune responses and vaccinations
- Immune Cell Function and Interaction
- interferon and immune responses
Papers in
-
- Tuberculosis Research and Epidemiology 9
-
- Immune cells in cancer 5
- Immune Response and Inflammation 3
- Immune responses and vaccinations 2
- Co-authors
- Alan Aderem (12 shared papers)Alan H. Diercks (10 shared papers)Alissa C. Rothchild (8 shared papers)Elizabeth S. Gold (7 shared papers)Gregory S. Olson (4 shared papers)Johannes Nemeth (4 shared papers)Kevin B. Urdahl (5 shared papers)Lynn M. Amon (3 shared papers)
- Journals
- PLoS Pathogens (3 papers)Proceedings of the National Academy of Sciences (3 papers)Molecular Biology and Evolution (2 papers)The Journal of Immunology (2 papers)Science Immunology (1 paper)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Dat Mai
17 papers receiving 503 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 216
- Immunology 192
- Cancer Research 68
- Epidemiology 135
- Molecular Biology 169
Countries citing papers authored by Dat Mai
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).
Fields of papers citing papers by Dat Mai
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.
Co-authors
The 25 scholars most cited alongside Dat Mai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 113 | |
| 2 | 2016 | 112 | |
| 3 | 2021 | 88 | |
| 4 | 2020 | 41 | |
| 5 | 2019 | 41 | |
| 6 | 2024 | 25 | |
| 7 | 2019 | 20 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 6 | |
| 12 | 2020 | 6 | |
| 13 | 2025 | 5 | |
| 14 | 2010 | 5 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2016 | 1 |
About Dat Mai
Dat Mai is a scholar working on Infectious Diseases, Immunology, Epidemiology, Molecular Biology and Surgery, having authored 17 papers that have together received 504 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (5 papers), Immune cells in cancer (5 papers), Immune Response and Inflammation (3 papers), Chromosomal and Genetic Variations (2 papers), Immune responses and vaccinations (2 papers), Genomics and Phylogenetic Studies (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Infectious Diseases (216 citations), Immunology (192 citations), Cancer Research (68 citations), Epidemiology (135 citations) and Molecular Biology (169 citations). Dat Mai has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Alan Aderem, Alan H. Diercks, Alissa C. Rothchild, Elizabeth S. Gold, Gregory S. Olson, Johannes Nemeth, Kevin B. Urdahl, Lynn M. Amon, Nitin S. Baliga and Doris Bachtrog. Their work appears in journals such as PLoS Pathogens, Proceedings of the National Academy of Sciences, Molecular Biology and Evolution, The Journal of Immunology and Science Immunology.
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.