Thach Mai
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Aging top 10%
Papers in
-
- Muscle Physiology and Disorders 3
- CRISPR and Genetic Engineering 3
- Ubiquitin and proteasome pathways 2
- 14-3-3 protein interactions 2
- Pluripotent Stem Cells Research 2
- Immunology 10
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 6
- Co-authors
- Paolo Casali (10 shared papers)Hong Zan (9 shared papers)Zhenming Xu (8 shared papers)Egest J. Pone (7 shared papers)Jinsong Zhang (7 shared papers)Ahmed A. Al‐Qahtani (4 shared papers)Clayton A. White (5 shared papers)Helen M. Blau (6 shared papers)
- Journals
- Cell Reports (2 papers)Cell stem cell (2 papers)Nature Cell Biology (2 papers)The Journal of Immunology (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Thach Mai
15 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Immunology 631
- Aging 23
- Molecular Biology 561
- Cancer Research 102
- Genetics 70
Countries citing papers authored by Thach Mai
This map shows the geographic impact of Thach 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 Thach Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thach Mai more than expected).
Fields of papers citing papers by Thach Mai
This network shows the impact of papers produced by Thach 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 Thach Mai. The network helps show where Thach Mai may publish in the future.
Co-authors
The 25 scholars most cited alongside Thach 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 | 2012 | 304 | |
| 2 | 2012 | 187 | |
| 3 | 2019 | 119 | |
| 4 | 2009 | 110 | |
| 5 | 2010 | 110 | |
| 6 | 2017 | 82 | |
| 7 | 2010 | 65 | |
| 8 | 2018 | 38 | |
| 9 | 2012 | 38 | |
| 10 | 2022 | 38 | |
| 11 | 2011 | 32 | |
| 12 | 2021 | 27 | |
| 13 | 2010 | 17 | |
| 14 | 2013 | 12 | |
| 15 | 2025 | 2 | |
| 16 | 2011 | 0 |
About Thach Mai
Thach Mai is a scholar working on Molecular Biology, Immunology, Epidemiology, Oncology and Physiology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Muscle Physiology and Disorders (3 papers), CRISPR and Genetic Engineering (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Immunology (631 citations), Aging (23 citations), Molecular Biology (561 citations), Cancer Research (102 citations) and Genetics (70 citations). Thach Mai has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Paolo Casali, Hong Zan, Zhenming Xu, Egest J. Pone, Jinsong Zhang, Ahmed A. Al‐Qahtani, Clayton A. White, Helen M. Blau, Guideng Li and Ermelinda Porpiglia. Their work appears in journals such as Cell Reports, Cell stem cell, Nature Cell Biology, The Journal of Immunology and Nature Communications.
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.