Dat Q. Tran

9.4k citations
102 papers · 6.7k indexed · 3 hit papers · h-index 39

Dat Q. Tran

102 papers receiving 6.5k citations

Hit Papers

Expression of Helios, an Ikaros Transcription Facto...1.0k19992026200820172505007501000

Peers

Dat Q. Tran
Comparison fields: 5 of 141
  • Microbiology 1.5k
  • Immunology 3.5k
  • Emergency Medical Services 240
  • Molecular Biology 2.3k
  • Biological Psychiatry 82
Replace Jan Wehkamp with:
Jan Wehkamp Germany
Sho Yamasaki Japan
Lisa Thomas United States
Martha Triantafilou United Kingdom
Scott E. Plevy United States
Edith Porter United States
Sachiko Akashi Japan
Marie‐Louise Hammarström Sweden
Jerrold Weiss United States
Kenji Takabayashi United States
Dat Q. Tran relative to Jan Wehkamp Germany Jan Wehkamp's profile →
Citations per field
00.5×1.5×
Jan Wehkamp · 1×
Citations per year

Countries citing papers authored by Dat Q. Tran

Since Specialization
Citations

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

Fields of papers citing papers by Dat Q. Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dat Q. Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dat Q. Tran Line = papers co-authored together Dat Q. Tran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202118
2 201911
3 201916
4 201958
5 20198
6 201721
7 20151
8 201522
9 201376
10 201312
11 201361
12 201343
13 2011205
14 20102
15
Expression of Helios, an Ikaros Transcription Factor Family Member, Differentiates Thymic-Derived from Peripherally Induced Foxp3+ T Regulatory Cellsbreakdown →
20101035
16 200985
17 200938
18
Induction of FOXP3 expression in naive human CD4+FOXP3− T cells by T-cell receptor stimulation is transforming growth factor-β–dependent but does not confer a regulatory phenotypebreakdown →
2007639
19 2002163
20 1996107

About Dat Q. Tran

Dat Q. Tran is a scholar working on Microbiology, Immunology and Pharmacy, having authored 102 papers that have together received 6.7k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (29 papers), Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (21 papers), Biochemical and Structural Characterization (14 papers), Immune Response and Inflammation (14 papers), Infant Nutrition and Health (10 papers), Immunotherapy and Immune Responses (10 papers) and Gut microbiota and health (10 papers). The work is most often cited by research in Microbiology (1.5k citations), Immunology (3.5k citations) and Emergency Medical Services (240 citations). Dat Q. Tran has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Ethan M. Shevach, H. E. Ramsey, Michael E. Selsted, Angela M. Thornton, Yuying Liu, J. Marc Rhoads, John Andersson, Patricia E. Korty, Elizabeth A. Wohlfert and Yasmine Belkaid. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, The Journal of Immunology, Journal of Biological Chemistry and Antimicrobial Agents and Chemotherapy.

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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