Tran Do

725 citations
7 papers · 302 · h-index 5

Impact in

    • Dermatology and Skin Diseases
    • Acne and Rosacea Treatments and Effects
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Psoriasis: Treatment and Pathogenesis
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer

Papers in

    • Single-cell and spatial transcriptomics 1
    • Acne and Rosacea Treatments and Effects 2
    • Dermatology and Skin Diseases 2

Tran Do

7 papers receiving 296 citations

Peers

Tran Do
Comparison fields: 5 of 52
  • Dermatology 76
  • Immunology 112
  • Microbiology 17
  • Infectious Diseases 37
  • Molecular Biology 123
Replace Luca D. Meesters with:
Luca D. Meesters Netherlands
Daniela Ortner Austria
Effie Mouhtouris Australia
Sue Kyung Kim South Korea
Lori Spencer United States
Volker Streit Germany
Marc A. Hogenbirk Netherlands
Noriaki Nakai Japan
Marcella Willemsen Netherlands
Anna Bas Sweden
Tran Do relative to Luca D. Meesters Netherlands Luca D. Meesters's profile →
Citations per field
00.5×4.3×
Luca D. Meesters · 1×
Citations per year

Countries citing papers authored by Tran Do

Since Specialization
Citations

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

Fields of papers citing papers by Tran Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tran Do, 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 Tran Do Line = papers co-authored together Tran Do links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2020156
2 202166
3 202250
4 202215
5 202311
6 20222
7 20212

About Tran Do

Tran Do is a scholar working on Molecular Biology, Dermatology, Cell Biology, Microbiology and Immunology, having authored 7 papers that have together received 302 indexed citations. Recurring topics across this work include Acne and Rosacea Treatments and Effects (2 papers), Antimicrobial Peptides and Activities (2 papers), Dermatology and Skin Diseases (2 papers), melanin and skin pigmentation (2 papers), Immunotherapy and Immune Responses (1 paper), T-cell and B-cell Immunology (1 paper), Psoriasis: Treatment and Pathogenesis (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Dermatology (76 citations), Immunology (112 citations), Microbiology (17 citations), Infectious Diseases (37 citations) and Molecular Biology (123 citations). Tran Do has collaborated with scholars based in United States and Brazil. Frequent co-authors include Jóhann E. Guðjónsson, Robert L. Modlin, Alex K. Shalek, Priscila R. Andrade, Feiyang Ma, Marc H. Wadsworth, Bruno Jorge de Andrade Silva, Lam C. Tsoi, José Ordovás-Montañés and J. Christopher Love. Their work appears in journals such as Journal of Dermatological Treatment, Science Translational Medicine, Journal of Investigative Dermatology, Nature Immunology and Immunity.

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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