Tran Do
Impact in
- Dermatology top 10%
- Dermatology and Skin Diseases
- Acne and Rosacea Treatments and Effects
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- 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
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- Single-cell and spatial transcriptomics 1
- Advanced biosensing and bioanalysis techniques 1
- Biochemical and Structural Characterization 1
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- Dermatology and Skin Diseases 3
- Acne and Rosacea Treatments and Effects 2
- Co-authors
- Jóhann E. Guðjónsson (3 shared papers)Robert L. Modlin (4 shared papers)Lam C. Tsoi (2 shared papers)Priscila R. Andrade (2 shared papers)Bruno Jorge de Andrade Silva (2 shared papers)Alex K. Shalek (2 shared papers)Marc H. Wadsworth (2 shared papers)Feiyang Ma (2 shared papers)
- Journals
- Nature Immunology (1 paper)Science Translational Medicine (1 paper)Journal of Dermatological Treatment (1 paper)Angewandte Chemie International Edition (1 paper)Immunity (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
Tran Do
7 papers receiving 277 citations
Peers
Comparison fields: 5 of 57
- Dermatology 69
- Immunology 123
- Microbiology 16
- Infectious Diseases 36
- Molecular Biology 125
Countries citing papers authored by Tran Do
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 150 | |
| 2 | 2021 | 61 | |
| 3 | 2022 | 46 | |
| 4 | 2022 | 13 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 2 |
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 283 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (3 papers), Acne and Rosacea Treatments and Effects (2 papers), melanin and skin pigmentation (2 papers), Antimicrobial Peptides and Activities (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Leprosy Research and Treatment (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Dermatology (69 citations), Immunology (123 citations), Microbiology (16 citations), Infectious Diseases (36 citations) and Molecular Biology (125 citations). Tran Do has collaborated with scholars based in United States and Brazil. Frequent co-authors include Jóhann E. Guðjónsson, Robert L. Modlin, Lam C. Tsoi, Priscila R. Andrade, Bruno Jorge de Andrade Silva, Alex K. Shalek, Marc H. Wadsworth, Feiyang Ma, David I. Weiss and José Ordovás-Montañés. Their work appears in journals such as Nature Immunology, Science Translational Medicine, Journal of Dermatological Treatment, Angewandte Chemie International Edition 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.