Duc Tran
Impact in
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- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
Papers in
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- Acute Myeloid Leukemia Research 8
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- Single-cell and spatial transcriptomics 9
- Bioinformatics and Genomic Networks 6
- Gene Regulatory Network Analysis 3
- Genomics and Chromatin Dynamics 3
- Gene expression and cancer classification 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Tin Nguyen (16 shared papers)Hung Nguyen (13 shared papers)Bang Tran (8 shared papers)Sorin Drăghici (5 shared papers)Hung Nguyen Luu (2 shared papers)Carlo La Vecchia (1 shared paper)Adib Shafi (1 shared paper)Shilpa J Rao (1 shared paper)
- Journals
- Scientific Reports (3 papers)Nucleic Acids Research (2 papers)Nature Communications (2 papers)Frontiers in Oncology (2 papers)Nature Genetics (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Duc Tran
25 papers receiving 541 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 436
- Aging 5
- Cancer Research 20
- Hematology 19
- Health Informatics 2
Countries citing papers authored by Duc Tran
This map shows the geographic impact of Duc 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 Duc Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc Tran more than expected).
Fields of papers citing papers by Duc Tran
This network shows the impact of papers produced by Duc 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 Duc Tran. The network helps show where Duc Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Duc Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2021 | 101 | |
| 3 | 2023 | 56 | |
| 4 | 2019 | 40 | |
| 5 | 2024 | 39 | |
| 6 | 2021 | 28 | |
| 7 | 2020 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2024 | 18 | |
| 10 | 2020 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2025 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 6 |
About Duc Tran
Duc Tran is a scholar working on Hematology, Molecular Biology, Cancer Research, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 545 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Acute Myeloid Leukemia Research (8 papers), Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (3 papers), Genomics and Chromatin Dynamics (3 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (436 citations), Aging (5 citations), Cancer Research (20 citations), Hematology (19 citations) and Health Informatics (2 citations). Duc Tran has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Tin Nguyen, Hung Nguyen, Bang Tran, Sorin Drăghici, Hung Nguyen Luu, Carlo La Vecchia, Adib Shafi, Shilpa J Rao, Crystal M. Han and Can Cenik. Their work appears in journals such as Scientific Reports, Nucleic Acids Research, Nature Communications, Frontiers in Oncology and Nature Genetics.
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.