Duc Tran

1.4k citations
27 papers · 683 · h-index 12

Impact in

Papers in

    • Single-cell and spatial transcriptomics 7
    • Gene expression and cancer classification 6
    • Bioinformatics and Genomic Networks 6
    • Photosynthetic Processes and Mechanisms 3
    • RNA Research and Splicing 3
    • Extracellular vesicles in disease 3
    • Cancer Genomics and Diagnostics 2

Duc Tran

26 papers receiving 679 citations

Peers

Duc Tran
Comparison fields: 5 of 86
  • Renewable Energy, Sustainability and the Environment 197
  • Biophysics 49
  • Biochemistry 48
  • Molecular Biology 511
  • Cancer Research 58
Replace Claudio Forcato with:
Claudio Forcato Italy
Holger Fey United States
Zairen Sun United States
An D United States
Sara Burmester Germany
Xiaosen Jiang China
Jingkui Chen Canada
Heather Shinogle United States
Alexandra Gabashvili Israel
Duc Tran relative to Claudio Forcato Italy Claudio Forcato's profile →
Citations per field
00.5×12.3×
Claudio Forcato · 1×
Citations per year

Countries citing papers authored by Duc Tran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020101
2 202190
3 201183
4 201076
5 201774
6 202349
7 200841
8 201934
9 202426
10 202122
11 202215
12 202013
13 202310
14 20228
15 20196
16 20216
17 20244
18 20244
19 20224
20 20194

About Duc Tran

Duc Tran is a scholar working on Molecular Biology, Cancer Research, Renewable Energy, Sustainability and the Environment, Pulmonary and Respiratory Medicine and Oncology, having authored 27 papers that have together received 683 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (6 papers), Algal biology and biofuel production (3 papers), Photosynthetic Processes and Mechanisms (3 papers), RNA Research and Splicing (3 papers), Extracellular vesicles in disease (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (197 citations), Biophysics (49 citations), Biochemistry (48 citations), Molecular Biology (511 citations) and Cancer Research (58 citations). Duc Tran has collaborated with scholars based in United States, Portugal and Italy. Frequent co-authors include Tin Nguyen, Hung Nguyen, Bang Tran, John C. Cushman, Jürgen E.W. Polle, EonSeon Jin, Jon Magnuson, Hung N. Luu, Sorin Drăghici and Carlo La Vecchia. Their work appears in journals such as Scientific Reports, Nucleic Acids Research, Blood, Frontiers in Oncology and Journal of Clinical Oncology.

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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