Bang Tran

527 citations
14 papers · 282 · h-index 7

Impact in

Papers in

    • Gene expression and cancer classification 6
    • Single-cell and spatial transcriptomics 6
    • Bioinformatics and Genomic Networks 4
    • Gene Regulatory Network Analysis 3
    • Extracellular vesicles in disease 3
    • Cancer-related molecular mechanisms research 2

Bang Tran

13 papers receiving 280 citations

Peers

Bang Tran
Comparison fields: 5 of 57
  • Biophysics 39
  • Earth-Surface Processes 24
  • Molecular Biology 216
  • Cancer Research 33
  • Health Informatics 1
Replace Sean Williams with:
Sean Williams United States
Laurent Lucas France
Tina Smets Belgium
Erika P. Portero United States
Yuzhou Feng China
Kai Cao China
Katja Ovchinnikova Germany
Laura F. Grice Australia
Dongyuan Song United States
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Bang Tran relative to Sean Williams United States Sean Williams's profile →
Citations per field
00.5×10×16.5×
Sean Williams · 1×
Citations per year

Countries citing papers authored by Bang Tran

Since Specialization
Citations

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

Fields of papers citing papers by Bang Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Bang 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 Bang Tran Line = papers co-authored together Bang Tran links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2020101
2 202190
3 202226
4 202215
5 202412
6 20228
7 20207
8 20216
9 20226
10 20194
11 20243
12 20203
13 20211
14 20250

About Bang Tran

Bang Tran is a scholar working on Molecular Biology, Cancer Research, Ecology, Earth-Surface Processes and Civil and Structural Engineering, having authored 14 papers that have together received 282 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Single-cell and spatial transcriptomics (6 papers), Bioinformatics and Genomic Networks (4 papers), Gene Regulatory Network Analysis (3 papers), Extracellular vesicles in disease (3 papers), Aeolian processes and effects (2 papers), Cancer-related molecular mechanisms research (2 papers) and Coastal and Marine Dynamics (2 papers). The work is most often cited by research in Biophysics (39 citations), Earth-Surface Processes (24 citations), Molecular Biology (216 citations), Cancer Research (33 citations) and Health Informatics (1 citation). Bang Tran has collaborated with scholars based in United States, Vietnam and Thailand. Frequent co-authors include Hung Nguyen, Tin Nguyen, Duc Tran, Hung N. Luu, Carlo La Vecchia, Quyen Nguyen, Ahad Hasan Tanim, Ha Nam Nguyen, David P. Wright and Seungil Ro. Their work appears in journals such as Scientific Reports, Briefings in Bioinformatics, Nature Communications, Frontiers in Oncology and Estuarine Coastal and Shelf Science.

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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