David Tran

6.1k citations
39 papers · 1.4k indexed · h-index 20

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

David Tran

38 papers receiving 1.4k citations

Peers

David Tran
Comparison fields: 5 of 89
  • Genetics 568
  • Oncology 485
  • Cancer Research 255
  • Cell Biology 148
  • Structural Biology 12
Replace An Claes with:
An Claes Netherlands
Lucie Karayan‐Tapon France
Lori Frederick United States
Christopher E. Pelloski United States
Elizabeth Cohen‐Jonathan Moyal France
Nathalie Baeza France
Sergey Popov United Kingdom
Kelly Burrell Canada
Elena I. Fomchenko United States
Christine Dictus Germany
David Tran relative to An Claes Netherlands An Claes's profile →
Citations per field
00.5×1.5×1.9×
An Claes · 1×
Citations per year

Countries citing papers authored by David Tran

Since Specialization
Citations

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

Fields of papers citing papers by David Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20222
4 20219
5 201954
6 201845
7 201812
8 201827
9 201619
10 201523
11 201524
12 201582
13 201588
14 2014184
15 201447
16 2014119
17 201316
18 2011136
19 200837
20 200531

About David Tran

David Tran is a scholar working on Genetics, Structural Biology, Biotechnology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (24 papers), Brain Metastases and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Research and Treatments (5 papers), Signaling Pathways in Disease (4 papers), Meningioma and schwannoma management (4 papers), Cancer Genomics and Diagnostics (3 papers) and Vascular Malformations Diagnosis and Treatment (3 papers). The work is most often cited by research in Genetics (568 citations), Oncology (485 citations), Cancer Research (255 citations), Cell Biology (148 citations) and Structural Biology (12 citations). David Tran has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Gregory D. Longmore, Krishna Luitel, Kun Zhang, Michael Kim, Hung D. Tran, Albert H. Kim, Hirak Biswas, Jiayi Huang, Rebecca Aft and Callie A.S. Corsa. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Neuro-Oncology and Seminars in 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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