David Tran

6.3k citations
40 papers · 1.6k · h-index 22

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

David Tran

39 papers receiving 1.6k citations

Peers

David Tran
Comparison fields: 5 of 84
  • Genetics 553
  • Oncology 462
  • Cancer Research 211
  • Immunology 193
  • Cell Biology 139
Replace Satoru Osuka with:
Satoru Osuka Japan
An Claes Netherlands
Cécile L. Maire Germany
Daniel Stieber Luxembourg
Christine Dictus Germany
Tali Voloshin Israel
Nathalie Baeza France
D D Bigner United States
Sergey Popov United Kingdom
Lori Frederick United States
David Tran relative to Satoru Osuka Japan Satoru Osuka's profile →
Citations per field
00.5×2.5×
Satoru Osuka · 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

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014191
2 2011140
3 2014129
4
Tumor Treating Fields dually activate STING and AIM2 inflammasomes to induce adjuvant immunity in glioblastoma
202293
5 201493
6 201589
7 201582
8 201672
9 201560
10 200359
11 201958
12 201450
13 201845
14 201644
15 200838
16 200532
17 201829
18 201327
19 201524
20 201524

About David Tran

David Tran is a scholar working on Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Neurology and Oncology, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (21 papers), Signaling Pathways in Disease (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Research and Treatments (4 papers), Brain Metastases and Treatment (3 papers), Microtubule and mitosis dynamics (2 papers), Cancer Genomics and Diagnostics (2 papers) and Meningioma and schwannoma management (2 papers). The work is most often cited by research in Genetics (553 citations), Oncology (462 citations), Cancer Research (211 citations), Immunology (193 citations) and Cell Biology (139 citations). David Tran has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Gregory D. Longmore, Kun Zhang, Hung D. Tran, Krishna Luitel, Michael Kim, Albert H. Kim, Rebecca Aft, Hirak Biswas, Callie A.S. Corsa and Jiayi Huang. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Journal of Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics 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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