David Tran

6.1k total citations
39 papers, 1.4k citations indexed

About

David Tran is a scholar working on Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Tran has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 11 papers in Molecular Biology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Tran's work include Glioma Diagnosis and Treatment (24 papers), Brain Metastases and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). David Tran is often cited by papers focused on Glioma Diagnosis and Treatment (24 papers), Brain Metastases and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). David Tran collaborates with scholars based in United States, Australia and Canada. David Tran's co-authors include Gregory D. Longmore, Hung D. Tran, Kun Zhang, Michael Kim, Krishna Luitel, Albert H. Kim, Rebecca Aft, Hirak Biswas, Jiayi Huang and Callie A.S. Corsa and has published in prestigious journals such as Journal of Clinical Oncology, Immunity and Cancer.

In The Last Decade

David Tran

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Tran United States 20 568 528 485 255 253 39 1.4k
An Claes Netherlands 13 503 0.9× 548 1.0× 354 0.7× 275 1.1× 253 1.0× 17 1.3k
Akio Soeda Japan 15 498 0.9× 560 1.1× 564 1.2× 456 1.8× 334 1.3× 24 1.7k
Sergey Popov United Kingdom 20 358 0.6× 825 1.6× 316 0.7× 349 1.4× 202 0.8× 48 1.5k
Koichi Yoshikawa Japan 14 472 0.8× 601 1.1× 518 1.1× 267 1.0× 499 2.0× 45 1.7k
Elizabeth Cohen‐Jonathan‐Moyal France 14 558 1.0× 519 1.0× 217 0.4× 337 1.3× 202 0.8× 25 1.2k
Koos E. Hovinga Netherlands 11 606 1.1× 762 1.4× 659 1.4× 539 2.1× 154 0.6× 25 1.5k
Elizabeth Cohen‐Jonathan Moyal France 17 508 0.9× 328 0.6× 306 0.6× 195 0.8× 255 1.0× 50 1.1k
Tali Voloshin Israel 19 495 0.9× 490 0.9× 404 0.8× 199 0.8× 232 0.9× 79 1.4k
Bodour Salhia United States 26 296 0.5× 914 1.7× 580 1.2× 483 1.9× 358 1.4× 69 2.0k
Kelly Burrell Canada 18 398 0.7× 803 1.5× 191 0.4× 254 1.0× 133 0.5× 26 1.5k

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-authorship network of co-authors of David Tran

This figure shows the co-authorship network connecting the top 25 collaborators of David Tran. A scholar is included among the top collaborators of David Tran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Tran. David Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Tran, David, et al.. (2023). Electroconvulsive Therapy in Patients With Cerebral Aneurysms. Journal of Ect. 39(4). 220–226. 2 indexed citations
3.
Melnick, Kaitlyn, Patricia Miller, Yu Wang, et al.. (2022). Histologic Findings at the Time of Repeat Resection Predicts Survival in Patients with Glioblastoma. World Neurosurgery. 168. e451–e459. 2 indexed citations
4.
5.
6.
Huang, Jiayi, Jian Campian, Amit D. Gujar, et al.. (2018). Final results of a phase I dose-escalation, dose-expansion study of adding disulfiram with or without copper to adjuvant temozolomide for newly diagnosed glioblastoma. Journal of Neuro-Oncology. 138(1). 105–111. 45 indexed citations
7.
Peereboom, David M., Burt Nabors, Priya Kumthekar, et al.. (2018). Phase 2 trial of SL-701 in relapsed/refractory (r/r) glioblastoma (GBM): Correlation of immune response with longer-term survival.. Journal of Clinical Oncology. 36(15_suppl). 2058–2058. 12 indexed citations
8.
Otton, James, Lois Holloway, Geoff P. Delaney, et al.. (2018). Quantification of cardiac subvolume dosimetry using a 17 segment model of the left ventricle in breast cancer patients receiving tangential beam radiotherapy. Radiotherapy and Oncology. 132. 257–265. 27 indexed citations
9.
Ansstas, George & David Tran. (2016). Treatment with Tumor-Treating Fields Therapy and Pulse Dose Bevacizumab in Patients with Bevacizumab-Refractory Recurrent Glioblastoma: A Case Series. Case Reports in Neurology. 8(1). 1–9. 19 indexed citations
10.
Vlassenko, Andrei G., Jonathan McConathy, Lars E. Couture, et al.. (2015). Aerobic Glycolysis as a Marker of Tumor Aggressiveness: Preliminary Data in High Grade Human Brain Tumors. Disease Markers. 2015. 1–11. 23 indexed citations
11.
Speirs, Christina K., Joseph R. Simpson, Clifford G. Robinson, et al.. (2015). Impact of 1p/19q Codeletion and Histology on Outcomes of Anaplastic Gliomas Treated With Radiation Therapy and Temozolomide. International Journal of Radiation Oncology*Biology*Physics. 91(2). 268–276. 24 indexed citations
12.
Huang, Jiayi, T.A. DeWees, Shahed N. Badiyan, et al.. (2015). Clinical and Dosimetric Predictors of Acute Severe Lymphopenia During Radiation Therapy and Concurrent Temozolomide for High-Grade Glioma. International Journal of Radiation Oncology*Biology*Physics. 92(5). 1000–1007. 82 indexed citations
13.
Tran, Hung D., Krishna Luitel, Michael Kim, et al.. (2014). Transient SNAIL1 Expression Is Necessary for Metastatic Competence in Breast Cancer. Cancer Research. 74(21). 6330–6340. 184 indexed citations
14.
Badiyan, Shahed N., Stephanie Markovina, Joseph R. Simpson, et al.. (2014). Radiation Therapy Dose Escalation for Glioblastoma Multiforme in the Era of Temozolomide. International Journal of Radiation Oncology*Biology*Physics. 90(4). 877–885. 47 indexed citations
15.
Mrugała, Maciej M., Herbert H. Engelhard, David Tran, et al.. (2014). Clinical Practice Experience With NovoTTF-100A™ System for Glioblastoma: The Patient Registry Dataset (PRiDe). Seminars in Oncology. 41. S4–S13. 119 indexed citations
16.
Lin, Andrew, Jingxia Liu, J.G. Evans, et al.. (2013). Codeletions at 1p and 19q predict a lower risk of pseudoprogression in oligodendrogliomas and mixed oligoastrocytomas. Neuro-Oncology. 16(1). 123–130. 16 indexed citations
17.
Tran, David, Callie A.S. Corsa, Hirak Biswas, Rebecca Aft, & Gregory D. Longmore. (2011). Temporal and Spatial Cooperation of Snail1 and Twist1 during Epithelial–Mesenchymal Transition Predicts for Human Breast Cancer Recurrence. Molecular Cancer Research. 9(12). 1644–1657. 136 indexed citations
18.
Liu, Yu, Liviu Malureanu, Karthik B. Jeganathan, et al.. (2009). CAML loss causes anaphase failure and chromosome missegregation. Cell Cycle. 8(6). 940–949. 17 indexed citations
19.
Xu, Yuan, Jun Yao, David Tran, et al.. (2008). Calcium-modulating cyclophilin ligand regulates membrane trafficking of postsynaptic GABAA receptors. Molecular and Cellular Neuroscience. 38(2). 277–289. 37 indexed citations
20.
Tran, David, Karin L. Heckman, Shari L. Sutor, et al.. (2005). CAML Is a p56Lck-Interacting Protein that Is Required for Thymocyte Development. Immunity. 23(2). 139–152. 31 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by An Claes Breakdown of academic impact, for papers by Akio Soeda Breakdown of academic impact, for papers by Sergey Popov Breakdown of academic impact, for papers by Koichi Yoshikawa Breakdown of academic impact, for papers by Elizabeth Cohen‐Jonathan‐Moyal Breakdown of academic impact, for papers by Koos E. Hovinga Breakdown of academic impact, for papers by Elizabeth Cohen‐Jonathan Moyal Breakdown of academic impact, for papers by Tali Voloshin Breakdown of academic impact, for papers by Bodour Salhia Breakdown of academic impact, for papers by Kelly Burrell
Rankless by CCL
2026