David D. Tran
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Geriatrics and Gerontology top 10%
Papers in
- Co-authors
- Albert H. Kim (5 shared papers)Eric C. Leuthardt (8 shared papers)Ashley Ghiaseddin (15 shared papers)Jian Campian (8 shared papers)Kaitlyn Melnick (5 shared papers)Steven C. George (2 shared papers)Joshua S. Shimony (5 shared papers)Gavin P. Dunn (3 shared papers)
- Journals
- Neuro-Oncology (18 papers)PLoS ONE (4 papers)Journal of Neuro-Oncology (3 papers)Annals of Plastic Surgery (2 papers)Neurosurgical FOCUS (2 papers)
- Partner nations
- United StatesSwedenChina
In The Last Decade
David D. Tran
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Genetics 368
- Geriatrics and Gerontology 39
- Biomedical Engineering 432
- Oncology 189
- Cancer Research 101
Countries citing papers authored by David D. Tran
This map shows the geographic impact of David D. 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 D. 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 D. Tran more than expected).
Fields of papers citing papers by David D. Tran
This network shows the impact of papers produced by David D. 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 D. Tran. The network helps show where David D. Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside David D. Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 162 | |
| 2 | 2016 | 112 | |
| 3 | 2016 | 105 | |
| 4 | 2014 | 101 | |
| 5 | 2019 | 83 | |
| 6 | 2020 | 69 | |
| 7 | 2013 | 54 | |
| 8 | 2017 | 49 | |
| 9 | 2017 | 40 | |
| 10 | 2021 | 38 | |
| 11 | 2000 | 32 | |
| 12 | 2020 | 28 | |
| 13 | 2020 | 27 | |
| 14 | 2021 | 21 | |
| 15 | 2019 | 17 | |
| 16 | 2021 | 11 | |
| 17 | 2013 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2024 | 8 |
About David D. Tran
David D. Tran is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Molecular Biology, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Nanoplatforms for cancer theranostics (8 papers), Brain Metastases and Treatment (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), 3D Printing in Biomedical Research (6 papers), interferon and immune responses (6 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Genetics (368 citations), Geriatrics and Gerontology (39 citations), Biomedical Engineering (432 citations), Oncology (189 citations) and Cancer Research (101 citations). David D. Tran has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Albert H. Kim, Eric C. Leuthardt, Ashley Ghiaseddin, Jian Campian, Kaitlyn Melnick, Steven C. George, Joshua S. Shimony, Gavin P. Dunn, Ammar H. Hawasli and Michelle Miller‐Thomas. Their work appears in journals such as Neuro-Oncology, PLoS ONE, Journal of Neuro-Oncology, Annals of Plastic Surgery and Neurosurgical FOCUS.
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.