Tu Tran
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
- Radiation top 10%
- Advanced Radiotherapy Techniques
Papers in
-
- Single-cell and spatial transcriptomics 2
- Gene expression and cancer classification 1
- Oncology 2
- Vascular Tumors and Angiosarcomas 1
- Co-authors
- David Hodgson (3 shared papers)Eng‐Siew Koh (3 shared papers)Melania Pintilie (3 shared papers)Richard Tsang (3 shared papers)David J. Brenner (2 shared papers)Tony Xu (2 shared papers)Rainer K. Sachs (2 shared papers)M. Heydarian (2 shared papers)
- Journals
- The American Surgeon (1 paper)Journal of Surgical Oncology (1 paper)Nature Methods (1 paper)Radiation Oncology (1 paper)Journal of Surgical Research (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Tu Tran
8 papers receiving 305 citations
Tu Tran's Hit Papers
Peers
Comparison fields: 5 of 37
- Pathology and Forensic Medicine 134
- Radiation 50
- Radiology, Nuclear Medicine and Imaging 67
- Neurology 32
- Cancer Research 28
Countries citing papers authored by Tu Tran
This map shows the geographic impact of Tu 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 Tu Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tu Tran more than expected).
Fields of papers citing papers by Tu Tran
This network shows the impact of papers produced by Tu 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 Tu Tran. The network helps show where Tu Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Tu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 122 | |
| 2 | 2007 | 106 | |
| 3 | 2006 | 50 | |
| 4 | A visual–omics foundation model to bridge histopathology with spatial transcriptomics Hit paper breakdown → | 2025 | 25 |
| 5 | 2011 | 7 | |
| 6 | 2025 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 0 |
About Tu Tran
Tu Tran is a scholar working on Molecular Biology, Oncology, Biophysics, Surgery and Pathology and Forensic Medicine, having authored 9 papers that have together received 317 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Brain Metastases and Treatment (1 paper), Vascular Tumors and Angiosarcomas (1 paper), Breast Cancer Treatment Studies (1 paper), Meningioma and schwannoma management (1 paper), Gene expression and cancer classification (1 paper) and Breast Implant and Reconstruction (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (134 citations), Radiation (50 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Neurology (32 citations) and Cancer Research (28 citations). Tu Tran has collaborated with scholars based in United States and Canada. Frequent co-authors include David Hodgson, Eng‐Siew Koh, Melania Pintilie, Richard Tsang, David J. Brenner, Tony Xu, Rainer K. Sachs, M. Heydarian, June Key Chung and Narinder Paul. Their work appears in journals such as The American Surgeon, Journal of Surgical Oncology, Nature Methods, Radiation Oncology and Journal of Surgical Research.
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.