William T. Tran
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
- Health Informatics top 5%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 22
- Effects of Radiation Exposure 10
- Ultrasound Imaging and Elastography 8
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- Breast Cancer Treatment Studies 11
- Co-authors
- Gregory Jan Czarnota (30 shared papers)Ali Sadeghi Naini (31 shared papers)Lakshmanan Sannachi (22 shared papers)Hadi Tadayyon (15 shared papers)Sonal G. Gandhi (17 shared papers)Anoja Giles (9 shared papers)Gregory Jan Czarnota (13 shared papers)Azza Al‐Mahrouki (11 shared papers)
- Journals
- Scientific Reports (7 papers)Oncotarget (7 papers)npj Breast Cancer (4 papers)Translational Oncology (4 papers)PLoS ONE (4 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
William T. Tran
92 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 1.0k
- Health Informatics 52
- Cancer Research 399
- Oncology 478
- Biomedical Engineering 690
Countries citing papers authored by William T. Tran
This map shows the geographic impact of William T. 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 William T. Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Tran more than expected).
Fields of papers citing papers by William T. Tran
This network shows the impact of papers produced by William T. 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 William T. Tran. The network helps show where William T. Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside William T. 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 193 | |
| 2 | 2020 | 177 | |
| 3 | 2012 | 173 | |
| 4 | 2020 | 156 | |
| 5 | 2020 | 126 | |
| 6 | 2014 | 101 | |
| 7 | 2019 | 72 | |
| 8 | 2007 | 65 | |
| 9 | 2012 | 62 | |
| 10 | 2020 | 61 | |
| 11 | 2017 | 60 | |
| 12 | 2021 | 58 | |
| 13 | 2013 | 57 | |
| 14 | 2020 | 56 | |
| 15 | 2016 | 55 | |
| 16 | 2017 | 51 | |
| 17 | 2014 | 50 | |
| 18 | 2020 | 47 | |
| 19 | 2017 | 46 | |
| 20 | 2017 | 44 |
About William T. Tran
William T. Tran is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Biomedical Engineering, Artificial Intelligence and Oncology, having authored 97 papers that have together received 2.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), Ultrasound and Hyperthermia Applications (20 papers), AI in cancer detection (14 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Breast Cancer Treatment Studies (11 papers), Effects of Radiation Exposure (10 papers), Ultrasound Imaging and Elastography (8 papers) and Cancer Immunotherapy and Biomarkers (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Health Informatics (52 citations), Cancer Research (399 citations), Oncology (478 citations) and Biomedical Engineering (690 citations). William T. Tran has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Gregory Jan Czarnota, Ali Sadeghi Naini, Lakshmanan Sannachi, Hadi Tadayyon, Sonal G. Gandhi, Anoja Giles, Gregory Jan Czarnota, Azza Al‐Mahrouki, Frances Catriona Wright and Ahmed El Kaffas. Their work appears in journals such as Scientific Reports, Oncotarget, npj Breast Cancer, Translational Oncology and PLoS ONE.
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.