Wendy Tu
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
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- Adrenal and Paraganglionic Tumors
- Bladder and Urothelial Cancer Treatments
- Urinary and Genital Oncology Studies
Papers in
- Surgery 10
- Adrenal and Paraganglionic Tumors 6
- Co-authors
- Nicola Schieda (10 shared papers)Matthew D. F. McInnes (4 shared papers)Andrew D. Chung (1 shared paper)Christopher S. Lim (1 shared paper)Christian B. van der Pol (1 shared paper)Jorge Abreu‐Gomez (3 shared papers)Satheesh Krishna (2 shared papers)Ravi V. Gottumukkala (3 shared papers)
- Journals
- Abdominal Radiology (4 papers)Radiographics (3 papers)American Journal of Roentgenology (3 papers)European Radiology (2 papers)Urology (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Wendy Tu
19 papers receiving 177 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 69
- Surgery 91
- Cancer Research 22
- Endocrinology, Diabetes and Metabolism 23
- Hepatology 10
Countries citing papers authored by Wendy Tu
This map shows the geographic impact of Wendy Tu'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 Wendy Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wendy Tu more than expected).
Fields of papers citing papers by Wendy Tu
This network shows the impact of papers produced by Wendy Tu. 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 Wendy Tu. The network helps show where Wendy Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wendy Tu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2020 | 23 | |
| 3 | 2018 | 21 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 10 | |
| 7 | 2018 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2019 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2019 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 0 |
About Wendy Tu
Wendy Tu is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 22 papers that have together received 177 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Hormonal Regulation and Hypertension (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Prostate Cancer Treatment and Research (3 papers) and Urologic and reproductive health conditions (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (69 citations), Surgery (91 citations), Cancer Research (22 citations), Endocrinology, Diabetes and Metabolism (23 citations) and Hepatology (10 citations). Wendy Tu has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Nicola Schieda, Matthew D. F. McInnes, Andrew D. Chung, Christopher S. Lim, Christian B. van der Pol, Jorge Abreu‐Gomez, Satheesh Krishna, Ravi V. Gottumukkala, Trevor A. Flood and Mitchell P. Wilson. Their work appears in journals such as Abdominal Radiology, Radiographics, American Journal of Roentgenology, European Radiology and Urology.
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.