T Wong
Impact in
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
Papers in
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- Breast Lesions and Carcinomas 6
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- MRI in cancer diagnosis 6
- Ultrasound Imaging and Elastography 2
- Co-authors
- Gladys Lo (3 shared papers)Polly S. Y. Cheung (4 shared papers)Paul R. Epstein (1 shared paper)Tim Ford (1 shared paper)Sarah E. Henrickson (1 shared paper)Paul Allen (1 shared paper)Victor Ai (1 shared paper)Daisy Chien (1 shared paper)
- Journals
- World Journal of Surgery (3 papers)Clinical Radiology (2 papers)Clinical Breast Cancer (1 paper)Molecular Imaging and Biology (1 paper)British Journal of Radiology (1 paper)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
T Wong
31 papers receiving 461 citations
Peers
Comparison fields: 5 of 77
- Obstetrics and Gynecology 46
- Radiology, Nuclear Medicine and Imaging 128
- Cancer Research 73
- Pathology and Forensic Medicine 54
- Reproductive Medicine 19
Countries citing papers authored by T Wong
This map shows the geographic impact of T Wong'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 T Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Wong more than expected).
Fields of papers citing papers by T Wong
This network shows the impact of papers produced by T Wong. 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 T Wong. The network helps show where T Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside T Wong, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 71 | |
| 2 | 2004 | 65 | |
| 3 | 2001 | 53 | |
| 4 | 2016 | 34 | |
| 5 | 2009 | 30 | |
| 6 | 2007 | 28 | |
| 7 | 2009 | 28 | |
| 8 | 2016 | 24 | |
| 9 | 2016 | 18 | |
| 10 | 2019 | 17 | |
| 11 | 2007 | 16 | |
| 12 | 2011 | 16 | |
| 13 | 1988 | 15 | |
| 14 | 2014 | 11 | |
| 15 | The impact of the decreased prevalence of smoking in Canada. | 1993 | 10 |
| 16 | 2020 | 6 | |
| 17 | 2012 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2017 | 5 | |
| 20 | 2022 | 5 |
About T Wong
T Wong is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology, Cancer Research and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 483 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (6 papers), Infective Endocarditis Diagnosis and Management (3 papers), Ultrasound Imaging and Elastography (2 papers), Streptococcal Infections and Treatments (2 papers), BRCA gene mutations in cancer (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Obstetrics and Gynecology (46 citations), Radiology, Nuclear Medicine and Imaging (128 citations), Cancer Research (73 citations), Pathology and Forensic Medicine (54 citations) and Reproductive Medicine (19 citations). T Wong has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Gladys Lo, Polly S. Y. Cheung, Paul R. Epstein, Tim Ford, Sarah E. Henrickson, Paul Allen, Victor Ai, Daisy Chien, John Chan and Ava Kwong. Their work appears in journals such as World Journal of Surgery, Clinical Radiology, Clinical Breast Cancer, Molecular Imaging and Biology and British Journal of Radiology.
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.