William T. C. Yuh
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- MRI in cancer diagnosis 40
- Advanced MRI Techniques and Applications 38
- Radiomics and Machine Learning in Medical Imaging 33
- Advanced Neuroimaging Techniques and Applications 17
- Neurology top 0.5%
- Obstetrics and Gynecology top 0.5%
- Endometrial and Cervical Cancer Treatments 37
- Psychiatry and Mental health top 1%
- Cognitive Neuroscience top 1%
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- Glioma Diagnosis and Treatment 28
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- Acute Ischemic Stroke Management 21
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- Cerebrovascular and Carotid Artery Diseases 17
William T. C. Yuh
243 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Radiology, Nuclear Medicine and Imaging 3.8k
- Neurology 1.8k
- Obstetrics and Gynecology 911
- Psychiatry and Mental health 1.3k
- Cognitive Neuroscience 1.6k
Countries citing papers authored by William T. C. Yuh
This map shows the geographic impact of William T. C. Yuh'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. C. Yuh 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. C. Yuh more than expected).
Fields of papers citing papers by William T. C. Yuh
This network shows the impact of papers produced by William T. C. Yuh. 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. C. Yuh. The network helps show where William T. C. Yuh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William T. C. Yuh, 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 | 2020 | 7 | |
| 2 | 2019 | 11 | |
| 3 | 2017 | 87 | |
| 4 | 2015 | 4 | |
| 5 | 2010 | 94 | |
| 6 | 2007 | 37 | |
| 7 | 2006 | 52 | |
| 8 | 2001 | 39 | |
| 9 | Pixel analysis of MR perfusion imaging in predicting treatment outcome in cervical cancer | 1997 | 1 |
| 10 | 1996 | 282 | |
| 11 | 1995 | 7 | |
| 12 | MRI of head & neck anatomy | 1994 | 21 |
| 13 | 1992 | 4 | |
| 14 | 1992 | 17 | |
| 15 | 1990 | 99 | |
| 16 | 1989 | 0 | |
| 17 | 1989 | 23 | |
| 18 | Magnetic Resonance Imaging of Athletic Soft Tissue Injuries. | 1989 | 5 |
| 19 | 1988 | 3 | |
| 20 | 1988 | 4 |
About William T. C. Yuh
William T. C. Yuh is a scholar working on Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 249 papers that have together received 10.6k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (40 papers), Advanced MRI Techniques and Applications (38 papers), Endometrial and Cervical Cancer Treatments (37 papers), Radiomics and Machine Learning in Medical Imaging (33 papers), Glioma Diagnosis and Treatment (28 papers), Acute Ischemic Stroke Management (21 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.8k citations), Neurology (1.8k citations) and Obstetrics and Gynecology (911 citations). William T. C. Yuh has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include James C. Ehrhardt, Nancy C. Andreasen, Nina A. Mayr, Victor W. Swayze, Daniel S. OʼLeary, Yutaka Satō, Vincent A. Magnotta, Stephan Arndt, Randall Alliger and Ted Cizadlo. Their work appears in journals such as Science, New England Journal of Medicine and Journal of Clinical Oncology.
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.