William T. C. Yuh
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Neurology top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Surgery top 2%
- Cognitive Neuroscience top 1%
- Co-authors
- James C. EhrhardtNancy C. AndreasenNina A. MayrVictor W. SwayzeDaniel S. OʼLearyYutaka SatōVincent A. MagnottaStephan Arndt
- Topics
- MRI in cancer diagnosis (40 papers)Advanced MRI Techniques and Applications (38 papers)Endometrial and Cervical Cancer Treatments (37 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
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
- Pulmonary and Respiratory Medicine 1.8k
- Surgery 1.8k
- 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 of co-authors of William T. C. Yuh
This figure shows the co-authorship network connecting the top 25 collaborators of William T. C. Yuh. A scholar is included among the top collaborators of William T. C. Yuh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William T. C. Yuh. William T. C. Yuh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 11 | |
| 3 | 87 | |
| 4 | 4 | |
| 5 | 94 | |
| 6 | 37 | |
| 7 | 52 | |
| 8 | 39 | |
| 9 | Pixel analysis of MR perfusion imaging in predicting treatment outcome in cervical cancer | 1 |
| 10 | 282 | |
| 11 | 7 | |
| 12 | MRI of head & neck anatomy | 21 |
| 13 | 4 | |
| 14 | 17 | |
| 15 | 99 | |
| 16 | 0 | |
| 17 | 23 | |
| 18 | Magnetic Resonance Imaging of Athletic Soft Tissue Injuries. | 5 |
| 19 | 3 | |
| 20 | 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) and Endometrial and Cervical Cancer Treatments (37 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.