W. P. Evans
Impact in
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas
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- Breast Cancer Treatment Studies
Papers in
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- Breast Lesions and Carcinomas 4
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- AI in cancer detection 2
- Co-authors
- Debra S. Copit (1 shared paper)D P Flamig (2 shared papers)L W Bassett (3 shared papers)David P. Winchester (1 shared paper)Donald E. Henson (1 shared paper)R. V. P. Hutter (1 shared paper)M. Zinninger (1 shared paper)S. Eva Singletary (1 shared paper)
- Journals
- International Journal of Gynecology & Obstetrics (2 papers)American Journal of Roentgenology (1 paper)CA A Cancer Journal for Clinicians (1 paper)Southern Medical Journal (1 paper)Baylor University Medical Center Proceedings (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
W. P. Evans
8 papers receiving 248 citations
Peers
Comparison fields: 5 of 34
- Pathology and Forensic Medicine 150
- Cancer Research 95
- Radiology, Nuclear Medicine and Imaging 99
- Dermatology 26
- Oncology 22
Countries citing papers authored by W. P. Evans
This map shows the geographic impact of W. P. Evans'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 W. P. Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. P. Evans more than expected).
Fields of papers citing papers by W. P. Evans
This network shows the impact of papers produced by W. P. Evans. 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 W. P. Evans. The network helps show where W. P. Evans may publish in the future.
Co-authors
The 25 scholars most cited alongside W. P. Evans, 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 | 1996 | 131 | |
| 2 | 1997 | 103 | |
| 3 | Appropriate imaging work-up of breast microcalcifications. American College of Radiology. ACR Appropriateness Criteria. | 2000 | 8 |
| 4 | 1991 | 7 | |
| 5 | 1993 | 6 | |
| 6 | Work-up of nonpalpable breast masses. American College of Radiology. ACR Appropriateness Criteria. | 2000 | 2 |
| 7 | 1987 | 2 | |
| 8 | Recovering lines with fixed linear probes | 1998 | 1 |
| 9 | 1992 | 1 |
About W. P. Evans
W. P. Evans is a scholar working on Pathology and Forensic Medicine, Artificial Intelligence, Genetics, Cancer Research and Health, having authored 9 papers that have together received 261 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (4 papers), Breast Cancer Treatment Studies (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Hypothalamic control of reproductive hormones (1 paper), Estrogen and related hormone effects (1 paper), Electrical Contact Performance and Analysis (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (150 citations), Cancer Research (95 citations), Radiology, Nuclear Medicine and Imaging (99 citations), Dermatology (26 citations) and Oncology (22 citations). W. P. Evans has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Debra S. Copit, D P Flamig, L W Bassett, David P. Winchester, Donald E. Henson, R. V. P. Hutter, M. Zinninger, S. Eva Singletary, Monica Morrow and D. David Dershaw. Their work appears in journals such as International Journal of Gynecology & Obstetrics, American Journal of Roentgenology, CA A Cancer Journal for Clinicians, Southern Medical Journal and Baylor University Medical Center Proceedings.
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.