Ralph Wynn
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- MRI in cancer diagnosis 10
- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 2
- Advanced MRI Techniques and Applications 2
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- Breast Cancer Treatment Studies 7
- Co-authors
- Richard Ha (22 shared papers)Victoria L. Mango (14 shared papers)Sheldon Feldman (4 shared papers)Lauren Friedlander (8 shared papers)Jenika Karcich (4 shared papers)Simukayi Mutasa (3 shared papers)Elise Desperito (7 shared papers)Michael Z. Liu (3 shared papers)
- Journals
- American Journal of Roentgenology (5 papers)Journal of Digital Imaging (3 papers)Radiology (2 papers)The Breast Journal (2 papers)ULTRASONOGRAPHY (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Ralph Wynn
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Cancer Research 287
- Radiology, Nuclear Medicine and Imaging 391
- Pathology and Forensic Medicine 286
- Health Informatics 21
- Artificial Intelligence 263
Countries citing papers authored by Ralph Wynn
This map shows the geographic impact of Ralph Wynn'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 Ralph Wynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Wynn more than expected).
Fields of papers citing papers by Ralph Wynn
This network shows the impact of papers produced by Ralph Wynn. 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 Ralph Wynn. The network helps show where Ralph Wynn may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralph Wynn, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 258 | |
| 2 | 2018 | 98 | |
| 3 | 2007 | 90 | |
| 4 | 2020 | 75 | |
| 5 | 2016 | 73 | |
| 6 | 2017 | 68 | |
| 7 | 2018 | 53 | |
| 8 | 2011 | 50 | |
| 9 | 2017 | 42 | |
| 10 | 2015 | 39 | |
| 11 | 1997 | 37 | |
| 12 | 2018 | 35 | |
| 13 | 2017 | 34 | |
| 14 | 2014 | 29 | |
| 15 | 2017 | 20 | |
| 16 | 2007 | 17 | |
| 17 | 2014 | 14 | |
| 18 | 2018 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2016 | 11 |
About Ralph Wynn
Ralph Wynn is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Digital Radiography and Breast Imaging (5 papers), AI in cancer detection (4 papers), Medical Imaging Techniques and Applications (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (287 citations), Radiology, Nuclear Medicine and Imaging (391 citations), Pathology and Forensic Medicine (286 citations), Health Informatics (21 citations) and Artificial Intelligence (263 citations). Ralph Wynn has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Richard Ha, Victoria L. Mango, Sheldon Feldman, Lauren Friedlander, Jenika Karcich, Simukayi Mutasa, Elise Desperito, Michael Z. Liu, Sachin Jambawalikar and Mary Sun. Their work appears in journals such as American Journal of Roentgenology, Journal of Digital Imaging, Radiology, The Breast Journal and ULTRASONOGRAPHY.
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.