Ryan W. Woods
Impact in
- Clinical Psychology top 10%
- Child Abuse and Trauma
Papers in
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- AI in cancer detection 10
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- Digital Radiography and Breast Imaging 9
- Co-authors
- Elizabeth S. Burnside (17 shared papers)Susan C. Harvey (6 shared papers)Oğuzhan Alagöz (2 shared papers)Jagpreet Chhatwal (1 shared paper)Charles E. Kahn (1 shared paper)Turgay Ayer (1 shared paper)Deborah A. Frank (3 shared papers)Howard Cabral (3 shared papers)
- Journals
- Academic Radiology (8 papers)Radiographics (5 papers)Journal of Digital Imaging (3 papers)Journal of the American College of Radiology (3 papers)Development and Psychopathology (2 papers)
- Partner nations
- United StatesPortugalTunisia
In The Last Decade
Ryan W. Woods
42 papers receiving 684 citations
Peers
Comparison fields: 5 of 106
- Health Information Management 25
- Clinical Psychology 110
- Radiology, Nuclear Medicine and Imaging 105
- Cancer Research 68
- Health Informatics 6
Countries citing papers authored by Ryan W. Woods
This map shows the geographic impact of Ryan W. Woods'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 Ryan W. Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan W. Woods more than expected).
Fields of papers citing papers by Ryan W. Woods
This network shows the impact of papers produced by Ryan W. Woods. 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 Ryan W. Woods. The network helps show where Ryan W. Woods may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan W. Woods, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 143 | |
| 2 | 2008 | 69 | |
| 3 | 2007 | 67 | |
| 4 | 2009 | 49 | |
| 5 | 2017 | 47 | |
| 6 | 2018 | 42 | |
| 7 | 2010 | 41 | |
| 8 | 2018 | 23 | |
| 9 | 2013 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2023 | 18 | |
| 12 | 2008 | 17 | |
| 13 | 2009 | 13 | |
| 14 | 2018 | 11 | |
| 15 | 2018 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2014 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2015 | 8 |
About Ryan W. Woods
Ryan W. Woods is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 46 papers that have together received 713 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Digital Radiography and Breast Imaging (9 papers), Breast Lesions and Carcinomas (6 papers), Global Cancer Incidence and Screening (6 papers), Biomedical Text Mining and Ontologies (5 papers), Radiology practices and education (4 papers), Gene expression and cancer classification (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Health Information Management (25 citations), Clinical Psychology (110 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Cancer Research (68 citations) and Health Informatics (6 citations). Ryan W. Woods has collaborated with scholars based in United States, Portugal and Tunisia. Frequent co-authors include Elizabeth S. Burnside, Susan C. Harvey, Oğuzhan Alagöz, Jagpreet Chhatwal, Charles E. Kahn, Turgay Ayer, Deborah A. Frank, Howard Cabral, Lonie R. Salkowski and Nicholas J. Durr. Their work appears in journals such as Academic Radiology, Radiographics, Journal of Digital Imaging, Journal of the American College of Radiology and Development and Psychopathology.
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.