Stephanie K. Patterson
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Social Psychology top 5%
- Artificial Intelligence top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Thomas M. TalavageDavid KemmererJavier González-CastilloMarilyn A. RoubidouxMark A. HelvieChintana ParamagulRuth C. CarlosKatherine A. Klein
- Topics
- Breast Lesions and Carcinomas (10 papers)Global Cancer Incidence and Screening (9 papers)AI in cancer detection (9 papers)
- Cited by
- Experimental and Cognitive PsychologyRadiology, Nuclear Medicine and ImagingPathology and Forensic Medicine
- Partner nations
- United StatesThailandCanada
In The Last Decade
Stephanie K. Patterson
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 275
- Oncology 233
- Social Psychology 232
- Artificial Intelligence 212
- Pathology and Forensic Medicine 209
Countries citing papers authored by Stephanie K. Patterson
This map shows the geographic impact of Stephanie K. Patterson'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 Stephanie K. Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie K. Patterson more than expected).
Fields of papers citing papers by Stephanie K. Patterson
This network shows the impact of papers produced by Stephanie K. Patterson. 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 Stephanie K. Patterson. The network helps show where Stephanie K. Patterson may publish in the future.
Co-authorship network of co-authors of Stephanie K. Patterson
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie K. Patterson. A scholar is included among the top collaborators of Stephanie K. Patterson 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 Stephanie K. Patterson. Stephanie K. Patterson 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 | 1 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 277 | |
| 12 | 39 | |
| 13 | 10 | |
| 14 | 66 | |
| 15 | 48 | |
| 16 | 67 | |
| 17 | 78 | |
| 18 | 17 | |
| 19 | 14 | |
| 20 | 18 |
About Stephanie K. Patterson
Stephanie K. Patterson is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Oncology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (10 papers), Global Cancer Incidence and Screening (9 papers) and AI in cancer detection (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (156 citations), Radiology, Nuclear Medicine and Imaging (275 citations) and Pathology and Forensic Medicine (209 citations). Stephanie K. Patterson has collaborated with scholars based in United States, Thailand and Canada. Frequent co-authors include Thomas M. Talavage, David Kemmerer, Javier González-Castillo, Marilyn A. Roubidoux, Mark A. Helvie, Chintana Paramagul, Ruth C. Carlos, Katherine A. Klein, Alexis V. Nees and Janet E. Bailey. Their work appears in journals such as Radiology, American Journal of Roentgenology and The Analyst.
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.