Michael E. Pyle
Impact in
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- Breast Cancer Treatment Studies
Papers in
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- AI in cancer detection 5
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Yujing J. Heng (8 shared papers)Gabrielle M. Baker (7 shared papers)Rulla M. Tamimi (6 shared papers)Kevin H. Kensler (4 shared papers)Amy Hackney (1 shared paper)Stuart J. Schnitt (4 shared papers)Mitko Veta (4 shared papers)Giuseppe Viale (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Clinical Oncology (1 paper)Transgender Health (1 paper)Cancer Epidemiology (1 paper)Personality and Individual Differences (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Michael E. Pyle
10 papers receiving 272 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 7
- Cancer Research 74
- Oncology 99
- Pulmonary and Respiratory Medicine 77
- Radiology, Nuclear Medicine and Imaging 53
Countries citing papers authored by Michael E. Pyle
This map shows the geographic impact of Michael E. Pyle'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 Michael E. Pyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Pyle more than expected).
Fields of papers citing papers by Michael E. Pyle
This network shows the impact of papers produced by Michael E. Pyle. 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 Michael E. Pyle. The network helps show where Michael E. Pyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. Pyle, 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 | 2019 | 90 | |
| 2 | 2019 | 41 | |
| 3 | 2011 | 38 | |
| 4 | 2018 | 37 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 13 | |
| 8 | 2021 | 7 | |
| 9 | 2019 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 |
About Michael E. Pyle
Michael E. Pyle is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cancer Research, Molecular Biology and Oncology, having authored 11 papers that have together received 279 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Breast Cancer Treatment Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Colorectal Cancer Screening and Detection (2 papers), BRCA gene mutations in cancer (2 papers), Gene expression and cancer classification (2 papers) and Stalking, Cyberstalking, and Harassment (1 paper). The work is most often cited by research in Health Informatics (7 citations), Cancer Research (74 citations), Oncology (99 citations), Pulmonary and Respiratory Medicine (77 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Michael E. Pyle has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Yujing J. Heng, Gabrielle M. Baker, Rulla M. Tamimi, Kevin H. Kensler, Amy Hackney, Stuart J. Schnitt, Mitko Veta, Giuseppe Viale, Marco Colleoni and Beat Thürlimann. Their work appears in journals such as PLoS ONE, Journal of Clinical Oncology, Transgender Health, Cancer Epidemiology and Personality and Individual Differences.
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.