Renate Prevos
Impact in
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- Breast Cancer Treatment Studies
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- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- Breast Lesions and Carcinomas 4
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- Radiomics and Machine Learning in Medical Imaging 2
- MRI in cancer diagnosis 2
- Co-authors
- Marjolein L. Smidt (4 shared papers)Marc B. I. Lobbes (4 shared papers)Mireille Van Goethem (3 shared papers)Joachim E. Wildberger (3 shared papers)Vivianne C. G. Tjan‐Heijnen (2 shared papers)Geerard L. Beets (2 shared papers)Robert‐Jan Schipper (1 shared paper)Ruud M. Pijnappel (1 shared paper)
- Journals
- European Radiology (2 papers)Medical Physics (1 paper)Cancers (1 paper)Cancer Research (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Renate Prevos
8 papers receiving 338 citations
Peers
Comparison fields: 5 of 15
- Cancer Research 124
- Radiology, Nuclear Medicine and Imaging 182
- Pulmonary and Respiratory Medicine 103
- Pathology and Forensic Medicine 45
- Artificial Intelligence 37
Countries citing papers authored by Renate Prevos
This map shows the geographic impact of Renate Prevos'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 Renate Prevos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renate Prevos more than expected).
Fields of papers citing papers by Renate Prevos
This network shows the impact of papers produced by Renate Prevos. 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 Renate Prevos. The network helps show where Renate Prevos may publish in the future.
Co-authors
The 25 scholars most cited alongside Renate Prevos, 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 | 2013 | 156 | |
| 2 | 2016 | 101 | |
| 3 | 2012 | 54 | |
| 4 | 2012 | 21 | |
| 5 | 2022 | 4 | |
| 6 | 2018 | 2 | |
| 7 | 2019 | 1 | |
| 8 | 2024 | 1 |
About Renate Prevos
Renate Prevos is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 8 papers that have together received 340 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Breast Cancer Treatment Studies (2 papers), MRI in cancer diagnosis (2 papers), Advanced Breast Cancer Therapies (1 paper), BRCA gene mutations in cancer (1 paper) and Digital Radiography and Breast Imaging (1 paper). The work is most often cited by research in Cancer Research (124 citations), Radiology, Nuclear Medicine and Imaging (182 citations), Pulmonary and Respiratory Medicine (103 citations), Pathology and Forensic Medicine (45 citations) and Artificial Intelligence (37 citations). Renate Prevos has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Marjolein L. Smidt, Marc B. I. Lobbes, Mireille Van Goethem, Joachim E. Wildberger, Vivianne C. G. Tjan‐Heijnen, Geerard L. Beets, Robert‐Jan Schipper, Ruud M. Pijnappel, Wing Yan Mok and Patricia J. Nelemans. Their work appears in journals such as European Radiology, Medical Physics, Cancers, Cancer Research and European Journal of Cancer.
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.