Ruud M. Pijnappel
- Cancer Research top 1%
- Breast Cancer Treatment Studies 48
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- MRI in cancer diagnosis 29
- Radiomics and Machine Learning in Medical Imaging 15
- Medical Imaging Techniques and Applications 9
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- Breast Lesions and Carcinomas 51
- Oncology top 2%
- Global Cancer Incidence and Screening 42
- Health Informatics top 5%
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- AI in cancer detection 33
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- Digital Radiography and Breast Imaging 32
- Co-authors
- Carla H. van GilsRitse M. MannWouter B. VeldhuisWillem P.Th.M. MaliMarc B. I. LobbesHelena M. VerkooijenNico KarssemeijerJelle Wesseling
- Journals
- New England Journal of Medicine (1 paper)PLoS ONE (5 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Ruud M. Pijnappel
111 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 1.1k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Pathology and Forensic Medicine 927
- Oncology 1.0k
- Health Informatics 36
Countries citing papers authored by Ruud M. Pijnappel
This map shows the geographic impact of Ruud M. Pijnappel'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 Ruud M. Pijnappel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruud M. Pijnappel more than expected).
Fields of papers citing papers by Ruud M. Pijnappel
This network shows the impact of papers produced by Ruud M. Pijnappel. 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 Ruud M. Pijnappel. The network helps show where Ruud M. Pijnappel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruud M. Pijnappel, 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 | 2024 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 4 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 43 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 16 | |
| 16 | 2018 | 25 | |
| 17 | 2017 | 43 | |
| 18 | 2016 | 46 | |
| 19 | 2004 | 24 | |
| 20 | [Diagnostics in clinically occult, radiologically suspect breast lesions more often surgery than needle diagnostics with image monitoring]. | 2001 | 1 |
About Ruud M. Pijnappel
Ruud M. Pijnappel is a scholar working on Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 112 papers that have together received 3.0k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (51 papers), Breast Cancer Treatment Studies (48 papers), Global Cancer Incidence and Screening (42 papers), AI in cancer detection (33 papers), Digital Radiography and Breast Imaging (32 papers), MRI in cancer diagnosis (29 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Medical Imaging Techniques and Applications (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Pathology and Forensic Medicine (927 citations). Ruud M. Pijnappel has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Carla H. van Gils, Ritse M. Mann, Wouter B. Veldhuis, Willem P.Th.M. Mali, Marc B. I. Lobbes, Helena M. Verkooijen, Nico Karssemeijer, Jelle Wesseling, Claudette E. Loo and Petra H.M. Peeters. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.