Winnie Schats
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Oncology 6
-
- Radiomics and Machine Learning in Medical Imaging 5
- MRI in cancer diagnosis 2
- Co-authors
- Regina G. H. Beets‐Tan (4 shared papers)Zuhir Bodalal (4 shared papers)Stefano Trebeschi (1 shared paper)Thi Dan Linh Nguyen‐Kim (1 shared paper)Marjanka K. Schmidt (1 shared paper)Ewout W. Steyerberg (1 shared paper)Ellen G. Engelhardt (1 shared paper)Fred H. Menko (1 shared paper)
- Journals
- Cancers (3 papers)BMJ Open (2 papers)European Journal of Surgical Oncology (2 papers)Familial Cancer (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- NetherlandsUnited StatesSweden
In The Last Decade
Winnie Schats
28 papers receiving 678 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 199
- Orthopedics and Sports Medicine 61
- Otorhinolaryngology 22
- Cancer Research 67
Countries citing papers authored by Winnie Schats
This map shows the geographic impact of Winnie Schats'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 Winnie Schats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Winnie Schats more than expected).
Fields of papers citing papers by Winnie Schats
This network shows the impact of papers produced by Winnie Schats. 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 Winnie Schats. The network helps show where Winnie Schats may publish in the future.
Co-authors
The 25 scholars most cited alongside Winnie Schats, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 208 | |
| 2 | 2018 | 84 | |
| 3 | 2022 | 81 | |
| 4 | 2017 | 70 | |
| 5 | 2021 | 57 | |
| 6 | 2021 | 34 | |
| 7 | 2020 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 12 | |
| 11 | 2011 | 9 | |
| 12 | 2011 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 4 |
About Winnie Schats
Winnie Schats is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Surgery and General Health Professions, having authored 28 papers that have together received 688 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Optimism, Hope, and Well-being (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Complementary and Alternative Medicine Studies (3 papers), Outdoor and Experiential Education (3 papers), Oral and Maxillofacial Pathology (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (199 citations), Orthopedics and Sports Medicine (61 citations), Otorhinolaryngology (22 citations) and Cancer Research (67 citations). Winnie Schats has collaborated with scholars based in Netherlands, United States and Sweden. Frequent co-authors include Regina G. H. Beets‐Tan, Zuhir Bodalal, Stefano Trebeschi, Thi Dan Linh Nguyen‐Kim, Marjanka K. Schmidt, Ewout W. Steyerberg, Ellen G. Engelhardt, Fred H. Menko, Lizet E. van der Kolk and Eveline M. A. Bleiker. Their work appears in journals such as Cancers, BMJ Open, European Journal of Surgical Oncology, Familial Cancer and Frontiers in Psychology.
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.