Marion Smits
Impact in
- Genetics top 0.2%
- Glioma Diagnosis and Treatment
-
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Genetics 79
- Glioma Diagnosis and Treatment 79
-
- Advanced MRI Techniques and Applications 55
- Radiomics and Machine Learning in Medical Imaging 42
- MRI in cancer diagnosis 40
- Advanced Neuroimaging Techniques and Applications 37
- Co-authors
- Martin J. van den BentAad van der LugtXavier GolayMeike W. VernooijMatthias J.P. van OschJ.P.C. KleijnenJeroen HendrikseDanny J.J. Wang
- Journals
- Neuro-Oncology (17 papers)Neuroradiology (12 papers)European Radiology (11 papers)NeuroImage (6 papers)Neuro-Oncology Advances (5 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Marion Smits
219 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Genetics 2.4k
- Radiology, Nuclear Medicine and Imaging 4.3k
- Neurology 1.0k
- Neurology 1.6k
- Cognitive Neuroscience 1.9k
Countries citing papers authored by Marion Smits
This map shows the geographic impact of Marion Smits'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 Marion Smits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Smits more than expected).
Fields of papers citing papers by Marion Smits
This network shows the impact of papers produced by Marion Smits. 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 Marion Smits. The network helps show where Marion Smits may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Smits, 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 | 2025 | 0 | |
| 2 | 2024 | 21 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 100 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 7 | |
| 15 | 2020 | 150 | |
| 16 | 2019 | 69 | |
| 17 | 2019 | 19 | |
| 18 | 2019 | 10 | |
| 19 | 2018 | 82 | |
| 20 | 2016 | 17 |
About Marion Smits
Marion Smits is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Neurology and Neurology, having authored 228 papers that have together received 9.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (79 papers), Advanced MRI Techniques and Applications (55 papers), Radiomics and Machine Learning in Medical Imaging (42 papers), MRI in cancer diagnosis (40 papers), Advanced Neuroimaging Techniques and Applications (37 papers), Meningioma and schwannoma management (20 papers), Brain Metastases and Treatment (19 papers) and Functional Brain Connectivity Studies (19 papers). The work is most often cited by research in Genetics (2.4k citations), Radiology, Nuclear Medicine and Imaging (4.3k citations), Neurology (1.0k citations), Neurology (1.6k citations) and Cognitive Neuroscience (1.9k citations). Marion Smits has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Martin J. van den Bent, Aad van der Lugt, Xavier Golay, Meike W. Vernooij, Matthias J.P. van Osch, J.P.C. Kleijnen, Jeroen Hendrikse, Danny J.J. Wang, Laura M. Parkes and Bradley J. MacIntosh. Their work appears in journals such as Neuro-Oncology, Neuroradiology, European Radiology, NeuroImage and Neuro-Oncology Advances.
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.