Marianne Schell
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Cognitive Neuroscience top 10%
- Neurobiology of Language and Bilingualism
- Functional Brain Connectivity Studies
Papers in
- Genetics 8
- Glioma Diagnosis and Treatment 8
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- Radiomics and Machine Learning in Medical Imaging 2
- MRI in cancer diagnosis 1
- Co-authors
- Emiliano Zaccarella (3 shared papers)Angela D. Friederici (3 shared papers)Martin Bendszus (14 shared papers)Philipp Kickingereder (14 shared papers)Gianluca Brugnara (11 shared papers)Wolfgang Wick (9 shared papers)Klaus Maier‐Hein (4 shared papers)Sabine Heiland (4 shared papers)
- Journals
- Neuro-Oncology Advances (4 papers)Neuro-Oncology (3 papers)European Radiology (3 papers)European Radiology Experimental (1 paper)Neuroscience & Biobehavioral Reviews (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Marianne Schell
15 papers receiving 632 citations
Marianne Schell's Hit Papers
Peers
Comparison fields: 5 of 68
- Genetics 111
- Cognitive Neuroscience 200
- Radiology, Nuclear Medicine and Imaging 181
- Neurology 60
- Developmental and Educational Psychology 95
Countries citing papers authored by Marianne Schell
This map shows the geographic impact of Marianne Schell'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 Marianne Schell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marianne Schell more than expected).
Fields of papers citing papers by Marianne Schell
This network shows the impact of papers produced by Marianne Schell. 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 Marianne Schell. The network helps show where Marianne Schell may publish in the future.
Co-authors
The 25 scholars most cited alongside Marianne Schell, 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 | Automated brain extraction of multisequence MRI using artificial neural networks Hit paper breakdown → | 2019 | 398 |
| 2 | 2017 | 88 | |
| 3 | 2017 | 80 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 16 | |
| 6 | 2020 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Marianne Schell
Marianne Schell is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Social Psychology and Neurology, having authored 17 papers that have together received 640 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Neurobiology of Language and Bilingualism (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Brain Tumor Detection and Classification (2 papers), Reading and Literacy Development (2 papers), Action Observation and Synchronization (2 papers), Epilepsy research and treatment (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Genetics (111 citations), Cognitive Neuroscience (200 citations), Radiology, Nuclear Medicine and Imaging (181 citations), Neurology (60 citations) and Developmental and Educational Psychology (95 citations). Marianne Schell has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Emiliano Zaccarella, Angela D. Friederici, Martin Bendszus, Philipp Kickingereder, Gianluca Brugnara, Wolfgang Wick, Klaus Maier‐Hein, Sabine Heiland, Fabian Isensee and David Bonekamp. Their work appears in journals such as Neuro-Oncology Advances, Neuro-Oncology, European Radiology, European Radiology Experimental and Neuroscience & Biobehavioral Reviews.
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.