Marianne Schell

1.5k total citations · 1 hit paper
16 papers, 593 citations indexed

About

Marianne Schell is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Marianne Schell has authored 16 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Genetics and 3 papers in Cognitive Neuroscience. Recurrent topics in Marianne Schell's work include Glioma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (3 papers). Marianne Schell is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (3 papers). Marianne Schell collaborates with scholars based in Germany, Switzerland and United States. Marianne Schell's co-authors include Emiliano Zaccarella, Angela D. Friederici, Philipp Kickingereder, Martin Bendszus, Gianluca Brugnara, Wolfgang Wick, Klaus Maier‐Hein, Fabian Isensee, Sabine Heiland and Heinz‐Peter Schlemmer and has published in prestigious journals such as Scientific Reports, Neuroscience & Biobehavioral Reviews and Human Brain Mapping.

In The Last Decade

Marianne Schell

14 papers receiving 585 citations

Hit Papers

Automated brain extraction of multisequence MRI using art... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Automated brain extraction of multisequence MRI using artificial neural networks
    2019 364 citations Fabian Isensee, Marianne Schell et al. Human Brain Mapping profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marianne Schell Germany 7 284 205 121 101 83 16 593
Bartolomé Bejarano Spain 13 253 0.9× 193 0.9× 132 1.1× 27 0.3× 96 1.2× 30 1.3k
Fabrice Poupon France 18 620 2.2× 324 1.6× 30 0.2× 16 0.2× 117 1.4× 36 1.3k
Moran Artzi Israel 21 760 2.7× 225 1.1× 348 2.9× 14 0.1× 144 1.7× 60 1.3k
Juan A. Guzmán‐De‐Villoria Spain 13 190 0.7× 156 0.8× 122 1.0× 24 0.2× 77 0.9× 36 746
Laura Rigolo United States 19 825 2.9× 487 2.4× 139 1.1× 18 0.2× 35 0.4× 36 1.1k
Jeffrey M. Treiber United States 11 201 0.7× 368 1.8× 82 0.7× 29 0.3× 29 0.3× 26 642
Kesshi Jordan United States 10 237 0.8× 135 0.7× 102 0.8× 30 0.3× 30 0.4× 17 542
Eero Salli Finland 16 641 2.3× 386 1.9× 26 0.2× 11 0.1× 186 2.2× 38 1.2k
Lucía Vaquero Spain 14 102 0.4× 373 1.8× 99 0.8× 67 0.7× 37 0.4× 25 688
Hamied Haroon United Kingdom 17 1.1k 4.0× 551 2.7× 172 1.4× 28 0.3× 39 0.5× 32 1.5k

Countries citing papers authored by Marianne Schell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Marianne Schell

This figure shows the co-authorship network connecting the top 25 collaborators of Marianne Schell. A scholar is included among the top collaborators of Marianne Schell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marianne Schell. Marianne Schell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Banan, Rouzbeh, Marianne Schell, Tobias Keßler, et al.. (2025). Histopathological and molecular characteristics of IDH-wildtype glioblastoma without contrast enhancement: Implications for clinical outcomes. Neuro-Oncology. 27(7). 1878–1887. 1 indexed citations
2.
Brugnara, Gianluca, Philipp Kickingereder, Martha Foltyn, et al.. (2025). Optimizing MRI sequence classification performance: insights from domain shift analysis. European Radiology. 35(11). 6710–6718.
3.
Cho, Jae Young, Marianne Schell, Tobias Keßler, et al.. (2024). The potential of GPT-4 advanced data analysis for radiomics-based machine learning models. Neuro-Oncology Advances. 7(1). vdae230–vdae230. 1 indexed citations
4.
Schell, Marianne, Felix Sahm, Tobias Keßler, et al.. (2024). Advancing noninvasive glioma classification with diffusion radiomics: Exploring the impact of signal intensity normalization. Neuro-Oncology Advances. 6(1). vdae043–vdae043. 4 indexed citations
5.
Foltyn, Martha, Ulf Neuberger, Felix Sahm, et al.. (2024). Unraveling glioblastoma diversity: Insights into methylation subtypes and spatial relationships. Neuro-Oncology Advances. 6(1). vdae112–vdae112.
6.
Brugnara, Gianluca, Tobias Keßler, Felix Sahm, et al.. (2024). Shape matters: unsupervised exploration of IDH-wildtype glioma imaging survival predictors. European Radiology. 35(3). 1351–1360. 1 indexed citations
7.
Schell, Marianne, Martha Foltyn, Michael Baumgartner, et al.. (2024). Deep learning-based defacing tool for CT angiography: CTA-DEFACE. European Radiology Experimental. 8(1). 111–111. 1 indexed citations
8.
Keßler, Tobias, Felix Sahm, Wolfgang Wick, et al.. (2023). Cluster-based prognostication in glioblastoma: Unveiling heterogeneity based on diffusion and perfusion similarities. Neuro-Oncology. 26(6). 1099–1108. 4 indexed citations
9.
Schell, Marianne, et al.. (2023). Automated hippocampal segmentation algorithms evaluated in stroke patients. Scientific Reports. 13(1). 11712–11712. 6 indexed citations
10.
Schell, Marianne, Felix Sahm, Tobias Keßler, et al.. (2023). Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes. European Radiology. 34(4). 2782–2790. 20 indexed citations
11.
Isensee, Fabian, Marianne Schell, Denise Bernhardt, et al.. (2022). Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks. Neuro-Oncology Advances. 4(1). vdac138–vdac138. 15 indexed citations
12.
Schell, Marianne, Angela D. Friederici, & Emiliano Zaccarella. (2022). Neural classification maps for distinct word combinations in Broca’s area. Frontiers in Human Neuroscience. 16. 930849–930849. 3 indexed citations
13.
Schell, Marianne, Gianluca Brugnara, Fabian Isensee, et al.. (2020). Validation of diffusion MRI phenotypes for predicting response to bevacizumab in recurrent glioblastoma: post-hoc analysis of the EORTC-26101 trial. Neuro-Oncology. 22(11). 1667–1676. 9 indexed citations
14.
Isensee, Fabian, Marianne Schell, Gianluca Brugnara, et al.. (2019). Automated brain extraction of multisequence MRI using artificial neural networks. Human Brain Mapping. 40(17). 4952–4964. 364 indexed citations breakdown →
15.
Schell, Marianne, Emiliano Zaccarella, & Angela D. Friederici. (2017). Differential cortical contribution of syntax and semantics: An fMRI study on two-word phrasal processing. Cortex. 96. 105–120. 78 indexed citations
16.
Zaccarella, Emiliano, Marianne Schell, & Angela D. Friederici. (2017). Reviewing the functional basis of the syntactic Merge mechanism for language: A coordinate-based activation likelihood estimation meta-analysis. Neuroscience & Biobehavioral Reviews. 80. 646–656. 86 indexed citations

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.

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