Bénédicte Maréchal

1.1k total citations
51 papers, 683 citations indexed

About

Bénédicte Maréchal is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Bénédicte Maréchal has authored 51 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Cognitive Neuroscience and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Bénédicte Maréchal's work include Advanced MRI Techniques and Applications (18 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Multiple Sclerosis Research Studies (8 papers). Bénédicte Maréchal is often cited by papers focused on Advanced MRI Techniques and Applications (18 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Multiple Sclerosis Research Studies (8 papers). Bénédicte Maréchal collaborates with scholars based in Switzerland, United States and France. Bénédicte Maréchal's co-authors include Tobias Kober, Gunnar Krueger, Alexis Roche, Reto Meuli, Cristina Granziera, Philippe Maeder, Meritxell Bach Cuadra, Stefan Klöppel, Delphine Ribes and Alessandro Daducci and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Stroke.

In The Last Decade

Bénédicte Maréchal

45 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bénédicte Maréchal Switzerland 15 229 148 144 137 115 51 683
Avinash Chandra United Kingdom 6 136 0.6× 157 1.1× 195 1.4× 98 0.7× 150 1.3× 10 676
Marisa Koini Austria 15 230 1.0× 180 1.2× 134 0.9× 74 0.5× 311 2.7× 38 747
Guillaume Bonnier Switzerland 16 209 0.9× 162 1.1× 114 0.8× 359 2.6× 66 0.6× 34 879
Samantha M. Zuk United States 16 389 1.7× 285 1.9× 121 0.8× 96 0.7× 192 1.7× 24 915
György A. Homola Germany 17 158 0.7× 96 0.6× 192 1.3× 67 0.5× 191 1.7× 46 868
David Vállez García Netherlands 17 355 1.6× 205 1.4× 156 1.1× 46 0.3× 124 1.1× 63 980
O. Presciutti Italy 9 241 1.1× 137 0.9× 138 1.0× 228 1.7× 100 0.9× 13 622
Michele Cavallari United States 19 172 0.8× 122 0.8× 148 1.0× 196 1.4× 72 0.6× 37 743
Maria Marcella Laganà Italy 19 435 1.9× 79 0.5× 286 2.0× 195 1.4× 205 1.8× 69 949
Milan Arsić Germany 5 410 1.8× 258 1.7× 160 1.1× 357 2.6× 244 2.1× 5 1.1k

Countries citing papers authored by Bénédicte Maréchal

Since Specialization
Citations

This map shows the geographic impact of Bénédicte Maréchal'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 Bénédicte Maréchal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bénédicte Maréchal more than expected).

Fields of papers citing papers by Bénédicte Maréchal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bénédicte Maréchal. 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 Bénédicte Maréchal. The network helps show where Bénédicte Maréchal may publish in the future.

Co-authorship network of co-authors of Bénédicte Maréchal

This figure shows the co-authorship network connecting the top 25 collaborators of Bénédicte Maréchal. A scholar is included among the top collaborators of Bénédicte Maréchal 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 Bénédicte Maréchal. Bénédicte Maréchal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rafael‐Patiño, Jonathan, Elda Fischi-Gómez, Bénédicte Maréchal, et al.. (2025). Diffusion Imaging Protocol Heterogeneity Biases Ischemic Core Volume, Location, and Clinical Associations in Acute Stroke. Stroke. 56(4). 915–925. 1 indexed citations
2.
Soh, Reuben Chee Cheong, Septian Hartono, Seng Gee Lim, et al.. (2024). The hindbrain and cortico-reticular pathway in adolescent idiopathic scoliosis. Clinical Radiology. 79(5). e759–e766. 1 indexed citations
3.
Lőrincz, Balázs B., Jan Krásenský, Tobias Kober, et al.. (2024). Lipid measures are associated with cognitive functioning in multiple sclerosis patients. Multiple Sclerosis and Related Disorders. 91. 105879–105879. 1 indexed citations
4.
Romascano, David, Tom Hilbert, Bénédicte Maréchal, et al.. (2024). Normative volumes and relaxation times at 3T during brain development. Scientific Data. 11(1). 429–429. 1 indexed citations
5.
Andělová, Michaela, Jan Krásenský, Tomáš Uher, et al.. (2024). Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis. Journal of Neurology. 271(9). 5944–5957.
6.
Deverdun, Jérémy, Nicolas Menjot de Champfleur, Hugues Duffau, et al.. (2023). Evaluation of a nnU-Net type automated clinical volumetric tumor segmentation tool for diffuse low-grade glioma follow-up. Journal of Neuroradiology. 51(1). 16–23. 9 indexed citations
7.
Rahmani, Farzaneh, Cyrus A. Raji, Wei Wang, et al.. (2023). Validity Assessment of an Automated Brain Morphometry Tool for Patients with De Novo Memory Symptoms. American Journal of Neuroradiology. 44(3). 261–267. 5 indexed citations
8.
Tavernier, Elsa, Bénédicte Maréchal, Tobias Kober, et al.. (2023). Corpus callosum in children with neurodevelopmental delay: MRI standard qualitative assessment versus automatic quantitative analysis. European Radiology Experimental. 7(1). 61–61. 1 indexed citations
9.
Chen, Xinjie, Sabine Schädelin, Po‐Jui Lu, et al.. (2023). Personalized maps of T1 relaxometry abnormalities provide correlates of disability in multiple sclerosis patients. NeuroImage Clinical. 37. 103349–103349. 8 indexed citations
10.
Cudalbu, Cristina, Lijing Xin, Bénédicte Maréchal, et al.. (2023). High field brain proton magnetic resonance spectroscopy and volumetry in children with chronic, compensated liver disease – A pilot study. Analytical Biochemistry. 675. 115212–115212. 2 indexed citations
11.
Vaněčková, Manuela, Michaela Andělová, Jan Krásenský, et al.. (2022). Periventricular gradient of T1 tissue alterations in multiple sclerosis. NeuroImage Clinical. 34. 103009–103009. 14 indexed citations
12.
Clark, Christopher, Jonas Richiardi, Bénédicte Maréchal, et al.. (2022). Systemic and central nervous system neuroinflammatory signatures of neuropsychiatric symptoms and related cognitive decline in older people. Journal of Neuroinflammation. 19(1). 127–127. 13 indexed citations
13.
Ouanes, Sami, Christopher Clark, Jonas Richiardi, et al.. (2022). Cerebrospinal Fluid Cortisol and Dehydroepiandrosterone Sulfate, Alzheimer’s Disease Pathology, and Cognitive Decline. Frontiers in Aging Neuroscience. 14. 892754–892754. 18 indexed citations
14.
Alonso, Juli, Deborah Pareto, Manel Alberich, et al.. (2021). Quantitative comparison of subcortical and ventricular volumetry derived from MPRAGE and MP2RAGE images using different brain morphometry software. Magnetic Resonance Materials in Physics Biology and Medicine. 34(6). 903–914. 2 indexed citations
15.
Fang, Eric, Mário João Fartaria, Bénédicte Maréchal, et al.. (2021). Clinical correlates of white matter lesions in Parkinson's disease using automated multi-modal segmentation measures. Journal of the Neurological Sciences. 427. 117518–117518. 9 indexed citations
16.
Alonso, Juli, Deborah Pareto, Manel Alberich, et al.. (2020). Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods. Magnetic Resonance Materials in Physics Biology and Medicine. 33(6). 757–767. 3 indexed citations
17.
Hilbert, Tom, Manuela Vaněčková, Jan Krásenský, et al.. (2020). Quantitative t(1) deviations in brain lesions and nawm improve the clinico-radiological correlation in early ms. Multiple Sclerosis Journal. 26. 418–418.
18.
Maréchal, Bénédicte, et al.. (2019). Improving diagnosis accuracy of brain volume abnormalities during childhood with an automated MP2RAGE-based MRI brain segmentation. Journal of Neuroradiology. 48(4). 259–265. 7 indexed citations
19.
Boto, José, Alexis Roche, Tobias Kober, et al.. (2017). Evaluating anorexia-related brain atrophy using MP2RAGE-based morphometry. European Radiology. 27(12). 5064–5072. 15 indexed citations
20.
Brenner, Daniel, Thorsten Feiweier, Stephan Kannengießer, et al.. (2015). Comparison of accelerated T1-weighted whole-brain structural-imaging protocols. NeuroImage. 124(Pt A). 157–167. 14 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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