Anne Kerbrat

1.5k total citations
28 papers, 582 citations indexed

About

Anne Kerbrat is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Anne Kerbrat has authored 28 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pathology and Forensic Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Neurology. Recurrent topics in Anne Kerbrat's work include Multiple Sclerosis Research Studies (22 papers), Polyomavirus and related diseases (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Anne Kerbrat is often cited by papers focused on Multiple Sclerosis Research Studies (22 papers), Polyomavirus and related diseases (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Anne Kerbrat collaborates with scholars based in France, United States and Canada. Anne Kerbrat's co-authors include Sridar Narayanan, John G. Sled, D. Louis Collins, Douglas L. Arnold, Brenda Banwell, Bérengère Aubert-Broche, Jean‐Christophe Ferré, Gilles Edan, Gilles Edan and Emmanuelle Le Page and has published in prestigious journals such as New England Journal of Medicine, NeuroImage and Neurology.

In The Last Decade

Anne Kerbrat

26 papers receiving 568 citations

Peers

Anne Kerbrat
Fonda Liu United States
Nikolaos Sfikas Switzerland
Kimberly Umans United States
Harry Twaalfhoven Netherlands
Jun Gao China
Anuradha Chakrabarty United States
Fonda Liu United States
Anne Kerbrat
Citations per year, relative to Anne Kerbrat Anne Kerbrat (= 1×) peers Fonda Liu

Countries citing papers authored by Anne Kerbrat

Since Specialization
Citations

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

Fields of papers citing papers by Anne Kerbrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Kerbrat

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Kerbrat. A scholar is included among the top collaborators of Anne Kerbrat 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 Anne Kerbrat. Anne Kerbrat 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.
Hong, Jinsheng, Jean‐Christophe Ferré, Emmanuelle Le Page, et al.. (2025). Limited added value of systematic spinal cord MRI vs brain MRI alone to classify patients with MS as active or inactive during follow-up. Journal of Neurology. 272(4). 316–316.
2.
Combès, Benoît, Élise Bannier, Jean‐Christophe Ferré, et al.. (2024). Microstructural Damage and Repair in the Spinal Cord of Patients With Early Multiple Sclerosis and Association With Disability at 5 Years. Neurology Neuroimmunology & Neuroinflammation. 12(1). e200333–e200333. 3 indexed citations
3.
Cohen‐Adad, Julien, Benoît Combès, Élise Bannier, et al.. (2023). Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord. Brain and Behavior. 13(11). e3159–e3159. 2 indexed citations
4.
Page, Emmanuelle Le, Cosmeri Rizzato, Damien Le Port, et al.. (2022). Ten-year follow-up after mitoxantrone induction for early highly active relapsing-remitting multiple sclerosis: An observational study of 100 consecutive patients. Revue Neurologique. 178(6). 569–579. 4 indexed citations
5.
Michaud, Audrey, Sandra Vukusic, Emmanuelle Le Page, et al.. (2022). COPP-MS: COrticosteroids during the Post-Partum in relapsing Multiple Sclerosis patients. Journal of Neurology. 269(10). 5571–5581. 5 indexed citations
6.
Rousseau, Chloé, Emma Bajeux, Sandrine Wiertlewski, et al.. (2022). Discontinuation of second- versus first-line disease-modifying treatment in middle-aged patients with multiple sclerosis. Journal of Neurology. 270(1). 413–422. 11 indexed citations
7.
Combès, Benoît, Olivier Commowick, Élise Bannier, et al.. (2022). Reproducibility and Evolution of Diffusion Mri Measurements Within the Cervical Spinal Cord in Multiple Sclerosis. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 1 indexed citations
8.
Combès, Benoît, et al.. (2021). A Clinically-Compatible Workflow for Computer-Aided Assessment of Brain Disease Activity in Multiple Sclerosis Patients. Frontiers in Medicine. 8. 740248–740248. 11 indexed citations
9.
Commowick, Olivier, Michaël Kain, Romain Casey, et al.. (2021). Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset. NeuroImage. 244. 118589–118589. 50 indexed citations
10.
Strijbis, Eva, Anne Kerbrat, & John R. Corboy. (2021). Discontinuation of Disease-Modifying Therapy in Multiple Sclerosis. JAMA Neurology. 78(7). 787–787. 7 indexed citations
11.
Kerbrat, Anne & Gilles Edan. (2020). Should spinal cord MRI be systematically performed for diagnosis and follow up of multiple sclerosis? Yes. Revue Neurologique. 176(6). 487–489.
13.
Combès, Benoît, et al.. (2020). Prognostic value of spinal cord MRI in multiple sclerosis patients. Revue Neurologique. 177(5). 571–581. 4 indexed citations
14.
Combès, Benoît, Élise Bannier, Jean‐Christophe Ferré, et al.. (2019). Joint assessment of brain and spinal cord motor tract damage in patients with early RRMS: predominant impact of spinal cord lesions on motor function. Journal of Neurology. 266(9). 2294–2303. 1 indexed citations
15.
Leray, Emmanuelle, Sandrine Wiertlewski, Emmanuelle Le Page, et al.. (2019). High-dose biotin in progressive multiple sclerosis: A prospective study of 178 patients in routine clinical practice. Multiple Sclerosis Journal. 26(14). 1898–1906. 9 indexed citations
16.
Caruyer, Emmanuel, Julien Cohen‐Adad, Olivier Commowick, et al.. (2019). Geometric Evaluation of Distortion Correction Methods in Diffusion MRI of the Spinal Cord. HAL (Le Centre pour la Communication Scientifique Directe). 1696–1699. 5 indexed citations
17.
Kerbrat, Anne, Jean‐Christophe Ferré, Pierre Fillâtre, et al.. (2016). Acute Neurologic Disorder from an Inhibitor of Fatty Acid Amide Hydrolase. New England Journal of Medicine. 375(18). 1717–1725. 126 indexed citations
18.
Kerbrat, Anne, Bérengère Aubert-Broche, Vladimir Fonov, et al.. (2012). Reduced head and brain size for age and disproportionately smaller thalami in child-onset MS. Neurology. 78(3). 194–201. 69 indexed citations
19.
Till, Christine, Rezwan Ghassemi, Bérengère Aubert-Broche, et al.. (2011). MRI correlates of cognitive impairment in childhood-onset multiple sclerosis.. Neuropsychology. 25(3). 319–332. 116 indexed citations
20.
Kerbrat, Anne, Emmanuelle Le Page, Emmanuelle Leray, et al.. (2011). Natalizumab and drug holiday in clinical practice: An observational study in very active relapsing remitting Multiple Sclerosis patients. Journal of the Neurological Sciences. 308(1-2). 98–102. 62 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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