Béatrice Pignolet

1.2k total citations
24 papers, 610 citations indexed

About

Béatrice Pignolet is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Neurology. According to data from OpenAlex, Béatrice Pignolet has authored 24 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 7 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in Béatrice Pignolet's work include Multiple Sclerosis Research Studies (8 papers), Autoimmune Neurological Disorders and Treatments (5 papers) and Peripheral Neuropathies and Disorders (4 papers). Béatrice Pignolet is often cited by papers focused on Multiple Sclerosis Research Studies (8 papers), Autoimmune Neurological Disorders and Treatments (5 papers) and Peripheral Neuropathies and Disorders (4 papers). Béatrice Pignolet collaborates with scholars based in France, Austria and Germany. Béatrice Pignolet's co-authors include Roland Liblau, Lidia Yshii, Jan Bauer, Clémence Queriault, Jacqueline Gelfi, Monika C. Brunner‐Weinzierl, Mandy Pierau, David Brassat, Nicholas Schwab and Heinz Wiendl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Béatrice Pignolet

22 papers receiving 604 citations

Peers

Béatrice Pignolet
Che Liu United States
Cinzia G. Scarpini United Kingdom
Antonino Cassotta Switzerland
George T. Hashisaki United States
Zongming Chen United States
C Vedrenne France
William Hulme United States
Sarah A. Cumming United Kingdom
Béatrice Pignolet
Citations per year, relative to Béatrice Pignolet Béatrice Pignolet (= 1×) peers Eduard Linetsky

Countries citing papers authored by Béatrice Pignolet

Since Specialization
Citations

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

Fields of papers citing papers by Béatrice Pignolet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béatrice Pignolet

This figure shows the co-authorship network connecting the top 25 collaborators of Béatrice Pignolet. A scholar is included among the top collaborators of Béatrice Pignolet 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 Béatrice Pignolet. Béatrice Pignolet 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.
Pérals, Corine, Florence Bucciarelli, Béatrice Pignolet, et al.. (2025). Follicular regulatory T cells promote experimental autoimmune encephalomyelitis by supporting B cell egress from germinal centers. Science Translational Medicine. 17(813). eady1268–eady1268.
2.
Varenne, Fanny, Sébastien Lhomme, Emmanuel Treiner, et al.. (2025). JC Virus–Related Retinopathy. JAMA Ophthalmology. 143(9). 785–785.
3.
Pignolet, Béatrice, Elisabetta Mascia, Ferdinando Clarelli, et al.. (2024). DNA Methylation in the Anti‐Mullerian Hormone Gene and the Risk of Disease Activity in Multiple Sclerosis. Annals of Neurology. 96(2). 289–301. 3 indexed citations
4.
Ferrè, Laura, Ferdinando Clarelli, Béatrice Pignolet, et al.. (2023). Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach. Journal of Personalized Medicine. 13(1). 122–122. 6 indexed citations
5.
Yshii, Lidia, Béatrice Pignolet, Mandy Pierau, et al.. (2019). IFN-γ is a therapeutic target in paraneoplastic cerebellar degeneration. JCI Insight. 4(7). 14 indexed citations
6.
Schwab, Nicholas, Tilman Schneider‐Hohendorf, Béatrice Pignolet, et al.. (2019). Prospective validation of the PML risk biomarker l -selectin and influence of natalizumab extended intervals. Neurology. 93(12). 550–554. 5 indexed citations
7.
Bernard‐Valnet, Raphaël, Béatrice Pignolet, Damien Biotti, et al.. (2018). Unexpected high multiple sclerosis activity after switching from fingolimod to alemtuzumab. Multiple Sclerosis and Related Disorders. 25. 216–218. 8 indexed citations
8.
Lebrun‐Frénay, Christine, Mikaël Cohen, Béatrice Pignolet, et al.. (2016). Interleukin 17 alone is not a discriminant biomarker in early demyelinating spectrum disorders. Journal of the Neurological Sciences. 368. 334–336. 12 indexed citations
9.
Yshii, Lidia, Béatrice Pignolet, Clémence Queriault, et al.. (2016). CTLA4 blockade elicits paraneoplastic neurological disease in a mouse model. Brain. 139(11). 2923–2934. 90 indexed citations
10.
Schwab, Nicholas, Tilman Schneider‐Hohendorf, Béatrice Pignolet, et al.. (2016). Therapy with natalizumab is associated with high JCV seroconversion and rising JCV index values. Neurology Neuroimmunology & Neuroinflammation. 3(1). e195–e195. 62 indexed citations
11.
Bernard‐Valnet, Raphaël, Lidia Yshii, Clémence Queriault, et al.. (2016). CD8 T cell-mediated killing of orexinergic neurons induces a narcolepsy-like phenotype in mice. Proceedings of the National Academy of Sciences. 113(39). 10956–10961. 100 indexed citations
12.
Martin‐Blondel, Guillaume, Béatrice Pignolet, Silvia Tietz, et al.. (2015). Migration of encephalitogenic CD8 T cells into the central nervous system is dependent on the α4β1‐integrin. European Journal of Immunology. 45(12). 3302–3312. 39 indexed citations
13.
Biotti, Damien, L. Mahieu, Raphaël Bernard‐Valnet, et al.. (2015). Spectre de la neuromyélite optique et anticorps anti-MOG. Revue Neurologique. 171. A181–A181. 1 indexed citations
14.
Pignolet, Béatrice, et al.. (2013). Immunopathogenesis of paraneoplastic neurological syndromes associated with anti-Hu antibodies. OncoImmunology. 2(12). e27384–e27384. 68 indexed citations
15.
Pignolet, Béatrice, Sabine Desbois, Masanori Yamazaki, et al.. (2012). Cutting Edge: Neuronal Recognition by CD8 T Cells Elicits Central Diabetes Insipidus. The Journal of Immunology. 188(10). 4731–4735. 22 indexed citations
16.
Łazarczyk, Maciej, Myriam Hayder, Loı̈c Dupré, et al.. (2012). EVER Proteins, Key Elements of the Natural Anti-Human Papillomavirus Barrier, Are Regulated upon T-Cell Activation. PLoS ONE. 7(6). e39995–e39995. 43 indexed citations
17.
Top, Siden, Eliane Foulon, Béatrice Pignolet, et al.. (2011). Infection of Nonhost Species Dendritic CellsIn Vitrowith an Attenuated Myxoma Virus Induces Gene Expression That Predicts Its Efficacy as a Vaccine Vector. Journal of Virology. 85(24). 12982–12994. 5 indexed citations
18.
Pignolet, Béatrice, et al.. (2010). Transgenic mouse models of multiple sclerosis. Cellular and Molecular Life Sciences. 67(23). 4011–4034. 13 indexed citations
19.
Pignolet, Béatrice, Séverine Boullier, Jacqueline Gelfi, et al.. (2008). Safety and immunogenicity of myxoma virus as a new viral vector for small ruminants. Journal of General Virology. 89(6). 1371–1379. 16 indexed citations
20.
Pignolet, Béatrice, et al.. (2007). In vitro permissivity of bovine cells for wild-type and vaccinal myxoma virus strains. Virology Journal. 4(1). 94–94. 5 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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