B. Eymard

15.2k total citations
240 papers, 8.2k citations indexed

About

B. Eymard is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, B. Eymard has authored 240 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Neurology, 108 papers in Molecular Biology and 60 papers in Cellular and Molecular Neuroscience. Recurrent topics in B. Eymard's work include Myasthenia Gravis and Thymoma (77 papers), Genetic Neurodegenerative Diseases (54 papers) and Muscle Physiology and Disorders (45 papers). B. Eymard is often cited by papers focused on Myasthenia Gravis and Thymoma (77 papers), Genetic Neurodegenerative Diseases (54 papers) and Muscle Physiology and Disorders (45 papers). B. Eymard collaborates with scholars based in France, United Kingdom and United States. B. Eymard's co-authors include Pascal Laforêt, Michel Fardeau, Sonia Berrih‐Aknin, Norma B. Romero, Guillaume Bassez, Bertrand Fontaine, Denis Duboc, Anthony Béhin, Daniel Hantaı̈ and S. Herson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

B. Eymard

231 papers receiving 8.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
B. Eymard 4.4k 2.6k 2.3k 1.5k 1.0k 240 8.2k
Benedikt Schoser 4.1k 0.9× 1.7k 0.7× 2.0k 0.9× 1.1k 0.8× 789 0.8× 337 8.2k
Zohar Argov 3.5k 0.8× 1.2k 0.5× 1.1k 0.5× 1.1k 0.7× 1.4k 1.4× 180 6.3k
Serenella Servidei 6.8k 1.5× 1.3k 0.5× 1.6k 0.7× 980 0.7× 491 0.5× 224 9.4k
Pascal Laforêt 3.8k 0.9× 1.1k 0.4× 1.4k 0.6× 1.3k 0.9× 821 0.8× 270 7.4k
Zarife Sahenk 4.6k 1.0× 1.4k 0.5× 1.9k 0.8× 778 0.5× 492 0.5× 145 7.7k
Arthur P. Hays 3.9k 0.9× 4.8k 1.8× 2.8k 1.2× 589 0.4× 886 0.9× 170 10.3k
W. King Engel 3.7k 0.8× 1.3k 0.5× 1.6k 0.7× 573 0.4× 2.5k 2.4× 144 6.9k
Tanya Stojkovic 2.2k 0.5× 1.7k 0.7× 1.5k 0.6× 757 0.5× 335 0.3× 200 5.3k
Haruki Koike 2.4k 0.5× 2.7k 1.0× 1.8k 0.8× 516 0.4× 309 0.3× 226 6.4k
Heinz Jungbluth 4.6k 1.1× 774 0.3× 1.4k 0.6× 2.5k 1.7× 466 0.5× 230 6.7k

Countries citing papers authored by B. Eymard

Since Specialization
Citations

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

Fields of papers citing papers by B. Eymard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Eymard

This figure shows the co-authorship network connecting the top 25 collaborators of B. Eymard. A scholar is included among the top collaborators of B. Eymard 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 B. Eymard. B. Eymard 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.
Truffault, Frédérique, Nadine Dragin, Jean‐Thomas Vilquin, et al.. (2024). Comparison of juvenile and adult myasthenia gravis in a French cohort with focus on thymic histology. Scientific Reports. 14(1). 13955–13955.
2.
ALLEN, NEIL K., B. Eymard, Maryam Oskoui, et al.. (2023). VP278 The emerging spectrum of fetal acetylcholine receptor antibody-associated disorders (FARAD). Neuromuscular Disorders. 33. S179–S180. 2 indexed citations
3.
Dobbertin, Alexandre, B. Eymard, Damien Sternberg, et al.. (2023). Molecular Analysis of a Congenital Myasthenic Syndrome Due to a Pathogenic Variant Affecting the C-Terminus of ColQ. International Journal of Molecular Sciences. 24(22). 16217–16217.
4.
Roos‐Weil, Damien, Nicolas Weiss, Amélie Guihot, et al.. (2021). Immune checkpoint inhibitors for progressive multifocal leukoencephalopathy: a new gold standard?. Journal of Neurology. 268(7). 2458–2465. 11 indexed citations
5.
Sharshar, Tarek, et al.. (2018). Marathons and myasthenia gravis: a case report. BMC Neurology. 18(1). 145–145. 4 indexed citations
6.
Lornage, Xavière, Edoardo Malfatti, Raphaël Schneider, et al.. (2017). Recessive MYPN mutations cause cap myopathy with occasional nemaline rods. Annals of Neurology. 81(3). 467–473. 22 indexed citations
7.
Wahbi, Karim, Emmanuel Sorbets, B. Eymard, et al.. (2014). Reduced Inotropic Reserve is Predictive of Further Degradation in Left Ventricular Ejection Fraction in Patients with Duchenne Muscular Dystrophy. European Journal of Heart Failure. 17(2). 177–181. 1 indexed citations
8.
Berrih‐Aknin, Sonia, et al.. (2014). Diagnostic and clinical classification of autoimmune myasthenia gravis. Journal of Autoimmunity. 48-49. 143–148. 202 indexed citations
9.
Devic, Perrine, P. Petiot, Thomas Simonet, et al.. (2013). Antibodies to clustered acetylcholine receptor: expanding the phenotype. European Journal of Neurology. 21(1). 130–134. 47 indexed citations
10.
Gargiulo, Marcela, Jean‐Yves Hogrel, Valérie Doppler, et al.. (2013). Attitudes and expectations of patients with neuromuscular diseases about their participation in a clinical trial. Revue Neurologique. 169(8-9). 670–676. 3 indexed citations
11.
Böhm, Johann, Frédéric Chevessier, Catherine Koch, et al.. (2013). Constitutive Activation of the Calcium Sensor STIM1 Causes Tubular-Aggregate Myopathy. The American Journal of Human Genetics. 92(2). 271–278. 149 indexed citations
12.
Périé, Sophie, Capucine Trollet, Vincent Mouly, et al.. (2013). Autologous Myoblast Transplantation for Oculopharyngeal Muscular Dystrophy: a Phase I/Iia Clinical Study. Molecular Therapy. 22(1). 219–225. 95 indexed citations
13.
Wanschitz, Julia, O. Dubourg, Emmanuelle Lacène, et al.. (2012). Expression of myogenic regulatory factors and myo-endothelial remodeling in sporadic inclusion body myositis. Neuromuscular Disorders. 23(1). 75–83. 31 indexed citations
14.
Bevilacqua, Jorge A., Nicole Monnier, Marc Bitoun, et al.. (2010). Recessive RYR1 mutations cause unusual congenital myopathy with prominent nuclear internalization and large areas of myofibrillar disorganization. Neuropathology and Applied Neurobiology. 37(3). 271–284. 75 indexed citations
15.
Chevessier, Frédéric, Stéphanie Bauché, Jean‐Paul Leroy, et al.. (2005). The origin of tubular aggregates in human myopathies. The Journal of Pathology. 207(3). 313–323. 64 indexed citations
16.
Andreux, F., Daniel Hantaı̈, & B. Eymard. (2004). Syndromes myasthéniques congénitaux: Expression phénotypique et caractérisation physiopathologique. Revue Neurologique. 160(2). 163–176. 2 indexed citations
17.
Harper, Peter S., et al.. (2002). 99th ENMC international workshop: myotonic dystrophy: present management, future therapy. Neuromuscular Disorders. 12(6). 596–599. 37 indexed citations
18.
Tubridy, Niall, Bertrand Fontaine, & B. Eymard. (2001). Congenital myopathies and congenital muscular dystrophies. Current Opinion in Neurology. 14(5). 575–582. 41 indexed citations
19.
Berrih‐Aknin, Sonia & B. Eymard. (1999). Thymus et pathologies. 5(7). 579–586. 3 indexed citations
20.
Gajdoš, P, et al.. (1993). A randomised clinical trial comparing prednisone and azathioprine in myasthenia gravis. Results of the second interim analysis. Myasthenia Gravis Clinical Study Group.. Journal of Neurology Neurosurgery & Psychiatry. 56(11). 1157–1163. 51 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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