Armelle Magot

3.1k total citations
48 papers, 767 citations indexed

About

Armelle Magot is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Armelle Magot has authored 48 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 15 papers in Neurology. Recurrent topics in Armelle Magot's work include Muscle Physiology and Disorders (16 papers), Peripheral Neuropathies and Disorders (11 papers) and Hereditary Neurological Disorders (9 papers). Armelle Magot is often cited by papers focused on Muscle Physiology and Disorders (16 papers), Peripheral Neuropathies and Disorders (11 papers) and Hereditary Neurological Disorders (9 papers). Armelle Magot collaborates with scholars based in France, Canada and Australia. Armelle Magot's co-authors include Yann Péréon, Jean‐Yves Hogrel, François Hug, Lilian Lacourpaille, Antoine Nordez, Arnaud Guével, B. Perrouin Verbe, S. Chollet, M. Le Fort and Sandrine Wiertlewski and has published in prestigious journals such as PLoS ONE, Neurology and Journal of Applied Physiology.

In The Last Decade

Armelle Magot

44 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Armelle Magot France 16 292 277 176 119 113 48 767
Emmanuelle Salort‐Campana France 21 251 0.9× 402 1.5× 185 1.1× 193 1.6× 69 0.6× 68 1.0k
Ruth Brassington United Kingdom 10 340 1.2× 276 1.0× 161 0.9× 99 0.8× 46 0.4× 14 740
Namita Goyal United States 16 382 1.3× 421 1.5× 125 0.7× 205 1.7× 147 1.3× 64 1.2k
Ângela Romano Italy 16 351 1.2× 355 1.3× 126 0.7× 80 0.7× 41 0.4× 77 924
J. Franques France 21 256 0.9× 533 1.9× 242 1.4× 88 0.7× 23 0.2× 44 927
Il Nam Sunwoo South Korea 14 147 0.5× 338 1.2× 306 1.7× 40 0.3× 84 0.7× 55 813
Carla Fernandez France 18 329 1.1× 230 0.8× 88 0.5× 46 0.4× 53 0.5× 50 1.1k
Takayuki Katayama Japan 17 173 0.6× 311 1.1× 86 0.5× 76 0.6× 35 0.3× 63 828
Karlien Mul Netherlands 17 541 1.9× 83 0.3× 187 1.1× 71 0.6× 106 0.9× 53 802
Paulo Henrique Rosado-de-Castro Brazil 18 305 1.0× 124 0.4× 171 1.0× 95 0.8× 93 0.8× 51 1.2k

Countries citing papers authored by Armelle Magot

Since Specialization
Citations

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

Fields of papers citing papers by Armelle Magot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armelle Magot

This figure shows the co-authorship network connecting the top 25 collaborators of Armelle Magot. A scholar is included among the top collaborators of Armelle Magot 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 Armelle Magot. Armelle Magot 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.
Andrade, Ricardo J., Antoine Nordez, Armelle Magot, et al.. (2025). Ultrasound Shear Wave Velocity of Peripheral Nerves: A Possible Non‐Invasive Biomarker for Demyelinating Neuropathies. Journal of the Peripheral Nervous System. 30(2). e70015–e70015.
2.
Davion, Jean‐Baptiste, Jérôme Devaux, Céline Tard, et al.. (2025). Guillain-Barré syndrome in patients with Charcot-Marie-Tooth type 1A disease, probably a non-random association. Neurophysiologie Clinique. 55(4). 103071–103071. 1 indexed citations
3.
Delmont, Émilien, Thierry Gendre, Antoine Pégat, et al.. (2025). Neuropathies associées à une gammapathie IgM : quand il n’y a pas d’anti-MAG. Revue Neurologique. 181. S110–S110.
4.
Leroux, Isabelle, Thibaut Larcher, Antoine Hamel, et al.. (2024). Human MuStem cells are competent to fuse with nonhuman primate myofibers in a clinically relevant transplantation context: A proof-of-concept study. Journal of Neuropathology & Experimental Neurology. 83(8). 684–694. 1 indexed citations
5.
Ruet, Aurélie, P. Duffau, Guillaume Mathey, et al.. (2024). Neurosarcoidosis: Clinical, biological, and MRI presentation of central nervous system disease in a national multicenter cohort. Brain and Behavior. 14(9). e3443–e3443. 3 indexed citations
6.
Li, Dong, Armelle Magot, Yann Péréon, et al.. (2024). Expanding the Spectrum of Congenital Myopathy Linked to Variants in the MYBPC1 Gene. Neurology Clinical Practice. 14(3). e200228–e200228. 1 indexed citations
7.
Fernández‐Eulate, Gorka, Girolamo Alfieri, Marco Spinazzi, et al.. (2024). Phenotype variability and natural history of X-linked myopathy with excessive autophagy. Journal of Neurology. 271(7). 4008–4018. 1 indexed citations
8.
Contreras‐López, Rafael, Gautier Téjédor, Christophe Blanquart, et al.. (2022). Human MuStem cells repress T-cell proliferation and cytotoxicity through both paracrine and contact-dependent pathways. Stem Cell Research & Therapy. 13(1). 7–7. 6 indexed citations
9.
Vicart, Savine, J. Franques, Françoise Bouhour, et al.. (2021). Efficacy and safety of mexiletine in non-dystrophic myotonias: A randomised, double-blind, placebo-controlled, cross-over study. Neuromuscular Disorders. 31(11). 1124–1135. 20 indexed citations
10.
Magot, Armelle, et al.. (2020). Dramatic recovery in a patient with anti-myelin–associated glycoprotein neuropathy. Revue Neurologique. 177(4). 435–436.
11.
Bousson, V., Karine Viala, Yann Péréon, et al.. (2019). Prospective study of the additional benefit of plexus magnetic resonance imaging in the diagnosis of chronic inflammatory demyelinating polyneuropathy. European Journal of Neurology. 27(1). 181–187. 15 indexed citations
12.
Lacourpaille, Lilian, Raphaël Gross, François Hug, et al.. (2017). Effects of Duchenne muscular dystrophy on muscle stiffness and response to electrically-induced muscle contraction: A 12-month follow-up. Neuromuscular Disorders. 27(3). 214–220. 36 indexed citations
13.
14.
Mussini, Jean‐Marie, Armelle Magot, Daniel Hantaı̈, et al.. (2015). Atypical nuclear abnormalities in a patient with Brody disease. Neuromuscular Disorders. 25(10). 773–779. 4 indexed citations
15.
Mercier, Sandra, Armelle Magot, Florence Caillon, et al.. (2015). Muscle magnetic resonance imaging abnormalities in X‐linked myopathy with excessive autophagy. Muscle & Nerve. 52(4). 673–680. 4 indexed citations
16.
Magot, Armelle, Sandra Mercier, & Yann Péréon. (2015). Particularités de la dystrophie musculaire de Becker et des femmes conductrices. Archives de Pédiatrie. 22(12). 12S31–12S36. 1 indexed citations
17.
Péréon, Yann, Sandra Mercier, & Armelle Magot. (2015). Physiopathologie de la dystrophie musculaire de Duchenne. Archives de Pédiatrie. 22(12). 12S18–12S23. 3 indexed citations
18.
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
19.
Barón, Daniel, Armelle Magot, R. W. Gerard, et al.. (2011). Immune Response and Mitochondrial Metabolism Are Commonly Deregulated in DMD and Aging Skeletal Muscle. PLoS ONE. 6(11). e26952–e26952. 30 indexed citations
20.
Barón, Daniel, Emeric Dubois, Audrey Bihouée, et al.. (2011). Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns. BMC Genomics. 12(1). 113–113. 18 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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