Jean Mathieu

7.9k total citations · 1 hit paper
142 papers, 4.9k citations indexed

About

Jean Mathieu is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Jean Mathieu has authored 142 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Cellular and Molecular Neuroscience, 64 papers in Neurology and 56 papers in Molecular Biology. Recurrent topics in Jean Mathieu's work include Genetic Neurodegenerative Diseases (96 papers), Parkinson's Disease Mechanisms and Treatments (42 papers) and Mitochondrial Function and Pathology (30 papers). Jean Mathieu is often cited by papers focused on Genetic Neurodegenerative Diseases (96 papers), Parkinson's Disease Mechanisms and Treatments (42 papers) and Mitochondrial Function and Pathology (30 papers). Jean Mathieu collaborates with scholars based in Canada, France and United States. Jean Mathieu's co-authors include Paul Bégin, Claude Prévost, Cynthia Gagnon, Jean‐Pierre Bouchard, Bernard Brais, Luc Laberge, Marc De Braekeleer, Hélène Boivin, M. Gaudreault and Danièle Meunier and has published in prestigious journals such as Nature Genetics, Brain and Neurology.

In The Last Decade

Jean Mathieu

135 papers receiving 4.8k citations

Hit Papers

Short GCG expansions in the PABP2 gene cause oculopharyng... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Mathieu Canada 38 3.2k 2.8k 1.8k 505 431 142 4.9k
Hajime Tanaka Japan 31 2.6k 0.8× 2.5k 0.9× 1.5k 0.8× 294 0.6× 281 0.7× 138 4.4k
Bart P.C. van de Warrenburg Netherlands 47 3.4k 1.1× 2.3k 0.8× 3.5k 1.9× 1.4k 2.8× 815 1.9× 213 7.3k
Bernard Brais Canada 38 2.2k 0.7× 3.8k 1.4× 677 0.4× 510 1.0× 142 0.3× 190 5.1k
Paula Coutinho Portugal 31 3.3k 1.0× 2.8k 1.0× 1.6k 0.8× 928 1.8× 275 0.6× 87 4.7k
Felicia B. Axelrod United States 36 2.7k 0.9× 1.3k 0.5× 1.0k 0.6× 709 1.4× 182 0.4× 149 4.7k
Richard Roxburgh New Zealand 25 1.3k 0.4× 1.9k 0.7× 591 0.3× 223 0.4× 189 0.4× 78 3.0k
Paul J. Reier United States 48 2.9k 0.9× 1.4k 0.5× 432 0.2× 617 1.2× 269 0.6× 134 7.3k
Hyder A. Jinnah United States 43 2.8k 0.9× 2.0k 0.7× 4.7k 2.6× 668 1.3× 383 0.9× 236 7.7k
Andrew Feigin United States 42 2.3k 0.7× 1.3k 0.5× 3.6k 2.0× 474 0.9× 402 0.9× 94 5.7k
Richard T. Moxley United States 47 4.2k 1.3× 6.3k 2.3× 1.8k 1.0× 258 0.5× 372 0.9× 141 8.2k

Countries citing papers authored by Jean Mathieu

Since Specialization
Citations

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

Fields of papers citing papers by Jean Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Mathieu

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Mathieu. A scholar is included among the top collaborators of Jean Mathieu 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 Jean Mathieu. Jean Mathieu 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.
Moreau, Claudia, Marc Gagnon, Jean Mathieu, et al.. (2025). Rare diseases load through the study of a regional population. PLoS Genetics. 21(10). e1011876–e1011876.
3.
Côté, Isabelle, et al.. (2023). Natural History of Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay: a 4-Year Longitudinal Study. The Cerebellum. 23(2). 489–501. 5 indexed citations
4.
Laberge, Luc, Alexandre Maltais, Julie Auclair, Jean Mathieu, & Cynthia Gagnon. (2023). Evolution of Sleep Complaints in Myotonic Dystrophy Type 1: A 9-Year Longitudinal Study. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 51(1). 137–139. 2 indexed citations
5.
Brais, Bernard, et al.. (2023). Characterization of muscle strength and mobility in oculopharyngeal muscular dystrophy. Muscle & Nerve. 68(6). 841–849. 2 indexed citations
6.
Mariño, Tania Cruz, Philippe Caron, Charles Morin, et al.. (2021). French-Canadian families from Saguenay-Lac-Saint-Jean: a new founder population for APECED. Endocrine. 75(1). 48–58. 1 indexed citations
7.
Hébert, Luc J., et al.. (2021). Functional mobility in walking adult population with ataxia of Charlevoix-Saguenay. Orphanet Journal of Rare Diseases. 16(1). 432–432. 3 indexed citations
8.
Pellerin, David, Benjamin Ellezam, Emily C. Troiano, et al.. (2020). Novel Recessive TNNT1 Congenital Core‐Rod Myopathy in French Canadians. Annals of Neurology. 87(4). 568–583. 15 indexed citations
9.
Laberge, Luc, Benjamin Gallais, Julie Auclair, et al.. (2019). Predicting daytime sleepiness and fatigue: a 9-year prospective study in myotonic dystrophy type 1. Journal of Neurology. 267(2). 461–468. 22 indexed citations
10.
11.
Lévesque, Sébastien, Christiane Auray‐Blais, Michel Boutin, et al.. (2016). Diagnosis of late-onset Pompe disease and other muscle disorders by next-generation sequencing. Orphanet Journal of Rare Diseases. 11(1). 8–8. 43 indexed citations
13.
Gallais, Benjamin, Cynthia Gagnon, Jean Mathieu, et al.. (2014). Cognitive Deficits Associated with Sleep Apnea in Myotonic Dystrophy Type 1. Journal of Neuromuscular Diseases. 1(1). 95–98. 5 indexed citations
14.
Bayat, Vafa, Isabelle Thiffault, Manish Jaiswal, et al.. (2012). Mutations in the Mitochondrial Methionyl-tRNA Synthetase Cause a Neurodegenerative Phenotype in Flies and a Recessive Ataxia (ARSAL) in Humans. PLoS Biology. 10(3). e1001288–e1001288. 121 indexed citations
15.
Mathieu, Jean, et al.. (2009). Usefulness of clinical and electrocardiographic data for predicting adverse cardiac events in patients with myotonic dystrophy. Canadian Journal of Cardiology. 25(2). e23–e27. 43 indexed citations
16.
Howard, Heidi, Nicolas Dupré, Jean Mathieu, Jean‐Pierre Bouchard, & Guy A. Rouleau. (2003). La neuropathie sensitivo-motrice héréditaire avec agénésie du corps calleux. médecine/sciences. 19(4). 414–416. 2 indexed citations
17.
Mercier, Jocelyne, Claude Prévost, James C. Engert, et al.. (2001). Rapid Detection of the Sacsin Mutations Causing Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay. Genetic Testing. 5(3). 255–259. 11 indexed citations
18.
Richter, Andréa, John D. Rioux, Jean‐Pierre Bouchard, et al.. (1999). Location Score and Haplotype Analyses of the Locus for Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay, in Chromosome Region 13q11. The American Journal of Human Genetics. 64(3). 768–775. 61 indexed citations
19.
Bégin, Paul, Jean Mathieu, José Almirall, & A. Grassino. (1997). Relationship Between Chronic Hypercapnia and Inspiratory-Muscle Weakness in Myotonic Dystrophy. American Journal of Respiratory and Critical Care Medicine. 156(1). 133–139. 92 indexed citations
20.
Braekeleer, Marc De, et al.. (1989). Familial Factors in Alzheimer’s Disease (IMAGE Project). European Neurology. 29(3). 2–8. 7 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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