Michel Fontés

1.7k total citations
46 papers, 1.2k citations indexed

About

Michel Fontés is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Michel Fontés has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 11 papers in Genetics. Recurrent topics in Michel Fontés's work include Hereditary Neurological Disorders (16 papers), Vitamin C and Antioxidants Research (9 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Michel Fontés is often cited by papers focused on Hereditary Neurological Disorders (16 papers), Vitamin C and Antioxidants Research (9 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Michel Fontés collaborates with scholars based in France, Germany and United States. Michel Fontés's co-authors include E. Passage, Sophie Belin, Xavier Thirion, Andrée Robaglia‐Schlupp, J F Pellissier, Stéphane Burtey, Laurence Colleaux, Carlos Cardoso, Marta Riera and C. Mignon and has published in prestigious journals such as Nature Medicine, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Michel Fontés

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Fontés France 19 570 462 233 207 190 46 1.2k
Kenju Hara Japan 15 385 0.7× 265 0.6× 138 0.6× 230 1.1× 52 0.3× 40 778
Carmen Espinós Spain 26 1.1k 1.8× 831 1.8× 138 0.6× 249 1.2× 121 0.6× 95 1.9k
Annette Hammes Germany 19 1.2k 2.2× 147 0.3× 445 1.9× 230 1.1× 88 0.5× 33 2.1k
Pieter J.L.M. Snijders Netherlands 14 260 0.5× 223 0.5× 173 0.7× 319 1.5× 321 1.7× 22 1.1k
Elsebet Østergaard Denmark 26 1.6k 2.8× 151 0.3× 298 1.3× 95 0.5× 66 0.3× 67 2.2k
Allyson Cole-Strauss United States 20 920 1.6× 319 0.7× 280 1.2× 346 1.7× 89 0.5× 32 1.5k
Jack C. Reidling United States 20 314 0.6× 179 0.4× 47 0.2× 257 1.2× 201 1.1× 30 866
Carole Doré Canada 14 792 1.4× 239 0.5× 165 0.7× 51 0.2× 57 0.3× 23 1.3k
Michiya Ohta Japan 19 421 0.7× 305 0.7× 46 0.2× 235 1.1× 156 0.8× 36 990
Claudio Castellan Italy 13 435 0.8× 169 0.4× 293 1.3× 208 1.0× 58 0.3× 16 926

Countries citing papers authored by Michel Fontés

Since Specialization
Citations

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

Fields of papers citing papers by Michel Fontés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Fontés

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Fontés. A scholar is included among the top collaborators of Michel Fontés 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 Michel Fontés. Michel Fontés 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.
Bihel, Frédéric, Burkhard Gess, & Michel Fontés. (2016). CMTX Disorder and CamKinase. Frontiers in Cellular Neuroscience. 10. 49–49. 3 indexed citations
2.
Fontés, Michel, et al.. (2013). Ascorbic acid derivatives as a new class of antiproliferative molecules. Cancer Letters. 338(2). 317–327. 12 indexed citations
3.
Fontés, Michel, et al.. (2011). Connexin 32 is involved in mitosis. Glia. 60(3). 457–464. 11 indexed citations
4.
Belin, Sophie, et al.. (2009). Antiproliferative Effect of Ascorbic Acid Is Associated with the Inhibition of Genes Necessary to Cell Cycle Progression. PLoS ONE. 4(2). e4409–e4409. 67 indexed citations
5.
Burtey, Stéphane, Marta Riera, Judith Luciani, et al.. (2008). Centrosome overduplication and mitotic instability in PKD2 transgenic lines. Cell Biology International. 32(10). 1193–1198. 39 indexed citations
6.
Béringue, Vincent, Annick Le Dur, Philippe Tixador, et al.. (2008). Prominent and Persistent Extraneural Infection in Human PrP Transgenic Mice Infected with Variant CJD. PLoS ONE. 3(1). e1419–e1419. 91 indexed citations
7.
Belin, Sophie, et al.. (2008). Ascorbic acid is a regulator of the intracellular cAMP concentration: Old molecule, new functions?. FEBS Letters. 582(25-26). 3614–3618. 34 indexed citations
8.
Riera, Marta, Stéphane Burtey, & Michel Fontés. (2006). Transcriptome analysis of a rat PKD model: Importance of genes involved in extracellular matrix metabolism. Kidney International. 69(9). 1558–1563. 29 indexed citations
9.
Passage, E., et al.. (2004). Ascorbic acid treatment corrects the phenotype of a mouse model of Charcot-Marie-Tooth disease. Nature Medicine. 10(4). 396–401. 262 indexed citations
10.
Vinay, Laurent, et al.. (2003). Close relationship between motor impairments and loss of functional motoneurons in a Charcot–Marie–Tooth type 1A model. Neuroscience. 116(3). 695–703. 15 indexed citations
11.
Jamon, Marc, et al.. (2001). Behavioural profiling of a murine Charcot–Marie–Tooth disease type 1A model. European Journal of Neuroscience. 13(8). 1625–1634. 34 indexed citations
12.
Langnaese, Kristina, et al.. (2000). Cloning of Z39Ig, a novel gene with immunoglobulin-like domains located on human chromosome X. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1492(2-3). 522–525. 34 indexed citations
13.
Sabéran‐Djoneidi, Délara, et al.. (2000). Molecular dissection of the Schwann cell specific promoter of the PMP22 gene. Gene. 248(1-2). 223–231. 41 indexed citations
14.
Jay, Philippe, Sylvie Diriong, Sylvie Taviaux, et al.. (1997). Isolation and Regional Mapping of cDNAs Expressed during Early Human Development. Genomics. 39(1). 104–108. 14 indexed citations
15.
Latour, Philippe, Nicolas Lévy, Mathews L. Paret, et al.. (1997). Mutations in the X-linked form of Charcot-Marie-Tooth disease in the French population. Neurogenetics. 1(2). 117–123. 11 indexed citations
16.
Chevillard, Christophe, et al.. (1993). Chromosomal localization of human homologs of the Drosophila heterochromatin protein 1 (HP1) gene. Mammalian Genome. 4(2). 124–126. 11 indexed citations
17.
Moncla, Anne, et al.. (1993). Physical mapping of microdeletions of the chromosome 17 short arm associated with Smith-Magenis syndrome. Human Genetics. 90(6). 657–60. 13 indexed citations
18.
Muscatelli, Françoise, N. Philip, A. Moncla, et al.. (1992). Physical mapping of an Xq-proximal interstitial duplication in a male. Human Genetics. 88(6). 691–694. 11 indexed citations
19.
Consalez, G. Giacomo, Jozef Gécz, Branka Dabovic, et al.. (1992). Fine mapping and cloning of the breakpoint associated with menkes syndrome in a female patient. Genomics. 14(3). 557–561. 5 indexed citations
20.
Parco, Yannick Le, et al.. (1991). Formation of the extracellular matrix during the epimorphic anterior regeneration of Owenia fusiformis: autoradiographical and in situ hybridization studies. The International Journal of Developmental Biology. 35(2). 109–119. 12 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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