François Rivier

7.2k citations
135 papers · 2.8k indexed · h-index 31

Impact in

Papers in

    • Metabolism and Genetic Disorders 18
    • Neurogenetic and Muscular Disorders Research 14
    • Genetics and Neurodevelopmental Disorders 10
    • Genomics and Rare Diseases 10

François Rivier

133 papers receiving 2.7k citations

Peers

François Rivier
Comparison fields: 5 of 115
  • Genetics 285
  • Cellular and Molecular Neuroscience 437
  • Psychiatry and Mental health 345
  • Neurology 332
  • Molecular Biology 1.4k
Replace Maria Grazia D’Angelo with:
Maria Grazia D’Angelo Italy
Nicolas Deconinck Belgium
Makiko Ōsawa Japan
Jong‐Hee Chae South Korea
Byron A. Kakulas Australia
P. Tonali Italy
Bernard Échenne France
Maria Kinali United Kingdom
Wolfgang N. Löscher Austria
Camilo Toro United States
François Rivier relative to Maria Grazia D’Angelo Italy Maria Grazia D’Angelo's profile →
Citations per field
00.5×1.7×
Maria Grazia D’Angelo · 1×
Citations per year

Countries citing papers authored by François Rivier

Since Specialization
Citations

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

Fields of papers citing papers by François Rivier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside François Rivier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with François Rivier Line = papers co-authored together François Rivier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20234
4 20211
5 202111
6 202030
7 20152
8 20144
9 201250
10 201224
11 201111
12 20117
13 200759
14 200434
15 20021
16 20011
17 20014
18 19992
19 199934
20 19984

About François Rivier

François Rivier is a scholar working on Clinical Biochemistry, Genetics, Cellular and Molecular Neuroscience, Neurology and Rehabilitation, having authored 135 papers that have together received 2.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (40 papers), Mitochondrial Function and Pathology (20 papers), Metabolism and Genetic Disorders (18 papers), Neurogenetic and Muscular Disorders Research (14 papers), Exercise and Physiological Responses (10 papers), Genetics and Neurodevelopmental Disorders (10 papers), Genomics and Rare Diseases (10 papers) and Genetic Neurodegenerative Diseases (10 papers). The work is most often cited by research in Genetics (285 citations), Cellular and Molecular Neuroscience (437 citations), Psychiatry and Mental health (345 citations), Neurology (332 citations) and Molecular Biology (1.4k citations). François Rivier has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include Stéphanie Clarke, Bernard Échenne, Dalil Hamroun, Gisèle Bonne, Agathe Roubertie, Dominique Mornet, Gérald Hugon, Véronique Humbertclaude, Stéfan Matecki and Louise Benarroch. Their work appears in journals such as Neuromuscular Disorders, Brain and Development, European Journal of Paediatric Neurology, European Journal of Human Genetics and Neuropediatrics.

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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