Frédérique Rau

1.6k citations
8 papers · 951 · h-index 7

Impact in

    • Genetic Neurodegenerative Diseases
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Mitochondrial Function and Pathology
    • Muscle Physiology and Disorders
    • RNA and protein synthesis mechanisms
    • RNA regulation and disease

Papers in

Frédérique Rau

8 papers receiving 945 citations

Peers

Frédérique Rau
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 303
  • Molecular Biology 854
  • Aging 18
  • Neurology 112
  • Genetics 73
Replace Ting Zhao with:
Ting Zhao China
Ricardos Tabet France
Fernande Freyermuth United States
Victor M. Miller United States
Cynthia M. Gouvion United States
Марек Напиерала United States
Andrey Damianov United States
Megan S. Keiser United States
Yan Hong United States
Chika Washizu Japan
Frédérique Rau relative to Ting Zhao China Ting Zhao's profile →
Citations per field
00.5×1.5×1.9×
Ting Zhao · 1×
Citations per year

Countries citing papers authored by Frédérique Rau

Since Specialization
Citations

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

Fields of papers citing papers by Frédérique Rau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédérique Rau, 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 Frédérique Rau Line = papers co-authored together Frédérique Rau links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2010290
2 2018231
3 2011219
4 2021137
5 201629
6 202225
7 201819
8 20241

About Frédérique Rau

Frédérique Rau is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Genetics, having authored 8 papers that have together received 951 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Genetic Neurodegenerative Diseases (5 papers), Muscle Physiology and Disorders (3 papers), Mitochondrial Function and Pathology (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), RNA modifications and cancer (1 paper), RNA regulation and disease (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (303 citations), Molecular Biology (854 citations), Aging (18 citations), Neurology (112 citations) and Genetics (73 citations). Frédérique Rau has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Rickie Patani, Thomas R. Peskett, Alan R. Lowe, Jonathan O’Driscoll, Helen R. Saibil, Nicolas Charlet‐Berguerand, Stéphane Richard, Anne Schneider, Chantal Sellier and Rob Willemsen. Their work appears in journals such as Nature Biomedical Engineering, The EMBO Journal, Nature Structural & Molecular Biology, Brain and Molecular Cell.

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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