Frédéric Darios

4.2k citations
41 papers · 2.5k · h-index 28

Impact in

    • Hereditary Neurological Disorders
    • Neuroscience and Neuropharmacology Research
  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism

Papers in

Frédéric Darios

41 papers receiving 2.5k citations

Peers

Frédéric Darios
Comparison fields: 5 of 113
  • Cellular and Molecular Neuroscience 899
  • Neurology 733
  • Neurology 382
  • Cell Biology 664
  • Horticulture 25
Replace Akiko Furuta with:
Akiko Furuta Japan
Bernard Brugg France
Simonetta Sipione Canada
J. Alex Parker Canada
Takumi Akagi Japan
Neelam Shahani United States
Marc Gleichmann United States
Alberto Ferri Italy
Santiago Ambrosio Spain
Etty Cortés United States
Frédéric Darios relative to Akiko Furuta Japan Akiko Furuta's profile →
Citations per field
00.5×1.5×2.3×
Akiko Furuta · 1×
Citations per year

Countries citing papers authored by Frédéric Darios

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Darios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003323
2 2006281
3 2010186
4 2009137
5 2001131
6 2003131
7 2012123
8 201094
9 201782
10 200676
11 200775
12 201569
13 202060
14 201859
15 200358
16 201157
17 200757
18 201649
19 200544
20 200042

About Frédéric Darios

Frédéric Darios is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Physiology, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (18 papers), Hereditary Neurological Disorders (10 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Autophagy in Disease and Therapy (7 papers), Lipid Membrane Structure and Behavior (6 papers), Neurological diseases and metabolism (6 papers), Lysosomal Storage Disorders Research (6 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (899 citations), Neurology (733 citations), Neurology (382 citations), Cell Biology (664 citations) and Horticulture (25 citations). Frédéric Darios has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Bazbek Davletov, Violeta Ruipérez, Giovanni Stévanin, Merle Ruberg, Patrick P. Michel, Emma Connell, Alexis Brice, Jean‐Denis Troadec, Luis M. Gutiérrez and Anastasia Shakirzyanova. Their work appears in journals such as Human Molecular Genetics, Journal of Neurochemistry, Neurobiology of Disease, Frontiers in Neuroscience and EMBO Reports.

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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