Danielle Darriet

840 citations
18 papers · 709 · h-index 12

Impact in

    • Lipid metabolism and biosynthesis
  • Neurology top 10%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Peripheral Neuropathies and Disorders

Papers in

Danielle Darriet

18 papers receiving 657 citations

Peers

Danielle Darriet
Comparison fields: 5 of 81
  • Biochemistry 98
  • Neurology 108
  • Developmental Neuroscience 17
  • Radiology, Nuclear Medicine and Imaging 114
  • Cellular and Molecular Neuroscience 74
Replace John A. Melick with:
John A. Melick United States
Wolfram Bodsch Germany
P. L. Peterson United States
Tetsuya Takayanagi Japan
Enci Mary Kan Singapore
Emin Özyurt Türkiye
Nobuo Sugo Japan
Inmaculada Fernández Spain
Gary P. Kaplan United States
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Darriet

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Darriet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1985347
2 198048
3 198647
4 197936
5 197734
6 197731
7 197829
8 199523
9 199522
10 200422
11 198421
12 197813
13 198212
14 197811
15 19898
16 20083
17
[Letter: Preventive treatment of migraine with propranolol].
19761
18
[Adrenomyeloneuropathies].
19801

About Danielle Darriet

Danielle Darriet is a scholar working on Biochemistry, Cellular and Molecular Neuroscience, Clinical Biochemistry, Rheumatology and Neurology, having authored 18 papers that have together received 709 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (7 papers), Hereditary Neurological Disorders (5 papers), Lipid Membrane Structure and Behavior (3 papers), Metabolism and Genetic Disorders (3 papers), Nerve injury and regeneration (2 papers), Peripheral Neuropathies and Disorders (2 papers), Migraine and Headache Studies (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Biochemistry (98 citations), Neurology (108 citations), Developmental Neuroscience (17 citations), Radiology, Nuclear Medicine and Imaging (114 citations) and Cellular and Molecular Neuroscience (74 citations). Danielle Darriet has collaborated with scholars based in France and United States. Frequent co-authors include Robert L. Grubb, William J. Powers, Marcus E. Raichle, Claude Cassagne, J.M. Bourre, Robert C. Collins, Terry C. Der, Françoise Boiron, Claude Vital and C Brechenmacher. Their work appears in journals such as FEBS Letters, Journal of Cerebral Blood Flow & Metabolism, Journal of Neurochemistry, Journal of the Neurological Sciences and European Journal of Pharmacology.

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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