V. Brunaud-Danel

462 citations
10 papers · 359 · h-index 8

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological diseases and metabolism
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 10
    • Intracerebral and Subarachnoid Hemorrhage Research 3
    • Parkinson's Disease Mechanisms and Treatments 2
    • Histone Deacetylase Inhibitors Research 2

V. Brunaud-Danel

10 papers receiving 350 citations

Peers

V. Brunaud-Danel
Comparison fields: 5 of 50
  • Neurology 275
  • Genetics 97
  • Neurology 70
  • Developmental Neuroscience 11
  • Cellular and Molecular Neuroscience 46
Replace Maria Chiara Trolese with:
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Stephanie Shepheard Australia
Vincent Picher‐Martel Canada
Ximena Paez-Colasante United States
Eustachio D’Errico Italy
V. Brunaud-Danel relative to Maria Chiara Trolese Italy Maria Chiara Trolese's profile →
Citations per field
00.5×1.6×
Maria Chiara Trolese · 1×
Citations per year

Countries citing papers authored by V. Brunaud-Danel

Since Specialization
Citations

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

Fields of papers citing papers by V. Brunaud-Danel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Brunaud-Danel. 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 V. Brunaud-Danel. The network helps show where V. Brunaud-Danel may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2005113
2 200492
3 201034
4 200630
5 200926
6 201126
7 200923
8 200912
9 20152
10 20161

About V. Brunaud-Danel

V. Brunaud-Danel is a scholar working on Neurology, Molecular Biology, Surgery, Genetics and Physiology, having authored 10 papers that have together received 359 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Spinal Hematomas and Complications (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Alzheimer's disease research and treatments (1 paper) and High Altitude and Hypoxia (1 paper). The work is most often cited by research in Neurology (275 citations), Genetics (97 citations), Neurology (70 citations), Developmental Neuroscience (11 citations) and Cellular and Molecular Neuroscience (46 citations). V. Brunaud-Danel has collaborated with scholars based in France. Frequent co-authors include David Devos, Caroline Moreau, A. Destée, Philippe Lassalle, T. Pérez, André‐Bernard Tonnel, N. Just, Luc Defebvre, Philippe Gosset and de Sèze. Their work appears in journals such as Neurology, Neuromuscular Disorders, Neuroscience, Revue Neurologique and Amyotrophic Lateral Sclerosis.

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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