E Bernard

2.8k citations
56 papers · 596 · h-index 15

Impact in

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

Papers in

E Bernard

44 papers receiving 582 citations

Peers

E Bernard
Comparison fields: 5 of 87
  • Neurology 223
  • Genetics 86
  • Neurology 58
  • Cellular and Molecular Neuroscience 76
  • Epidemiology 117
Replace J. F. Kurtzke with:
J. F. Kurtzke United States
N. Just France
Maria Grazia Piccinno Italy
Christiane Massicotte United States
R Crols Belgium
Wiesław Drozdowski Poland
Weikan Wang United States
Dehao Yang China
Stephen Keddie United Kingdom
E Bernard relative to J. F. Kurtzke United States J. F. Kurtzke's profile →
Citations per field
00.5×8.2×
J. F. Kurtzke · 1×
Citations per year

Countries citing papers authored by E Bernard

Since Specialization
Citations

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

Fields of papers citing papers by E Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201099
2 201851
3 202040
4 201832
5 202030
6 201328
7 201626
8 201826
9 201924
10 201619
11 201518
12 201417
13 201716
14 201916
15 201815
16 201613
17 202112
18 201910
19 202010
20 202110

About E Bernard

E Bernard is a scholar working on Neurology, Cellular and Molecular Neuroscience, Epidemiology, Molecular Biology and Genetics, having authored 56 papers that have together received 596 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (19 papers), Neurogenetic and Muscular Disorders Research (6 papers), Neurological diseases and metabolism (5 papers), Genetic Neurodegenerative Diseases (5 papers), Hereditary Neurological Disorders (5 papers), Tuberculosis Research and Epidemiology (5 papers), Prion Diseases and Protein Misfolding (4 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Neurology (223 citations), Genetics (86 citations), Neurology (58 citations), Cellular and Molecular Neuroscience (76 citations) and Epidemiology (117 citations). E Bernard has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Pascal Leblanc, Emmanuel Broussolle, Stéphane Thobois, Nathalie Streichenberger, Isabelle Quadrio, Martine Valette, Florence Morfin, Vanessa Escuret, Armand Perret‐Liaudet and D. Floret. Their work appears in journals such as Journal of Neurology, Neurology Neuroimmunology & Neuroinflammation, Annals of Neurology, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration and iScience.

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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