Raphaël Bernard‐Valnet

1.7k citations
28 papers · 1.1k · h-index 17

Impact in

  • Neurology top 2%
    • Long-Term Effects of COVID-19
    • Peripheral Neuropathies and Disorders
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Multiple Sclerosis Research Studies

Papers in

    • Peripheral Neuropathies and Disorders 6
    • Long-Term Effects of COVID-19 5
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Multiple Sclerosis Research Studies 11

Raphaël Bernard‐Valnet

25 papers receiving 1.1k citations

Peers

Raphaël Bernard‐Valnet
Comparison fields: 5 of 79
  • Neurology 554
  • Pathology and Forensic Medicine 351
  • Neurology 114
  • Critical Care and Intensive Care Medicine 53
  • Endocrine and Autonomic Systems 68
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Citations per year

Countries citing papers authored by Raphaël Bernard‐Valnet

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Bernard‐Valnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020130
2 2013129
3 2016110
4 2020107
5 201681
6 202075
7 201575
8 201564
9 202058
10 202133
11 201530
12 201330
13 201528
14 202127
15 202124
16 202322
17 201919
18 201916
19 20219
20 20189

About Raphaël Bernard‐Valnet

Raphaël Bernard‐Valnet is a scholar working on Neurology, Pathology and Forensic Medicine, Cognitive Neuroscience, Oncology and Neurology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (11 papers), Peripheral Neuropathies and Disorders (6 papers), Long-Term Effects of COVID-19 (5 papers), Sleep and Wakefulness Research (4 papers), Polyomavirus and related diseases (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Full-Duplex Wireless Communications (2 papers). The work is most often cited by research in Neurology (554 citations), Pathology and Forensic Medicine (351 citations), Neurology (114 citations), Critical Care and Intensive Care Medicine (53 citations) and Endocrine and Autonomic Systems (68 citations). Raphaël Bernard‐Valnet has collaborated with scholars based in France, Switzerland and Austria. Frequent co-authors include Renaud Du Pasquier, Romain Marignier, Roland Liblau, Yves Dauvilliers, Clémence Queriault, Xuan‐Hung Nguyen, Sandra Vukusic, Andrea O. Rossetti, Lidia Yshii and Elisa Maria de Sousa Russo. Their work appears in journals such as European Journal of Neurology, Neurology, Neurology Neuroimmunology & Neuroinflammation, Multiple Sclerosis Journal and Multiple Sclerosis and Related Disorders.

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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