Fabienne Calvas

745 citations
6 papers · 221 · h-index 6

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Botulinum Toxin and Related Neurological Disorders
    • Transcranial Magnetic Stimulation Studies
    • Genetic Neurodegenerative Diseases

Papers in

    • Transcranial Magnetic Stimulation Studies 2
    • Parkinson's Disease Mechanisms and Treatments 1
    • Botulinum Toxin and Related Neurological Disorders 1

Fabienne Calvas

6 papers receiving 217 citations

Peers

Fabienne Calvas
Comparison fields: 5 of 42
  • Neurology 85
  • Neurology 37
  • Cellular and Molecular Neuroscience 74
  • Pharmacology 36
  • Rehabilitation 8
Replace Shusaku Omoto with:
Shusaku Omoto Japan
Takafumi Nagaoka Japan
C. D’Avino Italy
Symela Chatzikonstantinou Greece
Francesco Teatini Italy
Eleni Karantali Greece
Kim I. Chisholm United Kingdom
Łukasz Milanowski Poland
Sarah Doss Germany
Erhe Xu China
Fabienne Calvas relative to Shusaku Omoto Japan Shusaku Omoto's profile →
Citations per field
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Shusaku Omoto · 1×
Citations per year

Countries citing papers authored by Fabienne Calvas

Since Specialization
Citations

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

Fields of papers citing papers by Fabienne Calvas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201070
2 201752
3 201733
4 200832
5 201722
6 201012

About Fabienne Calvas

Fabienne Calvas is a scholar working on Neurology, Pharmacology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Neurology, having authored 6 papers that have together received 221 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (2 papers), Biomedical Research and Pathophysiology (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Stroke Rehabilitation and Recovery (1 paper), Pain Mechanisms and Treatments (1 paper), Genetic Neurodegenerative Diseases (1 paper), Botulinum Toxin and Related Neurological Disorders (1 paper) and Motor Control and Adaptation (1 paper). The work is most often cited by research in Neurology (85 citations), Neurology (37 citations), Cellular and Molecular Neuroscience (74 citations), Pharmacology (36 citations) and Rehabilitation (8 citations). Fabienne Calvas has collaborated with scholars based in France and United States. Frequent co-authors include Claire Thalamas, Monique Galitzky, A. Gerdelat-Mas, Fabienne Ory‐Magne, Christine Brefel‐Courbon, M. Simonetta‐Moreau, Pierre Payoux, Laure Pourcel, Estelle Dellapina and H. Hanaire. Their work appears in journals such as Movement Disorders, Neurology, Diabetes Obesity and Metabolism, Human Brain Mapping and Clinical Neurophysiology.

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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