Mathilde Duchesne

1000 citations
34 papers · 481 · h-index 14

Impact in

  • Neurology top 10%
    • Peripheral Neuropathies and Disorders
    • Botulinum Toxin and Related Neurological Disorders
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Peripheral Neuropathies and Disorders 9
    • Botulinum Toxin and Related Neurological Disorders 4
    • Glioma Diagnosis and Treatment 5

Mathilde Duchesne

32 papers receiving 475 citations

Peers

Mathilde Duchesne
Comparison fields: 5 of 70
  • Neurology 149
  • Genetics 71
  • Cellular and Molecular Neuroscience 81
  • Virology 19
  • Structural Biology 5
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Citations per field
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Citations per year

Countries citing papers authored by Mathilde Duchesne

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Duchesne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 201942
3 201837
4 202130
5 202028
6 202127
7 201926
8 201826
9 201724
10 201519
11 201717
12 201816
13 202215
14 201713
15 201713
16 202012
17 202211
18 201911
19 201811
20 20209

About Mathilde Duchesne

Mathilde Duchesne is a scholar working on Neurology, Genetics, Cellular and Molecular Neuroscience, Oncology and Epidemiology, having authored 34 papers that have together received 481 indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (9 papers), Glioma Diagnosis and Treatment (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Genetic Neurodegenerative Diseases (3 papers), Hereditary Neurological Disorders (3 papers), Meningioma and schwannoma management (3 papers), Cancer Treatment and Pharmacology (2 papers) and Inflammatory Myopathies and Dermatomyositis (2 papers). The work is most often cited by research in Neurology (149 citations), Genetics (71 citations), Cellular and Molecular Neuroscience (81 citations), Virology (19 citations) and Structural Biology (5 citations). Mathilde Duchesne has collaborated with scholars based in France, Canada and Algeria. Frequent co-authors include Laurent Magy, Laurence Richard, Jean‐Michel Vallat, Stéphane Mathis, Philippe Corcia, Michel Wager, Julie Godet, Lucie Karayan‐Tapon, Karima Ghorab and Franck Sturtz. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Journal of the Neurological Sciences, European Journal of Neurology, Journal of Neuro-Oncology and Amyloid.

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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