Davide Pareyson

14.1k total citations
252 papers, 7.9k citations indexed

About

Davide Pareyson is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Davide Pareyson has authored 252 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Cellular and Molecular Neuroscience, 113 papers in Neurology and 82 papers in Molecular Biology. Recurrent topics in Davide Pareyson's work include Hereditary Neurological Disorders (148 papers), Genetic Neurodegenerative Diseases (76 papers) and Botulinum Toxin and Related Neurological Disorders (58 papers). Davide Pareyson is often cited by papers focused on Hereditary Neurological Disorders (148 papers), Genetic Neurodegenerative Diseases (76 papers) and Botulinum Toxin and Related Neurological Disorders (58 papers). Davide Pareyson collaborates with scholars based in Italy, United States and United Kingdom. Davide Pareyson's co-authors include Chiara Marchesi, Angelo Sghirlanzoni, Giuseppe Lauria, Mary M. Reilly, Michela Morbin, Matilde Laurá, Paola Saveri, Ettore Salsano, Giuseppe Piscosquito and Franco Taroni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Brain.

In The Last Decade

Davide Pareyson

243 papers receiving 7.8k citations

Peers

Davide Pareyson
Comparison fields: 5 of 124
  • Cellular and Molecular Neuroscience 4.5k
  • Neurology 3.6k
  • Molecular Biology 2.4k
  • Neurology 1.3k
  • Physiology 1.1k
Replace Michael E. Shy with:
Michael E. Shy United States
Wilfred F.A. den Dunnen Netherlands
Thomas D. Bird United States
Laurie J. Ozelius United States
Imaharu Nakano Japan
Angelo Schenone Italy
Fusahiro Ikuta Japan
John Woulfe Canada
Jean‐Michel Vallat France
A. E. Harding United Kingdom
Michael E. Shy United States View profile →
Citations per field, relative to Davide Pareyson
Davide Pareyson · 1×
Citations per year, relative to Davide Pareyson
Davide Pareyson · 1×

Countries citing papers authored by Davide Pareyson

Since Specialization
Citations

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

Fields of papers citing papers by Davide Pareyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Pareyson

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Pareyson. A scholar is included among the top collaborators of Davide Pareyson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Davide Pareyson. Davide Pareyson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 0
5 2
6 4
7 3
8 10
9 12
10 4
11 14
12 37
13 6
14 19
15 3
16 9
17 15
18 24
19 31
20
Autosomal dominant cerebellar ataxias: Genotype frequency and clinical/molecular correlations
1

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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