Raphaëlle Pardossi‐Piquard

3.7k citations
29 papers · 1.7k · h-index 19

Impact in

  • Physiology top 1%
    • Alzheimer's disease research and treatments
    • Cholinesterase and Neurodegenerative Diseases

Papers in

    • Alzheimer's disease research and treatments 25
    • Prion Diseases and Protein Misfolding 4
    • 14-3-3 protein interactions 2

Raphaëlle Pardossi‐Piquard

29 papers receiving 1.7k citations

Peers

Raphaëlle Pardossi‐Piquard
Comparison fields: 5 of 71
  • Physiology 1.2k
  • Pharmacology 345
  • Biological Psychiatry 43
  • Cellular and Molecular Neuroscience 330
  • Cell Biology 293
Replace Lujia Zhou with:
Lujia Zhou Belgium
Vicki Olm United States
Simone Eggert Germany
Paul Fraser Canada
Hongjin Wen United States
Hahn-Jun Lee Japan
Misaki Sekiguchi Japan
Nobumasa Takasugi Japan
Fiona M. Laird United States
Fiona Pickford United States
Raphaëlle Pardossi‐Piquard relative to Lujia Zhou Belgium Lujia Zhou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raphaëlle Pardossi‐Piquard

Since Specialization
Citations

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

Fields of papers citing papers by Raphaëlle Pardossi‐Piquard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphaëlle Pardossi‐Piquard. 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 Raphaëlle Pardossi‐Piquard. The network helps show where Raphaëlle Pardossi‐Piquard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005284
2 2006241
3 2016171
4 2012161
5 2006142
6 2011127
7 201270
8 201752
9 201945
10 201844
11 202140
12 200739
13 200634
14 201033
15 201131
16 201931
17 200929
18 200923
19 201619
20 200918

About Raphaëlle Pardossi‐Piquard

Raphaëlle Pardossi‐Piquard is a scholar working on Physiology, Molecular Biology, Pharmacology, Oncology and Cell Biology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (25 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Prion Diseases and Protein Misfolding (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Cellular transport and secretion (3 papers), 14-3-3 protein interactions (2 papers), Cancer-related Molecular Pathways (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Physiology (1.2k citations), Pharmacology (345 citations), Biological Psychiatry (43 citations), Cellular and Molecular Neuroscience (330 citations) and Cell Biology (293 citations). Raphaëlle Pardossi‐Piquard has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Frédéric Checler, Peter St George‐Hyslop, Inger Lauritzen, Cristine Alvès da Costa, Charlotte Bauer, Alexandre Bourgeois, Claire Sunyach, Bruno Vincent, Julie Dunys and Jean Sévalle. Their work appears in journals such as Journal of Biological Chemistry, Current Alzheimer Research, Journal of Neurochemistry, Journal of Alzheimer s Disease and Journal of Neuroscience.

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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