Laurent Pradier

7.2k citations
98 papers · 5.2k indexed · h-index 39

Impact in

Papers in

    • Alzheimer's disease research and treatments 58
    • Neuroinflammation and Neurodegeneration Mechanisms 13

Laurent Pradier

95 papers receiving 5.1k citations

Peers

Laurent Pradier
Comparison fields: 5 of 124
  • Physiology 2.9k
  • Cellular and Molecular Neuroscience 1.8k
  • Neurology 777
  • Biological Psychiatry 211
  • Developmental Neuroscience 249
Replace Yasuji Matsuoka with:
Yasuji Matsuoka United States
Max Holzer Germany
David E. Kang United States
Linda Kotilinek United States
Richard F. Cowburn Sweden
Satyabrata Kar Canada
Steffen Roßner Germany
John J. LaFrancois United States
Takeshi Kawarabayashi Japan
Philippe Marambaud United States
Laurent Pradier relative to Yasuji Matsuoka United States Yasuji Matsuoka's profile →
Citations per field
00.5×1.5×
Yasuji Matsuoka · 1×
Citations per year

Countries citing papers authored by Laurent Pradier

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Pradier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 202112
3 201617
4 201614
5 2009164
6 200524
7 200490
8 200467
9 200312
10 200247
11 20028
12 2002107
13 2001289
14 20007
15 19992
16 199930
17 199725
18 199617
19 199614
20 198927

About Laurent Pradier

Laurent Pradier is a scholar working on Physiology, Neurology, Cellular and Molecular Neuroscience, Biological Psychiatry and Pharmacology, having authored 98 papers that have together received 5.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (58 papers), Neuroscience and Neuropharmacology Research (14 papers), Cholinesterase and Neurodegenerative Diseases (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Nuclear Receptors and Signaling (11 papers), Receptor Mechanisms and Signaling (10 papers), Prion Diseases and Protein Misfolding (8 papers) and Trace Elements in Health (7 papers). The work is most often cited by research in Physiology (2.9k citations), Cellular and Molecular Neuroscience (1.8k citations), Neurology (777 citations), Biological Psychiatry (211 citations) and Developmental Neuroscience (249 citations). Laurent Pradier has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Christian Czech, Günter Tremp, Véronique Blanchard, Thomas A. Bayer, Oliver Wirths, Thierry Canton, Gerd Multhaup, Charles Duyckaerts, Jacques Hugon and Saliha Moussaoui. Their work appears in journals such as Neurobiology of Disease, Journal of Neurochemistry, Neurobiology of Aging, Molecular Pharmacology and Alzheimer s & Dementia.

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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