Laurent Pradier

7.2k citations
101 papers · 5.5k · h-index 40

Impact in

Papers in

    • Alzheimer's disease research and treatments 57
    • Receptor Mechanisms and Signaling 9
    • Prion Diseases and Protein Misfolding 8

Laurent Pradier

99 papers receiving 5.3k citations

Peers

Laurent Pradier
Comparison fields: 5 of 124
  • Physiology 2.9k
  • Cellular and Molecular Neuroscience 1.8k
  • Neurology 753
  • Biological Psychiatry 200
  • Developmental Neuroscience 245
Replace Max Holzer with:
Max Holzer Germany
Linda Kotilinek United States
David E. Kang United States
Takeshi Kawarabayashi Japan
Richard F. Cowburn Sweden
John J. LaFrancois United States
Yasuji Matsuoka United States
Satyabrata Kar Canada
Yazi D. Ke Australia
Thierry Bussière United States
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Citations per field
00.5×1.5×
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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-authors

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

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004347
2 2001296
3 2004259
4 2003242
5 2004224
6 2005192
7 1993186
8 1994172
9 2009171
10 2012151
11 1999139
12 2004139
13 2004132
14 2000129
15 2001112
16 2002109
17 200497
18 199695
19 199795
20 201988

About Laurent Pradier

Laurent Pradier is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Neurology, having authored 101 papers that have together received 5.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (57 papers), Neuroscience and Neuropharmacology Research (14 papers), Cholinesterase and Neurodegenerative Diseases (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Nuclear Receptors and Signaling (11 papers), Receptor Mechanisms and Signaling (9 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 (753 citations), Biological Psychiatry (200 citations) and Developmental Neuroscience (245 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 American Journal Of Pathology.

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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