Pierre‐Philippe Luyet

1.1k citations
20 papers · 855 · h-index 12

Impact in

    • Cellular transport and secretion
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research

Papers in

    • Lipid Membrane Structure and Behavior 6
    • S100 Proteins and Annexins 1
    • Cellular transport and secretion 8
    • Endoplasmic Reticulum Stress and Disease 1

Pierre‐Philippe Luyet

20 papers receiving 849 citations

Peers

Pierre‐Philippe Luyet
Comparison fields: 5 of 78
  • Cell Biology 296
  • Physiology 80
  • Virology 47
  • Anesthesiology and Pain Medicine 48
  • Molecular Biology 467
Replace D.S. Keller with:
D.S. Keller United States
Delphine Judith France
Komla Sobo Switzerland
Elizabeth Sztul United States
Masami Matsubae Japan
Joseph Goodhouse United States
Magali Chemali Canada
Aliaksandr Khaminets Germany
Annie Laplante Canada
Colin Herd United Kingdom
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Citations per field
00.5×
D.S. Keller · 1×
Citations per year

Countries citing papers authored by Pierre‐Philippe Luyet

Since Specialization
Citations

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

Fields of papers citing papers by Pierre‐Philippe Luyet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre‐Philippe Luyet. 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 Pierre‐Philippe Luyet. The network helps show where Pierre‐Philippe Luyet may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2005267
2 2007131
3 200886
4 200884
5 200883
6 200854
7 200629
8 201826
9 202323
10 200820
11 201817
12 202112
13 20206
14 20244
15 20243
16 20253
17 20073
18 20232
19 20251
20 20071

About Pierre‐Philippe Luyet

Pierre‐Philippe Luyet is a scholar working on Molecular Biology, Cell Biology, Physiology, Anesthesiology and Pain Medicine and Cognitive Neuroscience, having authored 20 papers that have together received 855 indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (6 papers), Calcium signaling and nucleotide metabolism (4 papers), Pain Management and Treatment (3 papers), Sleep and related disorders (3 papers), Sleep and Wakefulness Research (3 papers), S100 Proteins and Annexins (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cell Biology (296 citations), Physiology (80 citations), Virology (47 citations), Anesthesiology and Pain Medicine (48 citations) and Molecular Biology (467 citations). Pierre‐Philippe Luyet has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Jean Grüenberg, Thomas Falguières, Robert G. Parton, Véronique Pons, Isabelle Blanc, Charles Ferguson, Nathalie Mayran, Neil Emans, Julien Fauré and Nicolas Demaurex. Their work appears in journals such as Obesity, Experimental Cell Research, Sleep Medicine, Molecular Biology of the Cell and PLoS ONE.

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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