Catherine Marquer

29 papers receiving 1.1k citations

Peers

Catherine Marquer
Comparison fields: 5 of 100
  • Physiology 389
  • Biological Psychiatry 25
  • Cell Biology 168
  • Molecular Biology 610
  • Cellular and Molecular Neuroscience 161
Replace Charles E. Nolan with:
Charles E. Nolan United States
Jacqueline F. Aitken New Zealand
Maja A. Tocilescu Germany
Sophia Schedin‐Weiss Sweden
Tianya Liu China
Kazuhiko Oishi Japan
Stephanie L. Barrow United Kingdom
Tina Wenz Germany
Paul J. Barrett United States
Parvana Hajieva Germany
Catherine Marquer relative to Charles E. Nolan United States Charles E. Nolan's profile →
Citations per field
00.5×3.1×
Charles E. Nolan · 1×
Citations per year

Countries citing papers authored by Catherine Marquer

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Marquer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Catherine Marquer, 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 Catherine Marquer Line = papers co-authored together Catherine Marquer 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 2015178
2 2011148
3 2012122
4 201478
5 201072
6 200369
7 200943
8 201741
9 201840
10 201639
11 201139
12 201039
13 201138
14 201238
15 200631
16 200828
17 201527
18 202318
19 201013
20 200610

About Catherine Marquer

Catherine Marquer is a scholar working on Molecular Biology, Physiology, Surgery, Cellular and Molecular Neuroscience and Cell Biology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Receptor Mechanisms and Signaling (6 papers), Lipid Membrane Structure and Behavior (6 papers), Cholesterol and Lipid Metabolism (5 papers), Cellular transport and secretion (4 papers), Ion channel regulation and function (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Physiology (389 citations), Biological Psychiatry (25 citations), Cell Biology (168 citations), Molecular Biology (610 citations) and Cellular and Molecular Neuroscience (161 citations). Catherine Marquer has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Marie‐Claude Potier, Charles Duyckaerts, Jack‐Christophe Cossec, Gilles Mourier, Denis Servent, Carole Fruchart‐Gaillard, Sandrine Lévêque‐Fort, Viviane Devauges, Frédéric Saudou and Sandrine Lécart. Their work appears in journals such as Molecular Pharmacology, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Visualized Experiments, Molecular Neurobiology and European 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.

Explore authors with similar magnitude of impact