Catherine Marquer

29 papers receiving 1.1k citations

Peers

Catherine Marquer
Comparison fields: 5 of 99
  • Physiology 398
  • Biological Psychiatry 32
  • Cell Biology 175
  • Cellular and Molecular Neuroscience 162
  • Molecular Biology 604
Replace Charles E. Nolan with:
Charles E. Nolan United States
María Clara Franco United States
Andrea Magrì Italy
Tianya Liu China
Tina Wenz Germany
Maja A. Tocilescu Germany
Natalia V. Koudinova Russia
Kazuhiko Oishi Japan
Stephanie L. Barrow United Kingdom
Jacqueline F. Aitken New Zealand
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Citations per field
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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 2015171
2 2011142
3 2012117
4 201477
5 201069
6 200369
7 201740
8 200940
9 201639
10 201838
11 201037
12 201135
13 201133
14 201232
15 200629
16 200827
17 201526
18 202316
19 201012
20 20128

About Catherine Marquer

Catherine Marquer is a scholar working on Structural Biology, Biophysics, Physiology, Physiology and Molecular 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), Lipid Membrane Structure and Behavior (7 papers), Receptor Mechanisms and Signaling (6 papers), Cholesterol and Lipid Metabolism (6 papers), Ion channel regulation and function (5 papers), Cellular transport and secretion (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). The work is most often cited by research in Physiology (398 citations), Biological Psychiatry (32 citations), Cell Biology (175 citations), Cellular and Molecular Neuroscience (162 citations) and Molecular Biology (604 citations). Catherine Marquer has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Charles Duyckaerts, Marie‐Claude Potier, Jack‐Christophe Cossec, Denis Servent, Carole Fruchart‐Gaillard, Gilles Mourier, Sandrine Lévêque‐Fort, Frédéric Saudou, Olivier Laprévôte and Sandrine Lécart. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Molecular Pharmacology, Journal of Visualized Experiments, European Neuropsychopharmacology and Current Biology.

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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