Sandrine Bétuing

2.2k citations
32 papers · 1.8k · h-index 20

Impact in

Papers in

    • Mitochondrial Function and Pathology 10
    • Receptor Mechanisms and Signaling 5
    • Ubiquitin and proteasome pathways 4
    • Metabolism, Diabetes, and Cancer 4
    • Ion channel regulation and function 3
    • Genetic Neurodegenerative Diseases 17

Sandrine Bétuing

29 papers receiving 1.8k citations

Peers

Sandrine Bétuing
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 636
  • Cardiology and Cardiovascular Medicine 341
  • Aging 27
  • Molecular Biology 934
  • Physiology 299
Replace Kerry Purtell with:
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Citations per field
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Citations per year

Countries citing papers authored by Sandrine Bétuing

Since Specialization
Citations

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

Fields of papers citing papers by Sandrine Bétuing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002328
2 2002292
3 2011222
4 2016155
5 2009127
6 201984
7 201362
8 200956
9 200752
10 202246
11
Huntington's disease.
201046
12 201144
13 201142
14 201042
15 200230
16 200427
17 201725
18 199723
19 199822
20 199621

About Sandrine Bétuing

Sandrine Bétuing is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Surgery, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (17 papers), Mitochondrial Function and Pathology (10 papers), Neurological disorders and treatments (7 papers), Receptor Mechanisms and Signaling (5 papers), Ubiquitin and proteasome pathways (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (4 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (636 citations), Cardiology and Cardiovascular Medicine (341 citations), Aging (27 citations), Molecular Biology (934 citations) and Physiology (299 citations). Sandrine Bétuing has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Jocelyne Caboche, Emmanuel Roze, Christophe Graveleau, E. Dale Abel, Heinrich Taegtmeyer, Darrell D. Belke, Dongfang Zhang, Martin E. Young, Sheldon E. Litwin and Donald A. McClain. Their work appears in journals such as Journal of Clinical Investigation, Brain, Biological Psychiatry, Neurobiology of Disease and Endocrinology.

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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