Sophie Béraud-Dufour

2.3k citations
30 papers · 1.9k indexed · h-index 18
Topics
Cellular transport and secretion (11 papers)Neuropeptides and Animal Physiology (10 papers)Receptor Mechanisms and Signaling (8 papers)

In The Last Decade

Sophie Béraud-Dufour

30 papers receiving 1.8k citations

Peers

Sophie Béraud-Dufour
Comparison fields: 5 of 87
  • Molecular Biology 1.4k
  • Cell Biology 1.1k
  • Cellular and Molecular Neuroscience 269
  • Physiology 269
  • Physiology 200
Replace Yasunori Saheki with:
Yasunori Saheki Singapore
Zhongzhen Nie United States
Lisa A. Elferink United States
Ute Becherer Germany
Summer Paradise United States
Yumei Wu United States
Adil Aziz Khan India
Olof Idevall‐Hagren Sweden
Mitsuko Hayashi Japan
M F Bader France
Sophie Béraud-Dufour relative to Yasunori Saheki Singapore Yasunori Saheki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sophie Béraud-Dufour

Since Specialization
Citations

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

Fields of papers citing papers by Sophie Béraud-Dufour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sophie Béraud-Dufour. 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 Sophie Béraud-Dufour. The network helps show where Sophie Béraud-Dufour may publish in the future.

Co-authorship network of co-authors of Sophie Béraud-Dufour

This figure shows the co-authorship network connecting the top 25 collaborators of Sophie Béraud-Dufour. A scholar is included among the top collaborators of Sophie Béraud-Dufour based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sophie Béraud-Dufour. Sophie Béraud-Dufour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Alpha-Linolenic Acid: a pleiotropic option for protecting the brain from Ischemic stroke and managing metabolic comorbidities
1
2 1
3 7
4 1
5 22
6 17
7 24
8 41
9 16
10 141
11 26
12 35
13 9
14 7
15 2
16 59
17 151
18 156
19 144
20 408

About Sophie Béraud-Dufour

Sophie Béraud-Dufour is a scholar working on Physiology, Cell Biology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (11 papers), Neuropeptides and Animal Physiology (10 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Cell Biology (1.1k citations), Physiology (269 citations) and Molecular Biology (1.4k citations). Sophie Béraud-Dufour has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Bruno Antonny, Pierre Teilhard de Chardin, Marc Chabre, Sylviane Robineau, S Paris, Thierry Coppola, Catherine Jackson, Jean Mazella, William E. Balch and Christelle Devader. Their work appears in journals such as Nature, Journal of Biological Chemistry and The Journal of Cell 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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