Daniel Béchet

8.8k total citations
95 papers, 3.9k citations indexed

About

Daniel Béchet is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Daniel Béchet has authored 95 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 39 papers in Cell Biology and 29 papers in Physiology. Recurrent topics in Daniel Béchet's work include Muscle Physiology and Disorders (42 papers), Muscle metabolism and nutrition (24 papers) and Adipose Tissue and Metabolism (15 papers). Daniel Béchet is often cited by papers focused on Muscle Physiology and Disorders (42 papers), Muscle metabolism and nutrition (24 papers) and Adipose Tissue and Metabolism (15 papers). Daniel Béchet collaborates with scholars based in France, Morocco and United States. Daniel Béchet's co-authors include Didier Attaix, Lydie Combaret, Daniel Taillandier, Amina Tassa, Christiane Deval, Marc Ferrara, Sylvie Mordier, Anne Listrat, Sophie Ventadour and Audrey Codran and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Daniel Béchet

91 papers receiving 3.8k citations

Peers

Daniel Béchet
Comparison fields: 5 of 130
  • Molecular Biology 2.5k
  • Cell Biology 1.2k
  • Physiology 1.2k
  • Epidemiology 562
  • Rehabilitation 432
Replace Daniel Taillandier with:
Daniel Taillandier France
Didier Attaix France
Vanina Romanello Italy
Damien Freyssenet France
Takeshi Nikawa Japan
Lorna Nuñez United States
Doreen Drujan United States
Hyo Jeong Kim South Korea
Ruben Mestril United States
Joseph D. Etlinger United States
Daniel Taillandier France View profile →
Citations per field, relative to Daniel Béchet
Daniel Béchet · 1×
Citations per year, relative to Daniel Béchet
Daniel Béchet · 1×

Countries citing papers authored by Daniel Béchet

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Béchet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Béchet

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Béchet. A scholar is included among the top collaborators of Daniel Béchet 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 Daniel Béchet. Daniel Béchet 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
# Work Indexed citations
1 8
2 29
3 12
4 67
5 108
6 17
7 9
8 27
9 13
10 43
11 113
12 167
13 197
14 68
15 171
16 14
17 17
18 13
19 25
20 44

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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