Marion Peyrou

2.0k total citations
33 papers, 1.5k citations indexed

About

Marion Peyrou is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Marion Peyrou has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 16 papers in Molecular Biology and 14 papers in Physiology. Recurrent topics in Marion Peyrou's work include Adipose Tissue and Metabolism (14 papers), Liver Disease Diagnosis and Treatment (11 papers) and PI3K/AKT/mTOR signaling in cancer (8 papers). Marion Peyrou is often cited by papers focused on Adipose Tissue and Metabolism (14 papers), Liver Disease Diagnosis and Treatment (11 papers) and PI3K/AKT/mTOR signaling in cancer (8 papers). Marion Peyrou collaborates with scholars based in Spain, Switzerland and United Kingdom. Marion Peyrou's co-authors include Francesc Villarroya, Marta Giralt, Michelangelo Foti, Aleix Gavaldà‐Navarro, Lucie Bourgoin, Rubén Cereijo, Joan Villarroya, Manlio Vinciguerra, Tania Quesada‐López and Montserrat Cairó and has published in prestigious journals such as Nature Communications, PLoS ONE and Hepatology.

In The Last Decade

Marion Peyrou

32 papers receiving 1.5k citations

Peers

Marion Peyrou
Comparison fields: 5 of 91
  • Physiology 656
  • Molecular Biology 586
  • Epidemiology 577
  • Surgery 207
  • Cancer Research 206
Replace Takuya Tomaru with:
Takuya Tomaru Japan
Majken Siersbæk Denmark
Francisco Verdeguer United States
Wendy S. Wright United States
Shian-Huey Chiang United States
Rachel J. Roth Flach United States
Niclas Franck Sweden
Tayeba Khan United States
Susan Gray United States
Xu-Yun Zhao United States
Takuya Tomaru Japan View profile →
Citations per field, relative to Marion Peyrou
Marion Peyrou · 1×
Citations per year, relative to Marion Peyrou
Marion Peyrou · 1×

Countries citing papers authored by Marion Peyrou

Since Specialization
Citations

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

Fields of papers citing papers by Marion Peyrou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Peyrou

This figure shows the co-authorship network connecting the top 25 collaborators of Marion Peyrou. A scholar is included among the top collaborators of Marion Peyrou 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 Marion Peyrou. Marion Peyrou 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 0
2 1
3 4
4 3
5 2
6 14
7 23
8 17
9 179
10 13
11 67
12 83
13 56
14 18
15 58
16 29
17 1
18 132
19 46
20 99

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

Rankless by CCL
2026