René Pecquery

34 papers receiving 1.7k citations

Peers

René Pecquery
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 441
  • Physiology 660
  • Epidemiology 654
  • Obstetrics and Gynecology 123
  • Endocrinology, Diabetes and Metabolism 233
Replace Marie‐Noëlle Dieudonné with:
Marie‐Noëlle Dieudonné France
M Fogliano United States
Britt G. Gabrielsson Sweden
Cristiana E. Juge-Aubry Switzerland
Steven C. Elbein United States
Agnès Pernin Switzerland
Carmen González-Yanes Spain
Wendy S. Pascoe Australia
E Ceresi Spain
Drew V. Tortoriello United States
René Pecquery relative to Marie‐Noëlle Dieudonné France Marie‐Noëlle Dieudonné's profile →
Citations per field
00.5×1.5×
Marie‐Noëlle Dieudonné · 1×
Citations per year

Countries citing papers authored by René Pecquery

Since Specialization
Citations

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

Fields of papers citing papers by René Pecquery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside René Pecquery, 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 René Pecquery Line = papers co-authored together René Pecquery links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006287
2 2002252
3 1999191
4 200293
5 200285
6 197883
7 200481
8 200666
9 200951
10 201051
11 201148
12 198844
13 199143
14 201041
15 198435
16 200733
17 197732
18 198826
19 198026
20 199522

About René Pecquery

René Pecquery is a scholar working on Physiology, Molecular Biology, Epidemiology, Endocrine and Autonomic Systems and Animal Science and Zoology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Regulation of Appetite and Obesity (9 papers), Pharmacological Effects and Assays (8 papers), Receptor Mechanisms and Signaling (7 papers), Hormonal and reproductive studies (5 papers), Pregnancy and preeclampsia studies (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (441 citations), Physiology (660 citations), Epidemiology (654 citations), Obstetrics and Gynecology (123 citations) and Endocrinology, Diabetes and Metabolism (233 citations). René Pecquery has collaborated with scholars based in France. Frequent co-authors include Yves Giudicelli, Marie-Christine Leneveu, Marie‐Noëlle Dieudonné, Esther Dos Santos, Philippe de Mazancourt, Danièle Lacasa, Brigitte Agli, Roger Nordmann, Valérie Serazin and Martine Glorian. Their work appears in journals such as Endocrinology, Biochemical and Biophysical Research Communications, FEBS Letters, European Journal of Biochemistry and Journal of 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.

Explore authors with similar magnitude of impact