René Pecquery

34 papers receiving 1.8k citations

Peers

René Pecquery
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 424
  • Physiology 630
  • Epidemiology 614
  • Obstetrics and Gynecology 99
  • Endocrinology, Diabetes and Metabolism 219
Replace Marie-Christine Leneveu with:
Marie-Christine Leneveu France
Britt G. Gabrielsson Sweden
Masako Tomita Japan
Wendy S. Pascoe Australia
Jürgen Steinke United States
Carmen González-Yanes Spain
E Ceresi Spain
Souad Najib France
Drew V. Tortoriello United States
Karen Lambert France
René Pecquery relative to Marie-Christine Leneveu France Marie-Christine Leneveu's profile →
Citations per field
00.5×1.5×
Marie-Christine Leneveu · 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 22 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 2006299
2 2002260
3 1999201
4 200299
5 197891
6 200290
7 200487
8 200670
9 200953
10 201051
11 201148
12 198847
13 199144
14 201043
15 198436
16 200734
17 197732
18 198030
19 198826
20 197924

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 1.9k 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), Estrogen and related hormone effects (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (424 citations), Physiology (630 citations), Epidemiology (614 citations), Obstetrics and Gynecology (99 citations) and Endocrinology, Diabetes and Metabolism (219 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, Marianne Bussière, Philippe de Mazancourt, Danièle Lacasa, Brigitte Agli, Roger Nordmann and Valérie Serazin. 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.

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