Pascal Favrel

2.9k citations
66 papers · 2.4k · h-index 29

Impact in

Papers in

Pascal Favrel

66 papers receiving 2.3k citations

Peers

Pascal Favrel
Comparison fields: 5 of 76
  • Physiology 411
  • Cellular and Molecular Neuroscience 535
  • Immunology 372
  • Global and Planetary Change 382
  • Microbiology 107
Replace Christophe Lelong with:
Christophe Lelong France
David W. Towle United States
Bo Dong China
Qiang Fu China
J. Sook Chung United States
Bruce P. Brandhorst Canada
Gary W. Moy United States
Lixy Yamada Japan
D. Sellos France
Huayong Que China
Pascal Favrel relative to Christophe Lelong France Christophe Lelong's profile →
Citations per field
00.5×2×4×5.3×
Christophe Lelong · 1×
Citations per year

Countries citing papers authored by Pascal Favrel

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Favrel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pascal Favrel, 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 Pascal Favrel Line = papers co-authored together Pascal Favrel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005181
2 2007128
3 2009122
4 2009108
5 2013106
6 199784
7 201481
8 201267
9 200565
10 200660
11 201260
12 201158
13 200656
14 200954
15 201452
16 201751
17 201450
18 200048
19 199745
20 200642

About Pascal Favrel

Pascal Favrel is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Global and Planetary Change and Reproductive Medicine, having authored 66 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (28 papers), Reproductive biology and impacts on aquatic species (13 papers), Developmental Biology and Gene Regulation (13 papers), Marine Bivalve and Aquaculture Studies (11 papers), Epigenetics and DNA Methylation (5 papers), Hypothalamic control of reproductive hormones (4 papers), Studies on Chitinases and Chitosanases (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Physiology (411 citations), Cellular and Molecular Neuroscience (535 citations), Immunology (372 citations), Global and Planetary Change (382 citations) and Microbiology (107 citations). Pascal Favrel has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Christophe Lelong, Marie‐Pierre Dubos, Guillaume Rivière, Arnaud Huvet, Michel Mathieu, Franck Rodet, Céline Zatylny‐Gaudin, Amaury Herpin, Pierre Boudry and Alexandre Fellous. Their work appears in journals such as General and Comparative Endocrinology, Gene, FEBS Journal, Marine Biotechnology and PLoS ONE.

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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