P. Geynet

456 citations
15 papers · 369 · h-index 10

Impact in

Papers in

P. Geynet

15 papers receiving 331 citations

Peers

P. Geynet
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 140
  • Animal Science and Zoology 75
  • Molecular Biology 281
  • Physiology 59
  • Biochemistry 17
Replace Mahmoud F. El-Refai with:
Mahmoud F. El-Refai United States
C P Campanile United States
F D Assimacopoulos-Jeannet United States
David L. Saussy United States
P. Thamm Germany
R.A. Podevin France
Sumio Shima Japan
Anna Rita Renzetti Italy
Roberto P. Rosenkranz United States
Michael Höller Germany
P. Geynet relative to Mahmoud F. El-Refai United States Mahmoud F. El-Refai's profile →
Citations per field
00.5×3.1×
Mahmoud F. El-Refai · 1×
Citations per year

Countries citing papers authored by P. Geynet

Since Specialization
Citations

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

Fields of papers citing papers by P. Geynet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside P. Geynet, 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 P. Geynet Line = papers co-authored together P. Geynet links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1982125
2 197770
3 198143
4 197934
5 197815
6 197215
7 198114
8 197913
9 197612
10 198010
11 19799
12
The hepatic alpha-adrenergic receptor.
19815
13 19772
14 19781
15 19741

About P. Geynet

P. Geynet is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Endocrinology, Diabetes and Metabolism and Animal Science and Zoology, having authored 15 papers that have together received 369 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Drug Transport and Resistance Mechanisms (3 papers), Neuropeptides and Animal Physiology (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Heat shock proteins research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pharmacological Effects and Assays (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (140 citations), Animal Science and Zoology (75 citations), Molecular Biology (281 citations), Physiology (59 citations) and Biochemistry (17 citations). P. Geynet has collaborated with scholars based in France, Hungary and Belgium. Frequent co-authors include Jacques Hanoune, N. Ferry, A. Donny Strosberg, Georges Vauquelin, Anna Borsodi, Nicolas Ferry, Annette Alfsen, Arnold Münnich, Jacques Gallay and A. Uzan. Their work appears in journals such as European Journal of Biochemistry, Biochemical Pharmacology, Life Sciences, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.

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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