Philippe Sarret

6.5k citations
165 papers · 5.1k · h-index 44

Impact in

Papers in

Philippe Sarret

162 papers receiving 5.0k citations

Peers

Philippe Sarret
Comparison fields: 5 of 132
  • Cellular and Molecular Neuroscience 2.5k
  • Biological Psychiatry 159
  • Behavioral Neuroscience 208
  • Pharmacology 741
  • Endocrine and Autonomic Systems 287
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Florence Noble France
Tarek A. Samad United States
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Sarret

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Sarret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996210
2 2011171
3 2008130
4 2018128
5 2003115
6 1999114
7 2016108
8 2012108
9 2011106
10 200399
11 201194
12 201491
13 201989
14 201287
15 200880
16 201178
17 200174
18 201169
19 200565
20
Regional and cellular distribution of low affinity neurotensin receptor mRNA in adult and developing mouse brain.
199860

About Philippe Sarret

Philippe Sarret is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pharmacology and Surgery, having authored 165 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (71 papers), Receptor Mechanisms and Signaling (59 papers), Pain Mechanisms and Treatments (36 papers), Apelin-related biomedical research (23 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (18 papers), Chemical Synthesis and Analysis (17 papers), Nuclear Receptors and Signaling (16 papers) and Hypothalamic control of reproductive hormones (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.5k citations), Biological Psychiatry (159 citations), Behavioral Neuroscience (208 citations), Pharmacology (741 citations) and Endocrine and Autonomic Systems (287 citations). Philippe Sarret has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Nicolas Beaudet, Jean Mazella, Alain Beaudet, Jean‐Pierre Vincent, Jean‐Michel Longpré, Marc‐André Dansereau, Thomas Stroh, J. Botto, Éric Marsault and Stéphane Melik Parsadaniantz. Their work appears in journals such as Journal of Medicinal Chemistry, Neuroscience, Journal of Neuroscience, Pharmacological Research and The Journal of Comparative Neurology.

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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