Philippe Valet

253 papers receiving 15.6k citations

Philippe Valet's Hit Papers

The exerkine apelin reverses age-associated sarcopenia 2018 · 313 citations
3130+7+14Years since publication250500750

Peers

Philippe Valet
Comparison fields: 5 of 153
  • Pharmacology 3.4k
  • Physiology 3.8k
  • Endocrine and Autonomic Systems 964
  • Cancer Research 1.7k
  • Biochemistry 768
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Christopher Graeme Sobey Australia
Ignacio Lizasoaín Spain
Josef Anrather United States
Eiichi Araki Japan
Nada A. Abumrad United States
Marc Prentki Canada
Philip W. Shaul United States
Shi Du Yan United States
Fumitaka Ushikubi Japan
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Citations per year

Countries citing papers authored by Philippe Valet

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Valet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 259 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cancer-Associated Adipocytes Exhibit an Activated Phenotype and Contribute to Breast Cancer Invasion
Hit paper breakdown →
2011921
2
Apelin, a Newly Identified Adipokine Up-Regulated by Insulin and Obesity
Hit paper breakdown →
2005759
3 2011516
4 2013425
5 2008417
6 2017363
7
The exerkine apelin reverses age-associated sarcopenia
Hit paper breakdown →
2018313
8 2016303
9 2011277
10 2015258
11 2011243
12 2016224
13 2003208
14 2013195
15 2006190
16 2020188
17 2015185
18 2007181
19 2012180
20 2011180

About Philippe Valet

Philippe Valet is a scholar working on Pharmacology, Physiology, Biochemistry, Cellular and Molecular Neuroscience and Molecular Biology, having authored 259 papers that have together received 15.9k indexed citations. Recurring topics across this work include Apelin-related biomedical research (62 papers), Adipose Tissue and Metabolism (51 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (38 papers), Microbial metabolism and enzyme function (22 papers), Lipid metabolism and disorders (22 papers), Adipokines, Inflammation, and Metabolic Diseases (22 papers), Receptor Mechanisms and Signaling (22 papers) and Nuclear Receptors and Signaling (18 papers). The work is most often cited by research in Pharmacology (3.4k citations), Physiology (3.8k citations), Endocrine and Autonomic Systems (964 citations), Cancer Research (1.7k citations) and Biochemistry (768 citations). Philippe Valet has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Isabelle Castan‐Laurell, Danièle Daviaud, Jean Sébastien Saulnier‐Blache, Cédric Dray, Catherine Muller, Christian Carpéné, Claude Knauf, Sophie Le Gonidec, Charlotte Guigné and Jérémie Boucher. Their work appears in journals such as Journal of Physiology and Biochemistry, Endocrinology, Journal of Biological Chemistry, PLoS ONE and Journal of Pharmacology and Experimental Therapeutics.

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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