J. Charpentier

1.6k total citations
26 papers, 377 citations indexed

About

J. Charpentier is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, J. Charpentier has authored 26 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in J. Charpentier's work include Gut microbiota and health (4 papers), Pain Mechanisms and Treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). J. Charpentier is often cited by papers focused on Gut microbiota and health (4 papers), Pain Mechanisms and Treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). J. Charpentier collaborates with scholars based in France, Niger and Switzerland. J. Charpentier's co-authors include Rémy Burcelin, E. Grasset, Anthony Puel, Jeffrey E. Christensen, François Tercé, Xavier Collet, Anne-Marie Gueugneau, A Soulairac, Aurélie Waget and Maxime Branchereau and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Cell Metabolism.

In The Last Decade

J. Charpentier

24 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Charpentier France 8 225 164 81 60 49 26 377
Karen Garden United Kingdom 6 219 1.0× 134 0.8× 60 0.7× 21 0.3× 24 0.5× 8 409
Hiroaki Tsuzuki Japan 5 377 1.7× 345 2.1× 94 1.2× 93 1.6× 19 0.4× 8 611
H. J. Binder United States 16 347 1.5× 102 0.6× 86 1.1× 193 3.2× 191 3.9× 35 760
Hetty Bouritius Netherlands 11 67 0.3× 146 0.9× 31 0.4× 92 1.5× 28 0.6× 21 411
Sakawdaurn Yasom Thailand 8 328 1.5× 229 1.4× 60 0.7× 32 0.5× 33 0.7× 13 523
Jiří Plesnik Czechia 9 128 0.6× 111 0.7× 89 1.1× 71 1.2× 25 0.5× 9 453
Matti Förster Germany 7 223 1.0× 306 1.9× 37 0.5× 111 1.9× 27 0.6× 12 637
Mareike Schell Germany 10 325 1.4× 241 1.5× 43 0.5× 41 0.7× 12 0.2× 15 604
Petra Klusoňová Czechia 12 148 0.7× 58 0.4× 166 2.0× 43 0.7× 15 0.3× 26 384
François Reichardt France 10 144 0.6× 143 0.9× 25 0.3× 96 1.6× 142 2.9× 19 405

Countries citing papers authored by J. Charpentier

Since Specialization
Citations

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

Fields of papers citing papers by J. Charpentier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Charpentier

This figure shows the co-authorship network connecting the top 25 collaborators of J. Charpentier. A scholar is included among the top collaborators of J. Charpentier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Charpentier. J. Charpentier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grasset, E., Anthony Puel, J. Charpentier, et al.. (2021). Gut microbiota dysbiosis of type 2 diabetic mice impairs the intestinal daily rhythms of GLP-1 sensitivity. Acta Diabetologica. 59(2). 243–258. 9 indexed citations
2.
Pomié, Celine, Florence Servant, Lucile Garidou, et al.. (2021). CX3CR1 regulates gut microbiota and metabolism. A risk factor of type 2 diabetes. Acta Diabetologica. 58(8). 1035–1049. 3 indexed citations
3.
Charpentier, J., François Briand, Benjamin Lelouvier, et al.. (2021). Liraglutide targets the gut microbiota and the intestinal immune system to regulate insulin secretion. Acta Diabetologica. 58(7). 881–897. 30 indexed citations
4.
Charpentier, J., Aurélie Waget, Pascale Klopp, et al.. (2018). Lixisenatide requires a functional gut-vagus nerve-brain axis to trigger insulin secretion in controls and type 2 diabetic mice. American Journal of Physiology-Gastrointestinal and Liver Physiology. 315(5). G671–G684. 12 indexed citations
5.
Grasset, E., Anthony Puel, J. Charpentier, et al.. (2017). A Specific Gut Microbiota Dysbiosis of Type 2 Diabetic Mice Induces GLP-1 Resistance through an Enteric NO-Dependent and Gut-Brain Axis Mechanism. Cell Metabolism. 25(5). 1075–1090.e5. 229 indexed citations
6.
Bourré, Ludovic, Delphine Nicolle, Marie‐Emmanuelle Legrier, et al.. (2012). Evaluation of the response to cabazitaxel of a docetaxel-responsive hormone-refractory prostate tumor xenograft model (HID28).. Journal of Clinical Oncology. 30(15_suppl). e15161–e15161. 3 indexed citations
7.
Jouannaud, Christelle, J. Charpentier, Jean-Christophe Eymard, et al.. (2010). Neoadjuvant chemotherapy (NCT) in operable HR-positive and TN breast cancer (BC): A randomized study comparing standard schedule to response-adapted sequence.. Journal of Clinical Oncology. 28(15_suppl). 620–620. 1 indexed citations
8.
Charpentier, J.. (1996). [COMPARATIVE RESULTS OF PAIN INDUCED BY TRIGEMINAL AND CUTANEOUS STIMULATIONS].. PubMed. 56. 317–8.
9.
Charpentier, J.. (1971). CARACTÉRISTIQUES BIOCHIMIQUES DU RÉTICULUM SARCOPLASMIQUE DU MUSCLE DE PORC POST-MORTEM. annales de biologie animale biochimie biophysique. 11(3). 427–434. 3 indexed citations
10.
Charpentier, J., et al.. (1970). [Contribution to the study of the intra-dural "filum terminale" and of its tumors].. PubMed. 78(4). 175–8. 1 indexed citations
11.
Charpentier, J., et al.. (1969). INFLUENCE DE LA TEMPÉRATURE ET DU PH SUR QUELQUES CARACTÉRISTIQUES PHYSICO-CHIMIQUES DES PROTÉINES SARCOPLASMIQUES DU MUSCLE DE PORC CONSÉQUENCES TECHNOLOGIQUES. annales de biologie animale biochimie biophysique. 9(1). 101–110. 10 indexed citations
12.
Valin, Christian, et al.. (1969). CATABOLISME POST MORTEM DES NUCLÉOTIDES ACIDO-SOLUBLES LIBRES ET LIÉS DU MUSCLE DE BOVIN. annales de biologie animale biochimie biophysique. 9(4). 555–562. 6 indexed citations
13.
Charpentier, J., et al.. (1968). GLYCOGÉNOLYSE POST MORTEM DU MUSCLE LONGISSIMUS DORSI DE PORC. Annales de Zootechnie. 17(4). 429–443. 15 indexed citations
14.
Charpentier, J., et al.. (1968). [Coccygodynia revealing an ependymoma of the filum terminale. Complete removal without sequelae].. PubMed. 118(2). 160–2. 1 indexed citations
15.
Soulairac, A, et al.. (1967). Effects of pain and of several central analgesics on cortex, hippocampus and reticular formation of brain stem. International Journal of Neuropharmacology. 6(2). 71–81. 16 indexed citations
16.
Soulairac, A & J. Charpentier. (1966). [New method of analysis and automatic measurement of animal behavior].. PubMed. 262(6). 692–5. 1 indexed citations
17.
Charpentier, J.. (1966). Nouvelle recherche sur le m�canisme d'action de quelques analg�siques centraux. Psychopharmacology. 10(2). 126–147. 6 indexed citations
18.
Charpentier, J., et al.. (1964). COMPARAISON DE QUELQUES MÉTHODES D'APPRÉCIATION DE LA COULEUR DU VEAU DE BOUCHERIE. Annales de Zootechnie. 13(1). 103–114. 3 indexed citations
19.
Charpentier, J.. (1962). [Analysis of the analgesic action of morphine in the rat by means of a new quantitative method].. PubMed. 255. 2285–7.
20.
Charpentier, J.. (1961). [On a new psychophysiological method of quantitative measurement of painful reactions in the rat].. PubMed. 155. 727–31. 1 indexed citations

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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