Jean‐Michel Garel

522 total citations
28 papers, 406 citations indexed

About

Jean‐Michel Garel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Jean‐Michel Garel has authored 28 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 7 papers in Surgery. Recurrent topics in Jean‐Michel Garel's work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (8 papers) and Parathyroid Disorders and Treatments (4 papers). Jean‐Michel Garel is often cited by papers focused on Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (8 papers) and Parathyroid Disorders and Treatments (4 papers). Jean‐Michel Garel collaborates with scholars based in France, Germany and Belgium. Jean‐Michel Garel's co-authors include Jean-Pierre Barlet, Stéphane Frayon, Benjamin Uzan, M. Cressent, Sylvie Chalon, Philippe Besnard, Marie‐Christine de Vernejoul, Renée Ventura‐Clapier, Sédami Gnidehou and Marcia Pessah and has published in prestigious journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Jean‐Michel Garel

27 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐Michel Garel France 13 179 168 78 67 60 28 406
N. Segond France 15 201 1.1× 164 1.0× 73 0.9× 129 1.9× 55 0.9× 37 577
Yosuke Mori Japan 12 247 1.4× 200 1.2× 34 0.4× 95 1.4× 52 0.9× 20 456
Lynn A. Austin United States 2 177 1.0× 80 0.5× 76 1.0× 97 1.4× 40 0.7× 3 386
E. Keck Germany 12 153 0.9× 39 0.2× 111 1.4× 107 1.6× 30 0.5× 46 477
Fischer Ja Switzerland 17 340 1.9× 260 1.5× 122 1.6× 131 2.0× 106 1.8× 50 803
Akihiro Yamauchi Japan 15 170 0.9× 184 1.1× 76 1.0× 54 0.8× 66 1.1× 29 481
J.J. Calvo Spain 13 158 0.9× 66 0.4× 62 0.8× 70 1.0× 216 3.6× 45 481
J.-M. Garel France 14 156 0.9× 90 0.5× 68 0.9× 132 2.0× 39 0.7× 41 615
K.L. Sikri United Kingdom 10 191 1.1× 129 0.8× 45 0.6× 134 2.0× 112 1.9× 17 465
Modlin Im United States 9 98 0.5× 87 0.5× 71 0.9× 30 0.4× 95 1.6× 24 392

Countries citing papers authored by Jean‐Michel Garel

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Michel Garel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Michel Garel. 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 Jean‐Michel Garel. The network helps show where Jean‐Michel Garel may publish in the future.

Co-authorship network of co-authors of Jean‐Michel Garel

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Garel. A scholar is included among the top collaborators of Jean‐Michel Garel 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 Jean‐Michel Garel. Jean‐Michel Garel 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.
Uzan, Benjamin, et al.. (2007). Adrenomedullin is anti‐apoptotic in osteoblasts through CGRP1 receptors and MEK‐ERK pathway. Journal of Cellular Physiology. 215(1). 122–128. 36 indexed citations
2.
Uzan, Benjamin, Hang‐Korng Ea, Jean‐Marie Launay, et al.. (2006). A Critical Role for Adrenomedullin-Calcitonin Receptor-Like Receptor in Regulating Rheumatoid Fibroblast-Like Synoviocyte Apoptosis. The Journal of Immunology. 176(9). 5548–5558. 32 indexed citations
3.
Birot, Olivier, et al.. (2004). Post-transcriptional regulation of CRLR expression during hypoxia. Biochemical and Biophysical Research Communications. 326(1). 23–29. 15 indexed citations
4.
Garel, Jean‐Michel, et al.. (2004). RAMP et récepteurs couplés aux protéines G. médecine/sciences. 20(8-9). 773–778. 5 indexed citations
5.
6.
Frayon, Stéphane, et al.. (2003). Dexamethasone decreases phospholipase C β1 isozyme expression in human vascular smooth muscle cells. The Journal of Steroid Biochemistry and Molecular Biology. 86(2). 173–178. 5 indexed citations
7.
Vernejoul, Marie‐Christine de, et al.. (2002). Increased myocardial expression of RAMP1 and RAMP3 in rats with chronic heart failure. Biochemical and Biophysical Research Communications. 294(2). 340–346. 51 indexed citations
8.
Frayon, Stéphane, et al.. (2000). Dexamethasone Increases RAMP1 and CRLR mRNA Expressions in Human Vascular Smooth Muscle Cells. Biochemical and Biophysical Research Communications. 270(3). 1063–1067. 46 indexed citations
9.
Ferrand, Nathalie, et al.. (1999). Olfactory Receptors, Golfαand Adenylyl Cyclase mRNA Expressions in the Rat Heart During Ontogenic Development. Journal of Molecular and Cellular Cardiology. 31(5). 1137–1142. 20 indexed citations
10.
Frayon, Stéphane, Marcia Pessah, Marie-Hélène Giroix, et al.. (1999). Gαolf Identification by RT-PCR in Purified Normal Pancreatic B Cells and in Islets from Rat Models of Non-insulin-Dependent Diabetes. Biochemical and Biophysical Research Communications. 254(1). 269–272. 16 indexed citations
11.
Emami, Shahin, Nathalie Ferrand, Marcia Pessah, et al.. (1998). Stimulatory Transducing Systems in Pancreatic Islet Cellsa. Annals of the New York Academy of Sciences. 865(1). 118–131. 14 indexed citations
12.
Boissard, Claudine, et al.. (1997). Immunocharacterization and function of glucagon-like peptide-1 islet receptor in syrian hamster. Diabetologia. 1 indexed citations
13.
Emami, S., Marcia Pessah, Claudine Boissard, et al.. (1997). Molecular diversity of the adenylyl cyclase-coupled signaling in pancreatic islet cells. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 indexed citations
14.
Fain, O., et al.. (1994). Hypercalcaemia in B cell chronic lymphocytic leukaemia. British Journal of Haematology. 87(4). 856–858. 19 indexed citations
15.
Besnard, Philippe, et al.. (1990). Ontogenesis of calcitonin mRNA in the rabbit. Journal of Bone and Mineral Research. 5(5). 475–481. 5 indexed citations
16.
Besnard, Philippe, et al.. (1989). Additive effects of dexamethasone and calcium on the calcitonin mRNA level in adrenalectomized rats. FEBS Letters. 258(2). 293–296. 26 indexed citations
17.
Chalon, Sylvie & Jean‐Michel Garel. (1985). Plasma Calcium Control in the Rat Fetus. III. Influence of Alterations in Maternal Plasma Calcium on Fetal Plasma Calcium Level. Neonatology. 48(6). 329–335. 3 indexed citations
18.
Chalon, Sylvie & Jean‐Michel Garel. (1985). Plasma Calcium Control in the Rat Fetus. I. Influence of Maternal Hormones. Neonatology. 48(6). 313–322. 18 indexed citations
19.
Garel, Jean‐Michel, et al.. (1977). PLASMA CALCITONIN LEVELS IN PREGNANT AND NEWBORN RATS. Journal of Endocrinology. 75(3). 373–382. 30 indexed citations
20.
Garel, Jean‐Michel. (1975). Assessment of Fetal Rat Parathyroid Gland Activity during Hypocalcemia Induced by EDTA. Neonatology. 27(1-2). 115–120. 2 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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