M. Priam

902 total citations
20 papers, 746 citations indexed

About

M. Priam is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, M. Priam has authored 20 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in M. Priam's work include Growth Hormone and Insulin-like Growth Factors (9 papers), Neuropeptides and Animal Physiology (7 papers) and Receptor Mechanisms and Signaling (4 papers). M. Priam is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (9 papers), Neuropeptides and Animal Physiology (7 papers) and Receptor Mechanisms and Signaling (4 papers). M. Priam collaborates with scholars based in France, Italy and Germany. M. Priam's co-authors include A Enjalbert, Claude Kordon, Sandor Arancibia, Merle Ruberg, Lourdes Carbonell, Lucia Fiore, F. MENA, W.H. Rotsztejn, Marie‐Thérèse Bluet‐Pajot and Jacques Epelbaum and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Brain Research.

In The Last Decade

M. Priam

20 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Priam France 14 384 277 264 206 125 20 746
J. Besson France 15 821 2.1× 392 1.4× 220 0.8× 206 1.0× 222 1.8× 27 982
Yoshihito Okamura Japan 14 156 0.4× 160 0.6× 117 0.4× 181 0.9× 131 1.0× 19 640
Naoto Minamitani Japan 17 301 0.8× 127 0.5× 456 1.7× 124 0.6× 131 1.0× 31 853
Eliane Laplante France 17 226 0.6× 173 0.6× 221 0.8× 433 2.1× 206 1.6× 26 873
Sophia V. Drouva France 21 360 0.9× 335 1.2× 303 1.1× 640 3.1× 243 1.9× 36 1.2k
M Munemura Japan 11 278 0.7× 356 1.3× 228 0.9× 83 0.4× 32 0.3× 27 737
Gastone G. Nussdorfer Italy 17 352 0.9× 337 1.2× 315 1.2× 70 0.3× 87 0.7× 39 858
W Klootwijk Netherlands 18 186 0.5× 169 0.6× 425 1.6× 129 0.6× 53 0.4× 35 854
P. G. Andreis Italy 16 367 1.0× 354 1.3× 316 1.2× 76 0.4× 59 0.5× 44 797
John M. Farah United States 13 287 0.7× 265 1.0× 77 0.3× 67 0.3× 85 0.7× 25 608

Countries citing papers authored by M. Priam

Since Specialization
Citations

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

Fields of papers citing papers by M. Priam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Priam

This figure shows the co-authorship network connecting the top 25 collaborators of M. Priam. A scholar is included among the top collaborators of M. Priam 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 M. Priam. M. Priam 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.
2.
Audinot, Valérie, Ramahefarizo Rasolonjanahary, P.V. Bertrand, et al.. (1992). PKC modulation of inhibitory coupling of angiotensin II receptors with adenylate cyclase in lactotroph cells. Molecular and Cellular Neuroscience. 3(2). 145–151. 1 indexed citations
3.
Audinot, Valérie, Ramahefarizo Rasolonjanahary, P.V. Bertrand, et al.. (1991). Involvement of Protein Kinase-C in the Effect of Angiotensin-II on Adenosine 3′,5′-Monophosphate Production in Lactotroph Cells. Endocrinology. 129(4). 2231–2239. 15 indexed citations
4.
Bertrand, P.V., et al.. (1991). Differential Mechanisms of Dopamine and Somatostatin Inhibition of Prolactin Secretion from Anterior Pituitary Cells. Journal of Neuroendocrinology. 3(1). 21–28. 7 indexed citations
5.
Morel, Gérard, J.‐G. Chabot, A Enjalbert, M. Priam, & Paul Dubois. (1989). Evidence for direct action of calcitonin in the rat pituitary gland. European Journal of Endocrinology. 120(5). 682–688. 7 indexed citations
6.
7.
Journot, Laurent, Vincent Homburger, C. Pantaloni, et al.. (1987). An islet activating protein-sensitive G protein is involved in dopamine inhibition of angiotensin and thyrotropin-releasing hormone-stimulated inositol phosphate production in anterior pituitary cells.. Journal of Biological Chemistry. 262(31). 15106–15110. 62 indexed citations
8.
Enjalbert, A, Sandor Arancibia, M. Priam, Marie‐Thérèse Bluet‐Pajot, & Claude Kordon. (1982). Neurotensin Stimulation of Prolactin Secretion in vitro. Neuroendocrinology. 34(2). 95–98. 43 indexed citations
9.
Chanez, C., et al.. (1981). Long lasting effects of intrauterine malnutrition on neurotransmitters metabolism in the brain of developing rats.. PubMed. 77. 643–60. 7 indexed citations
10.
Chanez, C., et al.. (1981). Long lasting effects of intrauterine growth retardation on 5-HT metabolism in the brain of developing rats. Brain Research. 207(2). 397–408. 25 indexed citations
11.
Enjalbert, A, Sandor Arancibia, Merle Ruberg, M. Priam, & Claude Kordon. (1980). [Effect of neuropeptides on prolactin secretion by the adenohypophysis (author's transl)].. PubMed. 76(3). 227–31. 1 indexed citations
12.
Tapia‐Arancibia, Lucia, Sandor Arancibia, Marie‐Thérèse Bluet‐Pajot, et al.. (1980). Effect of vasoactive intestinal peptide (VIP) on somatostatin inhibition of pituitary growth hormone secretion in vitro. European Journal of Pharmacology. 63(2-3). 235–236. 14 indexed citations
13.
Enjalbert, A, Sandor Arancibia, Merle Ruberg, et al.. (1980). Stimulation of <i>in vitro </i>Prolactin Release by Vasoactive Intestinal Peptide. Neuroendocrinology. 31(3). 200–204. 99 indexed citations
14.
Enjalbert, A, Merle Ruberg, Sandor Arancibia, et al.. (1979). Inhibition of in vitro prolactin secretion by histidyl-proline-diketopiperazine, a degradation product of TRH. European Journal of Pharmacology. 58(1). 97–98. 24 indexed citations
15.
Enjalbert, A, Merle Ruberg, Sandor Arancibia, et al.. (1979). Independent Inhibition of Prolactin Secretion by Dopamine and γ-Aminobutyric Acid inVitro. Endocrinology. 105(3). 823–826. 81 indexed citations
16.
Enjalbert, A, et al.. (1979). Effect of morphine on the dopamine inhibition of pituitary prolactin release in vitro. European Journal of Pharmacology. 53(2). 211–212. 30 indexed citations
17.
Enjalbert, A, Merle Ruberg, Sandor Arancibia, M. Priam, & Claude Kordon. (1979). Endogenous opiates block dopamine inhibition of prolactin secretion in vitro. Nature. 280(5723). 595–597. 108 indexed citations
18.
Enjalbert, A, M. Priam, & Claude Kordon. (1977). Evidence in favour of the existence of a dopamine-free prolactin-inhibiting factor (PIF) in rat hypothalamic extracts. European Journal of Pharmacology. 41(2). 243–244. 12 indexed citations
19.
Enjalbert, A, F. Moos, Lourdes Carbonell, M. Priam, & Claude Kordon. (1977). Prolactin Inhibiting Activity of Dopamine-Free Subcellular Fractions from Rat Mediobasal Hypothalamus. Neuroendocrinology. 24(3-4). 147–161. 30 indexed citations
20.
MENA, F., et al.. (1976). Effect of Suckling on Plasma Prolactin and Hypothalamic Monoamine Levels in the Rat. Endocrinology. 99(2). 445–451. 76 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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