M. Priam

902 citations
20 papers · 746 · h-index 14

Impact in

Papers in

M. Priam

20 papers receiving 703 citations

Peers

M. Priam
Comparison fields: 5 of 64
  • Behavioral Neuroscience 98
  • Reproductive Medicine 206
  • Cellular and Molecular Neuroscience 384
  • Endocrine and Autonomic Systems 113
  • Endocrinology, Diabetes and Metabolism 264
Replace Naoto Minamitani with:
Naoto Minamitani Japan
Eliane Laplante France
Micheline Vial France
Gastone G. Nussdorfer Italy
Sophia V. Drouva France
P. G. Andreis Italy
K. Ajika Japan
J. Besson France
Yoshihito Okamura Japan
W Klootwijk Netherlands
M. Priam relative to Naoto Minamitani Japan Naoto Minamitani's profile →
Citations per field
00.5×1.5×
Naoto Minamitani · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown
#Work
1 1979108
2 198099
3 197981
4 197676
5 198762
6 199861
7 198843
8 198243
9 197730
10 197930
11 198125
12 197924
13 199115
14 198014
15 197712
16
Long lasting effects of intrauterine malnutrition on neurotransmitters metabolism in the brain of developing rats.
19817
17 19917
18 19897
19 19921
20
[Effect of neuropeptides on prolactin secretion by the adenohypophysis (author's transl)].
19801

About M. Priam

M. Priam is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Epidemiology, having authored 20 papers that have together received 746 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Hypothalamic control of reproductive hormones (3 papers), Regulation of Appetite and Obesity (3 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Behavioral Neuroscience (98 citations), Reproductive Medicine (206 citations), Cellular and Molecular Neuroscience (384 citations), Endocrine and Autonomic Systems (113 citations) and Endocrinology, Diabetes and Metabolism (264 citations). M. Priam has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include A Enjalbert, Claude Kordon, Sandor Arancibia, Merle Ruberg, Lourdes Carbonell, Lucia Fiore, F. MENA, W.H. Rotsztejn, Jacques Epelbaum and Marie‐Thérèse Bluet‐Pajot. Their work appears in journals such as Endocrinology, European Journal of Pharmacology, Neuroendocrinology, European Journal of Endocrinology and Brain Research.

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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