M. Priam

902 citations
21 papers · 653 · h-index 12

Impact in

Papers in

M. Priam

21 papers receiving 606 citations

Peers

M. Priam
Comparison fields: 5 of 65
  • Behavioral Neuroscience 88
  • Reproductive Medicine 149
  • Cellular and Molecular Neuroscience 299
  • Endocrinology, Diabetes and Metabolism 239
  • Endocrine and Autonomic Systems 83
Replace Gastone G. Nussdorfer with:
Gastone G. Nussdorfer Italy
P. G. Andreis Italy
Naoto Minamitani Japan
W Klootwijk Netherlands
M Motta Italy
Akira Arimura United States
Guadalberto Hernández Spain
David E. Lennard United States
Valerie S. Densmore United States
P. Gillioz France
M. Priam relative to Gastone G. Nussdorfer Italy Gastone G. Nussdorfer's profile →
Citations per field
00.5×1.5×2.1×
Gastone G. Nussdorfer · 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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979128
2 197990
3 197682
4 198767
5 199864
6 198846
7 197934
8 197931
9 198126
10 197720
11 198017
12 199116
13 19897
14 19917
15
Long lasting effects of intrauterine malnutrition on neurotransmitters metabolism in the brain of developing rats.
19817
16 20084
17 20083
18 20081
19 19921
20 19801

About M. Priam

M. Priam is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Epidemiology, having authored 21 papers that have together received 653 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Neuropeptides and Animal Physiology (8 papers), Pituitary Gland Disorders and Treatments (4 papers), Receptor Mechanisms and Signaling (4 papers), Hypothalamic control of reproductive hormones (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Regulation of Appetite and Obesity (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Behavioral Neuroscience (88 citations), Reproductive Medicine (149 citations), Cellular and Molecular Neuroscience (299 citations), Endocrinology, Diabetes and Metabolism (239 citations) and Endocrine and Autonomic Systems (83 citations). M. Priam has collaborated with scholars based in France, Germany and Italy. Frequent co-authors include A Enjalbert, Claude Kordon, Merle Ruberg, Sandor Arancibia, Lucia Fiore, Lourdes Carbonell, F. MENA, Jacques Epelbaum, Joël Bockaert and Vincent Homburger. Their work appears in journals such as Endocrinology, European Journal of Pharmacology, Neuroendocrinology, Journal of Neuroendocrinology 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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