J.M. Danger

971 total citations
25 papers, 878 citations indexed

About

J.M. Danger is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, J.M. Danger has authored 25 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 8 papers in Reproductive Medicine. Recurrent topics in J.M. Danger's work include Neuropeptides and Animal Physiology (16 papers), Hypothalamic control of reproductive hormones (8 papers) and Receptor Mechanisms and Signaling (8 papers). J.M. Danger is often cited by papers focused on Neuropeptides and Animal Physiology (16 papers), Hypothalamic control of reproductive hormones (8 papers) and Receptor Mechanisms and Signaling (8 papers). J.M. Danger collaborates with scholars based in France, Canada and Italy. J.M. Danger's co-authors include Hubert Vaudry, G. Pelletier, F. Leboulenger, M.C. Tonon, A. Calas, P. Dubourg, Marie‐Christine Tonon, Sylvie Jégou, Serge Saint-Pierre and M. Lamacz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Brain Research.

In The Last Decade

J.M. Danger

25 papers receiving 863 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J.M. Danger 623 362 264 232 118 25 878
Jean‐Michel Danger 371 0.6× 237 0.7× 172 0.7× 177 0.8× 58 0.5× 23 633
P. Dubourg 399 0.6× 293 0.8× 216 0.8× 380 1.6× 165 1.4× 40 1.1k
B Mess 287 0.5× 394 1.1× 120 0.5× 197 0.8× 102 0.9× 82 853
A. P. van Overbeeke 298 0.5× 239 0.7× 189 0.7× 117 0.5× 34 0.3× 34 1.0k
Fermı́n C. Iturriza 236 0.4× 204 0.6× 133 0.5× 56 0.2× 90 0.8× 40 619
Mercedes Alonso‐Bedate 247 0.4× 425 1.2× 64 0.2× 57 0.2× 84 0.7× 15 654
Jean‐Michel Olivereau 163 0.3× 177 0.5× 61 0.2× 101 0.4× 74 0.6× 38 617
Tohru Miura 260 0.4× 728 2.0× 91 0.3× 123 0.5× 89 0.8× 22 1.1k
Patrick Chappell 150 0.2× 592 1.6× 358 1.4× 871 3.8× 276 2.3× 40 1.7k
Sandrine M. Dupré 172 0.3× 596 1.6× 163 0.6× 93 0.4× 135 1.1× 14 875

Countries citing papers authored by J.M. Danger

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Danger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.M. Danger

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Danger. A scholar is included among the top collaborators of J.M. Danger 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.M. Danger. J.M. Danger 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.
Siah, Ahmed, Patricia McKenna, J.M. Danger, G. R. Johnson, & Franck Berthe. (2012). Expression of RAS-like family members, c-jun and c-myc mRNA levels in neoplastic hemocytes of soft-shell clams Mya arenaria using microsphere-based 8-plex branched DNA assay. PubMed. 2. 83–87. 5 indexed citations
2.
Siah, Ahmed, et al.. (2007). Receptor activated C kinase is down-regulated in the male gonad of the marine bivalve mollusc Mya arenaria exposed to tributyltin (TBT). Aquatic Toxicology. 83(4). 295–305. 23 indexed citations
3.
4.
Géret, Florence, Hélène Manduzio, F. Leboulenger, Maria João Bebianno, & J.M. Danger. (2004). Molecular cloning of superoxide dismutase (Cu/Zn-SOD) from aquatic molluscs. Marine Environmental Research. 58(2-5). 619–623. 20 indexed citations
5.
Leboulenger, F., et al.. (2002). Identification of differentially expressed genes in Dreissena polymorpha exposed to contaminants. Marine Environmental Research. 54(3-5). 385–389. 19 indexed citations
6.
Moyse, Emmanuel, Eva Szigethy, J.M. Danger, et al.. (1993). Short- and long-term effects of nucleus basalis magnocellularis lesions on cortical levels of somatostatin and its receptors in the rat. Brain Research. 607(1-2). 154–160. 19 indexed citations
7.
Danger, J.M., M.C. Tonon, L. Cazin, et al.. (1990). Regulation of MSH Secretion by Neuropeptide Y in Amphibiansa. Annals of the New York Academy of Sciences. 611(1). 302–316. 1 indexed citations
8.
Bons, N, Nadine Mestre‐Francés, A Petter, et al.. (1990). Localization and characterization of neuropeptide Y in the brain of Microcebus murinus (primate, lemurian). The Journal of Comparative Neurology. 298(3). 343–361. 37 indexed citations
9.
Breton, Bernard, et al.. (1990). Studies on the mode of action of neuropeptide Y (NPY) on maturational gonadotropin (GtH) secretion from perifused rainbow trout pituitary glands. Fish Physiology and Biochemistry. 8(4). 339–346. 22 indexed citations
10.
Danger, J.M., M. Lamacz, Serge Saint-Pierre, et al.. (1990). Neuropeptide Y inhibits thyrotropin-releasing hormone-induced stimulation of melanotropin release from the intermediate lobe of the frog pituitary. General and Comparative Endocrinology. 77(1). 143–149. 11 indexed citations
11.
Léger, Lucienne, J.M. Danger, Yves Charnay, et al.. (1990). Anatomical Distribution and Biochemical Characterization of Neuropeptide Y‐Like Immunoreactivity in the Cat Brain and Pituitarya. Annals of the New York Academy of Sciences. 611(1). 508–512. 1 indexed citations
12.
Danger, J.M., P. Dubourg, G. Pelletier, et al.. (1989). Distribution and characterization of neuropeptide Y-like immunoreactivity in the brain and pituitary of the goldfish. Cell and Tissue Research. 255(3). 529–38. 103 indexed citations
13.
14.
Kah, Olivier, J.M. Danger, P. Dubourg, et al.. (1989). Characterization, cerebral distribution and gonadotropin release activity of neuropeptide Y (NPY) in the goldfish. Fish Physiology and Biochemistry. 7(1-6). 69–76. 74 indexed citations
15.
Vallarino, M., J.M. Danger, Aldo Fasolo, et al.. (1988). Distribution and characterization of neuropeptide Y in the brain of an elasmobranch fish. Brain Research. 448(1). 67–76. 74 indexed citations
16.
Andersen, Ann C., et al.. (1988). Immunohistochemical localization of gonadotropin‐releasing‐hormone‐associated peptide in the brain of the frog. The Journal of Comparative Neurology. 273(2). 241–251. 21 indexed citations
17.
Schoofs, Liliane, J.M. Danger, Sylvie Jégou, et al.. (1988). NPY-like peptides occur in the nervous system and midgut of the migratory locust, Locusta migratoria and in the brain of the grey fleshfly, Sarcophaga bullata. Peptides. 9(5). 1027–1036. 45 indexed citations
18.
Danger, J.M., Ann C. Andersen, J. M. Polak, et al.. (1987). Neuropeptide Y(NPY)-like immunoreactive neurons in the brain and pituitary of the amphibian Rana catesbeiana. ZOOLOGICAL SCIENCE. 4(1). 123–134. 39 indexed citations
19.
20.
Tonon, Marie‐Christine, M. Lamacz, M.E. Stoeckel, et al.. (1986). GABA-ergic control of α-Melanocyte-Stimulating Hormone (α-MSH) release by frog neurointermediate lobe in vitro. Brain Research Bulletin. 17(5). 717–723. 41 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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