J.M. Danger

971 citations
25 papers · 878 · h-index 17

Impact in

Papers in

J.M. Danger

25 papers receiving 864 citations

Peers

J.M. Danger
Comparison fields: 5 of 72
  • Endocrine and Autonomic Systems 362
  • Cellular and Molecular Neuroscience 622
  • Reproductive Medicine 232
  • Behavioral Neuroscience 71
  • Physiology 52
Replace M. Cambré with:
M. Cambré Belgium
Jean‐Michel Danger France
Ingrid Lundell Sweden
M. Vallarino Italy
B Mess Hungary
P. Dubourg France
Fermı́n C. Iturriza Argentina
Kiyoshi Oshima Japan
Keisuke Ikegami Japan
Joan W. Witkin United States
J.M. Danger relative to M. Cambré Belgium M. Cambré's profile →
Citations per field
00.5×2.8×
M. Cambré · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985140
2 1989103
3 199187
4 198874
5 198974
6 198845
7 198943
8 198641
9
Neuropeptide Y(NPY)-like immunoreactive neurons in the brain and pituitary of the amphibian Rana catesbeiana
198739
10 199037
11 198735
12 200723
13 199022
14 198821
15 200420
16 200219
17 199319
18 198711
19 199011
20 20125

About J.M. Danger

J.M. Danger is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Reproductive Medicine, Endocrine and Autonomic Systems and Health, Toxicology and Mutagenesis, having authored 25 papers that have together received 878 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Hypothalamic control of reproductive hormones (8 papers), Receptor Mechanisms and Signaling (8 papers), Regulation of Appetite and Obesity (7 papers), Environmental Toxicology and Ecotoxicology (5 papers), Neurobiology and Insect Physiology Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (362 citations), Cellular and Molecular Neuroscience (622 citations), Reproductive Medicine (232 citations), Behavioral Neuroscience (71 citations) and Physiology (52 citations). J.M. Danger has collaborated with scholars based in France, Canada and Italy. Frequent co-authors include Hubert Vaudry, G. Pelletier, F. Leboulenger, M.C. Tonon, Marie‐Christine Tonon, A. Calas, P. Dubourg, Sylvie Jégou, Serge Saint-Pierre and M. Lamacz. Their work appears in journals such as Annals of the New York Academy of Sciences, Brain Research, The Journal of Comparative Neurology, Peptides and Fish Physiology and Biochemistry.

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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