Martine Cador

8.8k citations
100 papers · 6.4k indexed · 1 hit paper · h-index 43
Topics
Neurotransmitter Receptor Influence on Behavior (65 papers)Receptor Mechanisms and Signaling (24 papers)Neuroscience and Neuropharmacology Research (20 papers)

In The Last Decade

Martine Cador

100 papers receiving 6.3k citations

Hit Papers

Involvement of the amygdala in stimulus-reward associatio...19892026200120131989100200300400500

Peers

Martine Cador
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 4.6k
  • Molecular Biology 2.1k
  • Cognitive Neuroscience 1.7k
  • Social Psychology 1.2k
  • Behavioral Neuroscience 1.2k
Replace Ronald E. See with:
Ronald E. See United States
Mercè Correa United States
Serge H. Ahmed France
Wolfgang H. Sommer Germany
Anton N. M. Schoffelmeer Netherlands
K.C.F. Fone United Kingdom
Clyde W. Hodge United States
Alexander R. Cools Netherlands
Richard J Beninger Canada
Patricia H. Janak United States
Martine Cador relative to Ronald E. See United States Ronald E. See's profile →
Citations per field
00.5×
Ronald E. See · 1×
Citations per year

Countries citing papers authored by Martine Cador

Since Specialization
Citations

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

Fields of papers citing papers by Martine Cador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martine Cador

This figure shows the co-authorship network connecting the top 25 collaborators of Martine Cador. A scholar is included among the top collaborators of Martine Cador 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 Martine Cador. Martine Cador 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
#WorkIndexed citations
1 1
2 8
3 3
4 16
5 15
6 119
7 30
8 13
9 39
10 125
11 44
12 14
13 36
14 69
15 42
16 65
17 37
18 134
19 92
20 388

About Martine Cador

Martine Cador is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 100 papers that have together received 6.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (65 papers), Receptor Mechanisms and Signaling (24 papers) and Neuroscience and Neuropharmacology Research (20 papers). The work is most often cited by research in Behavioral Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (4.6k citations) and Biological Psychiatry (297 citations). Martine Cador has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Trevor W. Robbins, Barry J. Everitt, Luis Stinus, L. Stinus, Michel Le Moal, M. Flavia Barbano, Youssef Bjijou, Serge H. Ahmed, George F. Koob and Jane R. Taylor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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