Daniel Cattaert

4.1k citations
96 papers · 3.1k · 1 hit paper · h-index 27

Impact in

Papers in

Daniel Cattaert

95 papers receiving 3.0k citations

Daniel Cattaert's Hit Papers

Serotonin in Animal Cognition and Behavior 2020 · 240 citations
2400+2+4Years since publication50100150200

Peers

Daniel Cattaert
Comparison fields: 5 of 137
  • Cellular and Molecular Neuroscience 1.5k
  • Cognitive Neuroscience 873
  • Neurology 223
  • Developmental Neuroscience 89
  • Endocrine and Autonomic Systems 110
Replace Irina N. Beloozerova with:
Irina N. Beloozerova United States
Hector M. Maldonado Argentina
Peter Wallén Sweden
Cheryl A. Kitt United States
Donald S. Faber United States
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Yutaka Fujito Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Cattaert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cattaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010491
2
Serotonin in Animal Cognition and Behavior
Hit paper breakdown →
2020240
3 2014202
4 1983154
5 1995144
6 1999106
7 201798
8 199293
9 199991
10 201580
11 201377
12 200776
13 199167
14 199667
15 201660
16 201555
17 201653
18 200652
19 201850
20 201950

About Daniel Cattaert

Daniel Cattaert is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Ecology, Ecology, Evolution, Behavior and Systematics and Biomedical Engineering, having authored 96 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (48 papers), Neural dynamics and brain function (17 papers), Muscle activation and electromyography studies (16 papers), Neuroscience and Neural Engineering (14 papers), Crustacean biology and ecology (14 papers), Ion channel regulation and function (13 papers), Neuroscience and Neuropharmacology Research (12 papers) and Cephalopods and Marine Biology (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (873 citations), Neurology (223 citations), Developmental Neuroscience (89 citations) and Endocrine and Autonomic Systems (110 citations). Daniel Cattaert has collaborated with scholars based in France, United States and Australia. Frequent co-authors include F. Clarac, Julien Bacqué-Cazenave, Jean‐Paul Delbecque, András Semjén, Philippe De Deurwaerdère, Pascal Fossat, Laurent Vinay, Céline Jean-Xavier, Jeffery J. Summers and Abdeljabbar El Manira. Their work appears in journals such as Journal of Neurophysiology, Journal of Experimental Biology, Journal of Comparative Physiology A, Journal of Neuroscience and The Journal of Comparative Neurology.

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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