Daniel Galey

894 citations
29 papers · 826 · h-index 16

Impact in

    • Neurotransmitter Receptor Influence on Behavior
    • Neuroscience and Neuropharmacology Research
    • Neuropeptides and Animal Physiology
    • Memory and Neural Mechanisms
    • Sleep and Wakefulness Research
    • Neural dynamics and brain function

Papers in

Daniel Galey

29 papers receiving 774 citations

Peers

Daniel Galey
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 446
  • Cognitive Neuroscience 372
  • Behavioral Neuroscience 14
  • Neurology 49
  • Developmental Neuroscience 10
Replace E. Maire-Lepoivre with:
E. Maire-Lepoivre France
Ilsun M. White United States
Hoffer Bj United States
Olivia Lehmann France
David Alan Ross United States
Elena Campana Italy
François Laplante Canada
Jamie G. Bunce United States
Yasuhide Shinonaga Japan
Stephanie B. Linley United States
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Citations per field
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E. Maire-Lepoivre · 1×
Citations per year

Countries citing papers authored by Daniel Galey

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Galey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Daniel Galey, 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 Galey Line = papers co-authored together Daniel Galey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977101
2 197684
3 197672
4 197570
5 198868
6 198558
7 199147
8 198940
9 200730
10 198525
11 198625
12 197424
13 198123
14 198823
15 198322
16 198717
17 199415
18 199915
19 197614
20 197912

About Daniel Galey

Daniel Galey is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 29 papers that have together received 826 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (21 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurological disorders and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Sleep and Wakefulness Research (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (446 citations), Cognitive Neuroscience (372 citations), Behavioral Neuroscience (14 citations), Neurology (49 citations) and Developmental Neuroscience (10 citations). Daniel Galey has collaborated with scholars based in France and Canada. Frequent co-authors include Michel Le Moal, Robert Jaffard, H. Simon, Thomas Durkin, Bernard Cardo, Louis Stinus, Pierre Cazala, Aline Marighetto, E. Kempf and Claude Destrade. Their work appears in journals such as Brain Research, Behavioural Brain Research, Physiology & Behavior, Life Sciences and Experimental 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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