Leslie L. Devaud

3.8k citations
65 papers · 3.2k indexed · h-index 31

Leslie L. Devaud

63 papers receiving 3.1k citations

Peers

Leslie L. Devaud
Comparison fields: 5 of 106
  • Behavioral Neuroscience 793
  • Cellular and Molecular Neuroscience 2.3k
  • Biological Psychiatry 216
  • Neurology 508
  • Developmental Neuroscience 152
Replace Douglas B. Matthews with:
Douglas B. Matthews United States
Paolo Follesa Italy
Wayne Rowe Canada
L. Prut Switzerland
Jeffrey L. Weiner United States
Joyce Besheer United States
Kwok‐Tung Lu Taiwan
Gregorio Segovia Spain
Machiko Matsumoto Japan
P. W. Landfield United States
Leslie L. Devaud relative to Douglas B. Matthews United States Douglas B. Matthews's profile →
Citations per field
00.5×1.5×
Douglas B. Matthews · 1×
Citations per year

Countries citing papers authored by Leslie L. Devaud

Since Specialization
Citations

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

Fields of papers citing papers by Leslie L. Devaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie L. Devaud. 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 Leslie L. Devaud. The network helps show where Leslie L. Devaud may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202212
2 201836
3 20137
4 201214
5 200640
6 200450
7 2000279
8 199966
9
GABA as a trophic factor for developing monoamine neurons.
199859
10 1998408
11 199895
12 199831
13 199715
14 1997224
15 199514
16 199558
17 199571
18 199245
19 199128
20 198819

About Leslie L. Devaud

Leslie L. Devaud is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Biological Psychiatry, Neurology and Developmental Neuroscience, having authored 65 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (48 papers), Neurotransmitter Receptor Influence on Behavior (23 papers), Stress Responses and Cortisol (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Receptor Mechanisms and Signaling (9 papers), Memory and Neural Mechanisms (7 papers), Neuroendocrine regulation and behavior (7 papers) and Tryptophan and brain disorders (6 papers). The work is most often cited by research in Behavioral Neuroscience (793 citations), Cellular and Molecular Neuroscience (2.3k citations), Biological Psychiatry (216 citations), Neurology (508 citations) and Developmental Neuroscience (152 citations). Leslie L. Devaud has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include A. Leslie Morrow, A. Chistina Grobin, Douglas B. Matthews, Jean‐Marc Fritschy, Paul E. Alele, R. H. Purdy, Werner Sieghart, Gregory C. Janis, Dennis R. Grayson and Jean M. Lauder. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Pharmacology Biochemistry and Behavior, Journal of Pharmacology and Experimental Therapeutics, Alcohol and Journal of Neurochemistry.

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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