Eric Augier

1.4k citations
24 papers · 957 indexed · h-index 16

Eric Augier

24 papers receiving 951 citations

Peers

Eric Augier
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 730
  • Behavioral Neuroscience 87
  • Biological Psychiatry 50
  • Cognitive Neuroscience 274
  • Endocrine and Autonomic Systems 55
Replace Tracie A. Paine with:
Tracie A. Paine United States
David N. Linsenbardt United States
Vidhya Kumaresan United States
Éric Balado France
Suzanne M. Weber United States
Janice W. Smith United Kingdom
Deanna L. Wallace United States
Munir Gunes Kutlu United States
Esi Domi Italy
Samuel W. Centanni United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric Augier

Since Specialization
Citations

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

Fields of papers citing papers by Eric Augier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202313
2 202210
3 202212
4 202152
5 202117
6 20207
7 202014
8 201970
9 2018167
10 201860
11 201750
12 201715
13 201630
14 201640
15 201434
16 201384
17 201336
18 201216
19 201139
20 2010137

About Eric Augier

Eric Augier is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Cognitive Neuroscience, Molecular Biology and Social Psychology, having authored 24 papers that have together received 957 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (21 papers), Receptor Mechanisms and Signaling (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Neuroendocrine regulation and behavior (4 papers), Memory and Neural Mechanisms (4 papers), Stress Responses and Cortisol (3 papers), Neuropeptides and Animal Physiology (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (730 citations), Behavioral Neuroscience (87 citations), Biological Psychiatry (50 citations), Cognitive Neuroscience (274 citations) and Endocrine and Autonomic Systems (55 citations). Eric Augier has collaborated with scholars based in Sweden, United States and France. Frequent co-authors include Markus Heilig, Serge H. Ahmed, Caroline Vouillac‐Mendoza, Russell S. Dulman, Esi Domi, Estelle Barbier, Gaëlle Augier, Magalie Lenoir, Riccardo Barchiesi and Louise Adermark. Their work appears in journals such as Neuropsychopharmacology, Addiction Biology, Journal of Visualized Experiments, Molecular Psychiatry and Biological Psychiatry.

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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