Martine Daoust

2.7k citations
75 papers · 2.3k · h-index 28

Impact in

Papers in

Martine Daoust

72 papers receiving 2.2k citations

Peers

Martine Daoust
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 1.5k
  • Endocrine and Autonomic Systems 200
  • Pharmacology 456
  • Behavioral Neuroscience 92
  • Biological Psychiatry 63
Replace Kinga K. Borowicz with:
Kinga K. Borowicz Poland
David M. Jackson Australia
Gerald D. Frye United States
Shailesh P. Banerjee United States
Maria Cristina Tomasini Italy
M J Kuhar United States
Giampaolo Mereu Italy
Eyassu Chernet United States
François Petitet France
Roberto Coccurello Italy
Martine Daoust relative to Kinga K. Borowicz Poland Kinga K. Borowicz's profile →
Citations per field
00.5×3.1×
Kinga K. Borowicz · 1×
Citations per year

Countries citing papers authored by Martine Daoust

Since Specialization
Citations

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

Fields of papers citing papers by Martine Daoust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004157
2 1984146
3 1998140
4 2003128
5 1985126
6 2009104
7 2002102
8 199995
9 198787
10 200171
11 199262
12 200960
13 199358
14 200858
15 200251
16 200849
17 198446
18 200946
19 200635
20 200834

About Martine Daoust

Martine Daoust is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (28 papers), Neuroscience and Neuropharmacology Research (18 papers), Receptor Mechanisms and Signaling (11 papers), Prenatal Substance Exposure Effects (10 papers), Neuroscience of respiration and sleep (9 papers), Adipose Tissue and Metabolism (8 papers), Alcohol Consumption and Health Effects (7 papers) and High Altitude and Hypoxia (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Endocrine and Autonomic Systems (200 citations), Pharmacology (456 citations), Behavioral Neuroscience (92 citations) and Biological Psychiatry (63 citations). Martine Daoust has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Mickaël Naassïla, Olivier Pierrefiche, Catherine Ledent, Christian Saligaut, F Boismare, J.P. Lhuintre, Pierre Chrétien, Nicholas Moore, Hakim Houchi and Philippe Durbin. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Alcoholism Clinical and Experimental Research, Neuropharmacology, Alcohol and Alcohol and Alcoholism.

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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