Normand Lavoie

552 total citations
9 papers, 450 citations indexed

About

Normand Lavoie is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Pharmacology. According to data from OpenAlex, Normand Lavoie has authored 9 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 4 papers in Sensory Systems and 2 papers in Pharmacology. Recurrent topics in Normand Lavoie's work include Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Olfactory and Sensory Function Studies (4 papers). Normand Lavoie is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Olfactory and Sensory Function Studies (4 papers). Normand Lavoie collaborates with scholars based in Canada, France and United States. Normand Lavoie's co-authors include Guy Debonnel, Claude de Montigny, Pierre Blier, Trevor Dennis, Jean‐Claude Béïque, Nasser Haddjeri, James G. Martin, Karuthapillai Govindaraju, Harry Karmouty‐Quintana and Toby K. McGovern and has published in prestigious journals such as Neuropsychopharmacology, European Journal of Pharmacology and Pharmacology Biochemistry and Behavior.

In The Last Decade

Normand Lavoie

9 papers receiving 438 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Normand Lavoie Canada 9 222 158 90 81 61 9 450
David Nutt United Kingdom 7 173 0.8× 184 1.2× 114 1.3× 120 1.5× 45 0.7× 10 541
Gillian Campling United Kingdom 11 154 0.7× 82 0.5× 69 0.8× 51 0.6× 59 1.0× 21 414
Taiichiro Imanishi Japan 11 208 0.9× 129 0.8× 168 1.9× 47 0.6× 68 1.1× 17 422
Rajesh C. Shrotriya United States 12 218 1.0× 128 0.8× 102 1.1× 110 1.4× 103 1.7× 16 560
Diana Limoncelli United States 15 265 1.2× 181 1.1× 65 0.7× 76 0.9× 133 2.2× 20 574
E. M. Goodall United Kingdom 8 182 0.8× 144 0.9× 62 0.7× 77 1.0× 30 0.5× 11 416
John Scott Carman United States 9 138 0.6× 171 1.1× 63 0.7× 206 2.5× 55 0.9× 15 464
Lev Gertsik United States 12 151 0.7× 147 0.9× 131 1.5× 86 1.1× 86 1.4× 24 479
Zuzana Babinská Czechia 12 202 0.9× 109 0.7× 121 1.3× 36 0.4× 38 0.6× 17 401
Koichi Nisijima Japan 16 239 1.1× 291 1.8× 110 1.2× 351 4.3× 43 0.7× 30 692

Countries citing papers authored by Normand Lavoie

Since Specialization
Citations

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

Fields of papers citing papers by Normand Lavoie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Normand Lavoie

This figure shows the co-authorship network connecting the top 25 collaborators of Normand Lavoie. A scholar is included among the top collaborators of Normand Lavoie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Normand Lavoie. Normand Lavoie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
McGovern, Toby K., William S. Powell, Brian J. Day, et al.. (2010). Dimethylthiourea protects against chlorine induced changes in airway function in a murine model of irritant induced asthma. Respiratory Research. 11(1). 138–138. 44 indexed citations
2.
Blier, Pierre, et al.. (2006). Effects of different doses of venlafaxine on serotonin and norepinephrine reuptake in healthy volunteers. The International Journal of Neuropsychopharmacology. 10(1). 41–41. 32 indexed citations
3.
Debonnel, Guy, et al.. (2006). Differential physiological effects of a low dose and high doses of venlafaxine in major depression. The International Journal of Neuropsychopharmacology. 10(1). 51–51. 106 indexed citations
4.
Haddjeri, Nasser, Normand Lavoie, & Pierre Blier. (2004). Electrophysiological Evidence for the Tonic Activation of 5-HT1A Autoreceptors in the Rat Dorsal Raphe Nucleus. Neuropsychopharmacology. 29(10). 1800–1806. 67 indexed citations
6.
Béïque, Jean‐Claude, Normand Lavoie, Claude de Montigny, & Guy Debonnel. (1998). Affinities of venlafaxine and various reuptake inhibitors for the serotonin and norepinephrine transporters. European Journal of Pharmacology. 349(1). 129–132. 90 indexed citations
7.
Dennis, Trevor, et al.. (1995). Antidepressants reverse the olfactory bulbectomy-induced decreases in splenic peripheral-type benzodiazepine receptors in rats. European Journal of Pharmacology. 272(2-3). 279–288. 11 indexed citations
8.
Dennis, Trevor, et al.. (1994). Antidepressant-induced modulation of GABAA receptors and β-adrenoceptors but not GABAB receptors in the frontal cortex of olfactory bulbectomised rats. European Journal of Pharmacology. 262(1-2). 143–148. 38 indexed citations
9.
Dennis, Trevor, et al.. (1993). Differential effects of olfactory bulbectomy on GABAA and GABAB receptors in the rat brain. Pharmacology Biochemistry and Behavior. 46(1). 77–82. 30 indexed citations

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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