Laurent Bardin

2.6k total citations
49 papers, 2.1k citations indexed

About

Laurent Bardin is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Laurent Bardin has authored 49 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 25 papers in Physiology and 14 papers in Molecular Biology. Recurrent topics in Laurent Bardin's work include Neurotransmitter Receptor Influence on Behavior (26 papers), Pain Mechanisms and Treatments (23 papers) and Receptor Mechanisms and Signaling (10 papers). Laurent Bardin is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (26 papers), Pain Mechanisms and Treatments (23 papers) and Receptor Mechanisms and Signaling (10 papers). Laurent Bardin collaborates with scholars based in France, Germany and Spain. Laurent Bardin's co-authors include Adrian Newman‐Tancredi, Ronan Depoortère, Alain Eschalier, J Lavarenne, Françis C. Colpaert, Agnès L. Auclair, Wouter Koek, Mark S. Kleven, Bernard Vacher and Abdelkrim Alloui and has published in prestigious journals such as Brain Research, Pain and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Laurent Bardin

49 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurent Bardin France 26 1.1k 987 555 380 273 49 2.1k
Raghavendra Vasudeva United States 12 1.1k 0.9× 1.7k 1.7× 391 0.7× 220 0.6× 299 1.1× 19 2.4k
Lih‐Chu Chiou Taiwan 28 1.0k 0.9× 930 0.9× 839 1.5× 341 0.9× 250 0.9× 97 2.8k
Ryszard J. Oles United Kingdom 16 1.1k 1.0× 545 0.6× 793 1.4× 173 0.5× 250 0.9× 19 1.7k
Ida Marabese Italy 32 1.3k 1.1× 1.4k 1.5× 720 1.3× 741 1.9× 80 0.3× 75 2.6k
P.J. Birch United Kingdom 23 1.2k 1.1× 695 0.7× 860 1.5× 240 0.6× 189 0.7× 49 1.9k
Francisco J. Gil‐Bea Spain 31 662 0.6× 833 0.8× 831 1.5× 406 1.1× 212 0.8× 53 2.5k
Jonathan P. Hatcher United Kingdom 12 811 0.7× 1.2k 1.2× 610 1.1× 165 0.4× 156 0.6× 19 2.5k
T. Meert Belgium 20 723 0.6× 462 0.5× 445 0.8× 183 0.5× 381 1.4× 44 1.7k
Tony L. Yaksh United States 13 1.5k 1.3× 2.1k 2.1× 764 1.4× 298 0.8× 94 0.3× 19 2.7k
F. C. Colpaert France 25 1.5k 1.3× 848 0.9× 798 1.4× 211 0.6× 141 0.5× 38 2.1k

Countries citing papers authored by Laurent Bardin

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Bardin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Bardin

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Bardin. A scholar is included among the top collaborators of Laurent Bardin 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 Laurent Bardin. Laurent Bardin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Depoortère, Ronan, Laurent Bardin, & Adrian Newman‐Tancredi. (2024). Fentanyl dose-sparing in polyarthritic rats requires full agonism at 5-HT1A receptors: Comparison between NLX-112, (±)8-OH-DPAT, and buspirone. Journal of Opioid Management. 20(4). 269–274. 1 indexed citations
2.
Bardin, Laurent, et al.. (2023). Hypertrophie bénigne de la prostate : une communauté digitale pour identifier les attentes des patients. 33(2). F38–F48. 1 indexed citations
3.
Depoortère, Ronan, Laurent Bardin, Agnès L. Auclair, L. A. Bruins Slot, & Adrian Newman‐Tancredi. (2020). Marble Burying in NMRI Male Mice Is Preferentially Sensitive to Pre- Versus Postsynaptic 5-HT<sub>1A</sub> Receptor Biased Agonists. Pharmacology. 106(1-2). 114–118. 5 indexed citations
4.
Newman‐Tancredi, Adrian, Laurent Bardin, Agnès L. Auclair, et al.. (2018). NLX-112, a highly selective 5-HT 1A receptor agonist, mediates analgesia and antidepressant-like activity in rats via spinal cord and prefrontal cortex 5-HT 1A receptors, respectively. Brain Research. 1688. 1–7. 26 indexed citations
5.
6.
Auclair, Agnès L., J.-C. Martel, M.B. Assié, et al.. (2013). Levomilnacipran (F2695), a norepinephrine-preferring SNRI: Profile in vitro and in models of depression and anxiety. Neuropharmacology. 70. 338–347. 84 indexed citations
7.
Berrocoso, Esther, J.A. Micó, Olivier Vitton, et al.. (2011). Evaluation of milnacipran, in comparison with amitriptyline, on cold and mechanical allodynia in a rat model of neuropathic pain. European Journal of Pharmacology. 655(1-3). 46–51. 46 indexed citations
8.
Depoortère, Ronan, Mathieu Méleine, Laurent Bardin, et al.. (2011). Milnacipran is active in models of irritable bowel syndrome and abdominal visceral pain in rodents. European Journal of Pharmacology. 672(1-3). 83–87. 14 indexed citations
10.
Bardin, Laurent, et al.. (2009). 5‐HT1A receptors are involved in the effects of xaliproden on G‐protein activation, neurotransmitter release and nociception. British Journal of Pharmacology. 158(1). 232–242. 25 indexed citations
11.
12.
Slot, L. A. Bruins, Laurent Bardin, Agnès L. Auclair, Ronan Depoortère, & Adrian Newman‐Tancredi. (2008). Effects of antipsychotics and reference monoaminergic ligands on marble burying behavior in mice. Behavioural Pharmacology. 19(2). 145–152. 47 indexed citations
13.
Assié, Marie‐Bernadette, et al.. (2008). The antipsychotics clozapine and olanzapine increase plasma glucose and corticosterone levels in rats: Comparison with aripiprazole, ziprasidone, bifeprunox and F15063. European Journal of Pharmacology. 592(1-3). 160–166. 45 indexed citations
14.
Bardin, Laurent, Agnès L. Auclair, Mark S. Kleven, et al.. (2007). Pharmacological profiles in rats of novel antipsychotics with combined dopamine D2/serotonin 5-HT1A activity: comparison with typical and atypical conventional antipsychotics. Behavioural Pharmacology. 18(2). 103–118. 38 indexed citations
15.
Bardin, Laurent & Françis C. Colpaert. (2003). Role of spinal 5‐HT1A receptors in morphine analgesia and tolerance in rats. European Journal of Pain. 8(3). 253–261. 38 indexed citations
16.
Colpaert, Françis C., J.P. Tarayre, Wouter Koek, et al.. (2002). Large-amplitude 5-HT1A receptor activation: a new mechanism of profound, central analgesia. Neuropharmacology. 43(6). 945–958. 115 indexed citations
17.
Bardin, Laurent, et al.. (2001). In the formalin model of tonic nociceptive pain, 8-OH-DPAT produces 5-HT1A receptor-mediated, behaviorally specific analgesia. European Journal of Pharmacology. 421(2). 109–114. 61 indexed citations
18.
Bardin, Laurent, J Lavarenne, & Alain Eschalier. (2000). Serotonin receptor subtypes involved in the spinal antinociceptive effect of 5-HT in rats. Pain. 86(1). 11–18. 195 indexed citations
19.
Bardin, Laurent, Joseph A. Kim, & Shepard Siegel. (2000). The role of formalin-induced pain in morphine tolerance, withdrawal, and reward.. Experimental and Clinical Psychopharmacology. 8(1). 61–67. 8 indexed citations
20.
Bardin, Laurent, et al.. (1997). Effect of intrathecal serotonin on nociception in rats: influence of the pain test used. Experimental Brain Research. 113(1). 81–87. 90 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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