Philippe Luccarini

898 total citations
30 papers, 727 citations indexed

About

Philippe Luccarini is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Philippe Luccarini has authored 30 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physiology, 16 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in Philippe Luccarini's work include Pain Mechanisms and Treatments (21 papers), Neuropeptides and Animal Physiology (15 papers) and Botulinum Toxin and Related Neurological Disorders (6 papers). Philippe Luccarini is often cited by papers focused on Pain Mechanisms and Treatments (21 papers), Neuropeptides and Animal Physiology (15 papers) and Botulinum Toxin and Related Neurological Disorders (6 papers). Philippe Luccarini collaborates with scholars based in France, Italy and Canada. Philippe Luccarini's co-authors include Radhouane Dallel, Alain Woda, Jean-Louis Molat, Lénaı̈c Monconduit, Alain Artola, Daniel L. Voisin, Christian Dualé, J. Coste, Khaled Abdallah and O. Pompeiano and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain.

In The Last Decade

Philippe Luccarini

29 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Luccarini France 18 510 305 147 113 93 30 727
Michelle K. Winter United States 16 382 0.7× 297 1.0× 176 1.2× 218 1.9× 58 0.6× 31 952
Roberto De Col Germany 13 333 0.7× 195 0.6× 280 1.9× 111 1.0× 93 1.0× 22 705
Masayoshi Tsuruoka Japan 16 499 1.0× 251 0.8× 47 0.3× 101 0.9× 48 0.5× 45 629
Chia‐Chuan Wang Taiwan 17 654 1.3× 568 1.9× 73 0.5× 276 2.4× 61 0.7× 31 1.2k
Hong Cao China 18 605 1.2× 445 1.5× 48 0.3× 246 2.2× 40 0.4× 38 984
Jing‐Shi Tang China 19 721 1.4× 580 1.9× 63 0.4× 112 1.0× 63 0.7× 42 1.1k
Kan Miyoshi Japan 20 899 1.8× 667 2.2× 73 0.5× 328 2.9× 45 0.5× 28 1.3k
Jeanne O. Pieper United States 10 648 1.3× 553 1.8× 57 0.4× 275 2.4× 57 0.6× 12 1.2k
Bright N. Okine Ireland 15 422 0.8× 335 1.1× 79 0.5× 137 1.2× 74 0.8× 22 968
J P Gent United Kingdom 19 298 0.6× 528 1.7× 194 1.3× 229 2.0× 39 0.4× 37 1.1k

Countries citing papers authored by Philippe Luccarini

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Luccarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Luccarini

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Luccarini. A scholar is included among the top collaborators of Philippe Luccarini 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 Philippe Luccarini. Philippe Luccarini 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.
Beaulieu, Claudie, Karine Hérault, Daniel L. Voisin, et al.. (2025). Contribution of peripheral and central delta opioid receptors in the relief of migraine‐like headache in female and male rats. British Journal of Pharmacology. 182(18). 4380–4399.
2.
Ouimet, Tanja, et al.. (2024). Synergistic effect of combining dual enkephalinase inhibitor PL37 and sumatriptan in a preclinical model of migraine. Headache The Journal of Head and Face Pain. 64(3). 243–252. 3 indexed citations
3.
Luccarini, Philippe, et al.. (2022). Dual enkephalinase inhibitor PL37 as a potential novel treatment of migraine: evidence from a rat model. Brain. 145(8). 2664–2670. 11 indexed citations
4.
5.
6.
Monconduit, Lénaı̈c, et al.. (2014). The nucleus raphe magnus OFF-cells are involved in diffuse noxious inhibitory controls. Experimental Neurology. 256. 39–45. 22 indexed citations
7.
Luccarini, Philippe, et al.. (2013). Spinal   and   Opioids Inhibit Both Thermal and Mechanical Pain in Rats. Journal of Neuroscience. 33(28). 11703–11714. 28 indexed citations
8.
Lapirot, Olivier, C. Mélin, Lénaı̈c Monconduit, et al.. (2011). Tonic and phasic descending dopaminergic controls of nociceptive transmission in the medullary dorsal horn. Pain. 152(8). 1821–1831. 61 indexed citations
9.
10.
Lapirot, Olivier, et al.. (2008). Involvement of the nucleus raphe magnus in Diffuse Noxious Inhibitory Controls (DNIC) in the rat. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
11.
Coste, J., Daniel L. Voisin, Loïs S. Miraucourt, Radhouane Dallel, & Philippe Luccarini. (2007). Dorsal horn NK1-expressing neurons control windup of downstream trigeminal nociceptive neurons. Pain. 137(2). 340–351. 22 indexed citations
12.
Luccarini, Philippe, et al.. (2006). The Orofacial Formalin Test in the Mouse: A Behavioral Model for Studying Physiology and Modulation of Trigeminal Nociception. Journal of Pain. 7(12). 908–914. 123 indexed citations
13.
Woda, Alain, Olivier Blanc, Daniel L. Voisin, et al.. (2004). Bidirectional modulation of windup by NMDA receptors in the rat spinal trigeminal nucleus. European Journal of Neuroscience. 19(8). 2009–2016. 10 indexed citations
14.
Luccarini, Philippe, Barry J. Sessle, & Alain Woda. (2001). Superficial and deep convergent nociceptive neurons are differentially affected by N-methyl-D-aspartate applied on the brainstem surface of the rat medullary dorsal horn. Neuroscience. 107(2). 311–316. 12 indexed citations
15.
Dallel, Radhouane, Christian Dualé, Philippe Luccarini, & Jean-Louis Molat. (1999). Stimulus‐function, wind‐up and modulation by diffuse noxious inhibitory controls of responses of convergent neurons of the spinal trigeminal nucleus oralis. European Journal of Neuroscience. 11(1). 31–40. 49 indexed citations
16.
Parada, Carlos Amílcar, Philippe Luccarini, & Alain Woda. (1997). Effect of an NMDA receptor antagonist on the wind-up of neurons in the trigeminal oralis subnucleus. Brain Research. 761(2). 313–320. 18 indexed citations
17.
Dallel, Radhouane, Philippe Luccarini, Jean-Louis Molat, & Alain Woda. (1996). Effects of systemic morphine on the activity of convergent neurons of spinal trigeminal nucleus oralis in the rat. European Journal of Pharmacology. 314(1-2). 19–25. 25 indexed citations
18.
Dualé, Christian, Philippe Luccarini, Rémi Cadet, & Alain Woda. (1996). Effects of Morphine Microinjections into the Trigeminal Sensory Complex on the Formalin Test in the Rat. Experimental Neurology. 142(2). 331–339. 19 indexed citations
19.
Luccarini, Philippe, et al.. (1995). Antinociceptive effect of morphine microinjections into the spinal trigeminal subnucleus oralis. Neuroreport. 6(2). 365–368. 20 indexed citations
20.
Luccarini, Philippe, Y Gahéry, & O. Pompeiano. (1990). Injection of a cholinergic agonist in the dorsolateral pontine tegmentum of cats affects the posturokinetic responses to cortical stimulation. Neuroscience Letters. 114(1). 75–81. 5 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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