Philippe Luccarini

905 citations
30 papers · 730 · h-index 18

Impact in

Papers in

Philippe Luccarini

29 papers receiving 722 citations

Peers

Philippe Luccarini
Comparison fields: 5 of 73
  • Physiology 469
  • Sensory Systems 77
  • Cellular and Molecular Neuroscience 277
  • Psychiatry and Mental health 134
  • Endocrine and Autonomic Systems 59
Replace Roberto De Col with:
Roberto De Col Germany
Bright N. Okine Ireland
Masayoshi Tsuruoka Japan
Norifumi Yonehara Japan
Jing‐Shi Tang China
Chia‐Chuan Wang Taiwan
Shengtai Zhou United States
Gregory L. Hargett United States
Kan Miyoshi Japan
Teréz Bagoly Hungary
Philippe Luccarini relative to Roberto De Col Germany Roberto De Col's profile →
Citations per field
00.5×1.7×
Roberto De Col · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006123
2 201161
3 199950
4 201349
5 200840
6 200932
7 201530
8 201328
9 201727
10 199625
11 200424
12
Cholinoceptive pontine reticular structures modify the postural adjustments during the limb movements induced by cortical stimulation.
199024
13 200722
14 201422
15 199821
16 199520
17 199619
18 199718
19 200117
20 200314

About Philippe Luccarini

Philippe Luccarini is a scholar working on Physiology, Cellular and Molecular Neuroscience, Neurology, Neurology and Psychiatry and Mental health, having authored 30 papers that have together received 730 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Neuropeptides and Animal Physiology (14 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Migraine and Headache Studies (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Neuroscience of respiration and sleep (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Physiology (469 citations), Sensory Systems (77 citations), Cellular and Molecular Neuroscience (277 citations), Psychiatry and Mental health (134 citations) and Endocrine and Autonomic Systems (59 citations). Philippe Luccarini has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include Radhouane Dallel, Alain Woda, Jean-Louis Molat, Lénaı̈c Monconduit, Alain Artola, Daniel L. Voisin, Christian Dualé, Khaled Abdallah, J. Coste and Y Gahéry. Their work appears in journals such as Pain, Neuroscience, Cephalalgia, Brain Research and Experimental Neurology.

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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