Roland Peyron

10.0k total citations · 1 hit paper
115 papers, 7.6k citations indexed

About

Roland Peyron is a scholar working on Physiology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Roland Peyron has authored 115 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Physiology, 51 papers in Cognitive Neuroscience and 34 papers in Neurology. Recurrent topics in Roland Peyron's work include Pain Mechanisms and Treatments (70 papers), Pain Management and Placebo Effect (38 papers) and Transcranial Magnetic Stimulation Studies (28 papers). Roland Peyron is often cited by papers focused on Pain Mechanisms and Treatments (70 papers), Pain Management and Placebo Effect (38 papers) and Transcranial Magnetic Stimulation Studies (28 papers). Roland Peyron collaborates with scholars based in France, United States and Denmark. Roland Peyron's co-authors include Luís García‐Larrea, B. Laurent, François Mauguı̀ere, Patrick Mertens, Bernard Laurent, Philippe Convers, M. Sindou, Isabelle Faillenot, F. Lávenne and Nicolas Costes and has published in prestigious journals such as Neuron, NeuroImage and Brain.

In The Last Decade

Roland Peyron

108 papers receiving 7.4k citations

Hit Papers

Functional imaging of brain responses to pain. A review a... 2000 2026 2008 2017 2000 500 1000 1.5k

Peers

Roland Peyron
Comparison fields: 5 of 133
  • Physiology 4.5k
  • Cognitive Neuroscience 3.1k
  • Neurology 2.3k
  • Anesthesiology and Pain Medicine 1.8k
  • Psychiatry and Mental health 1.3k
Replace B. Laurent with:
B. Laurent France
Martin Tegenthoff Germany
Massimiliano Valeriani Italy
Walter Magerl Germany
Luís García‐Larrea France
David A. Seminowicz United States
Robert D. Foreman United States
Christian S. Stohler United States
Peter Schwenkreis Germany
Jian Kong United States
B. Laurent France View profile →
Citations per field, relative to Roland Peyron
Roland Peyron · 1×
Citations per year, relative to Roland Peyron
Roland Peyron · 1×

Countries citing papers authored by Roland Peyron

Since Specialization
Citations

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

Fields of papers citing papers by Roland Peyron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Peyron

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Peyron. A scholar is included among the top collaborators of Roland Peyron 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 Roland Peyron. Roland Peyron 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
# Work Indexed citations
1 1
2 3
3 20
4 12
5 21
6 46
7 35
8 3
9 103
10 167
11 131
12 2
13 187
14 212
15 170
16 35
17 483
18 429
19 162
20 207

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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