Bernard Calvino

120 total papers · 1.3k total citations
45 papers, 982 citations indexed

About

Bernard Calvino is a scholar working on Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Bernard Calvino has authored 45 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Physiology, 14 papers in Cellular and Molecular Neuroscience and 9 papers in Cognitive Neuroscience. Recurrent topics in Bernard Calvino's work include Pain Mechanisms and Treatments (30 papers), Pain Management and Placebo Effect (9 papers) and Neuropeptides and Animal Physiology (8 papers). Bernard Calvino is often cited by papers focused on Pain Mechanisms and Treatments (30 papers), Pain Management and Placebo Effect (9 papers) and Neuropeptides and Animal Physiology (8 papers). Bernard Calvino collaborates with scholars based in France, United Kingdom and United States. Bernard Calvino's co-authors include Daniel Le Bars, Luis Villanueva, Sophie Pezet, J. Łagowska, Yehezkel Ben‐Ari, Jean Marie Besson, Karine Thibault, Antoine Depaulis, Céline Banal and Marc Peschanski and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Bernard Calvino

37 papers receiving 941 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bernard Calvino	642	380	155	155	151	45	982
Filipa Pinto‐Ribeiro	481 0.7×	294 0.8×	190 1.2×	139 0.9×	99 0.7×	53	1.1k
Megan L. Uhelski	535 0.8×	310 0.8×	186 1.2×	139 0.9×	214 1.4×	37	1.0k
Yu‐Lin Dong	567 0.9×	465 1.2×	284 1.8×	111 0.7×	148 1.0×	47	1.1k
Heather S. Hain	637 1.0×	384 1.0×	278 1.8×	137 0.9×	114 0.8×	20	1.1k
Seung Kil Hong	634 1.0×	452 1.2×	190 1.2×	191 1.2×	155 1.0×	33	1.1k
Chia‐Chuan Wang	655 1.0×	571 1.5×	275 1.8×	152 1.0×	151 1.0×	31	1.1k
Fu‐Quan Huo	527 0.8×	400 1.1×	253 1.6×	121 0.8×	131 0.9×	36	1.1k
Stacey C. LaGraize	848 1.3×	457 1.2×	149 1.0×	119 0.8×	222 1.5×	17	1.0k
Mayumi Nakajima	470 0.7×	484 1.3×	334 2.2×	97 0.6×	95 0.6×	45	998
W.A. Prado	528 0.8×	345 0.9×	293 1.9×	162 1.0×	165 1.1×	48	1.1k

Countries citing papers authored by Bernard Calvino

Since Specialization

Citations

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

Fields of papers citing papers by Bernard Calvino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Calvino

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

All Works

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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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