Mélanie Cavalier

15 total papers · 446 total citations
12 papers, 366 citations indexed

About

Mélanie Cavalier is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Mélanie Cavalier has authored 12 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Social Psychology. Recurrent topics in Mélanie Cavalier's work include Neuroscience and Neuropharmacology Research (6 papers), Anesthesia and Neurotoxicity Research (2 papers) and Neonatal and fetal brain pathology (2 papers). Mélanie Cavalier is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Anesthesia and Neurotoxicity Research (2 papers) and Neonatal and fetal brain pathology (2 papers). Mélanie Cavalier collaborates with scholars based in France and Morocco. Mélanie Cavalier's co-authors include Catherine Cohen‐Solal, Michel Vignes, Janique Guiramand, Fabien Lanté, Gérard Barbanel, Marie‐Céleste de Jesus Ferreira, Nadine Crouzin, Tangui Maurice, Johann Meunier and Yannick Marchalant and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biological Psychiatry.

In The Last Decade

Mélanie Cavalier

11 papers receiving 356 citations

Author Peers

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

Author Last Decade Papers Cites
Mélanie Cavalier 117 109 79 77 71 12 366
Juan M. Lima‐Ojeda 141 1.2× 128 1.2× 54 0.7× 40 0.5× 78 1.1× 17 410
Alessandro Valzania 101 0.9× 86 0.8× 54 0.7× 73 0.9× 104 1.5× 13 387
Ana Isabel Santos 101 0.9× 110 1.0× 69 0.9× 73 0.9× 136 1.9× 13 363
Mohsen Seifi 130 1.1× 68 0.6× 63 0.8× 78 1.0× 143 2.0× 21 440
Vasco C. Sousa 170 1.5× 87 0.8× 45 0.6× 64 0.8× 115 1.6× 13 397
Pierre‐Luc Germain 99 0.8× 61 0.6× 32 0.4× 69 0.9× 108 1.5× 9 423
Sang-Bin Baek 106 0.9× 42 0.4× 70 0.9× 109 1.4× 53 0.7× 12 394
Yingxu Dong 109 0.9× 72 0.7× 65 0.8× 49 0.6× 72 1.0× 10 358
Mustafa S. Kassem 90 0.8× 81 0.7× 93 1.2× 61 0.8× 87 1.2× 10 365
Raúl Ballestín 77 0.7× 99 0.9× 69 0.9× 43 0.6× 125 1.8× 19 336

Countries citing papers authored by Mélanie Cavalier

Since Specialization
Citations

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

Fields of papers citing papers by Mélanie Cavalier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mélanie Cavalier

This figure shows the co-authorship network connecting the top 25 collaborators of Mélanie Cavalier. A scholar is included among the top collaborators of Mélanie Cavalier 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 Mélanie Cavalier. Mélanie Cavalier 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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2026