Lauriane Ramet

9 total papers · 680 total citations
7 papers, 483 citations indexed

About

Lauriane Ramet is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Lauriane Ramet has authored 7 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 2 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Lauriane Ramet's work include Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Lauriane Ramet is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Lauriane Ramet collaborates with scholars based in Canada, France and United States. Lauriane Ramet's co-authors include Marie‐Josée Bourque, Annie Laplante, Louis‐Éric Trudeau, Diana Matheoud, Anna‐Maija Penttinen, Charles Ducrot, Ahmed M. Fahmy, Armelle Le Campion, Heidi M. McBride and Samantha Gruenheid and has published in prestigious journals such as Nature, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Lauriane Ramet

7 papers receiving 480 citations

Hit Papers

Intestinal infection trig... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Lauriane Ramet 211 189 134 118 101 7 483
Pauline Wales 200 0.9× 261 1.4× 162 1.2× 150 1.3× 60 0.6× 6 486
Acacia M Hori 235 1.1× 211 1.1× 116 0.9× 147 1.2× 82 0.8× 7 517
Bharathi N. Palanisamy 207 1.0× 133 0.7× 83 0.6× 62 0.5× 132 1.3× 12 474
Sotirios Polychronis 104 0.5× 344 1.8× 159 1.2× 123 1.0× 81 0.8× 12 510
Sabita Neupane 186 0.9× 187 1.0× 93 0.7× 81 0.7× 54 0.5× 9 458
Danping Duan 128 0.6× 251 1.3× 88 0.7× 64 0.5× 46 0.5× 10 500
Ashok Philip 127 0.6× 271 1.4× 128 1.0× 74 0.6× 71 0.7× 13 534
Carlos R. Lazo 119 0.6× 226 1.2× 170 1.3× 41 0.3× 106 1.0× 7 508
Salvatore Bonvegna 105 0.5× 402 2.1× 65 0.5× 101 0.9× 70 0.7× 15 517
Brage Brakedal 169 0.8× 214 1.1× 97 0.7× 84 0.7× 53 0.5× 10 528

Countries citing papers authored by Lauriane Ramet

Since Specialization
Citations

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

Fields of papers citing papers by Lauriane Ramet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauriane Ramet

This figure shows the co-authorship network connecting the top 25 collaborators of Lauriane Ramet. A scholar is included among the top collaborators of Lauriane Ramet 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 Lauriane Ramet. Lauriane Ramet 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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