Lauriane Ramet

695 total citations · 1 hit paper
7 papers, 487 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 487 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), Parkinson's Disease Mechanisms and Treatments (2 papers) and Memory and Neural Mechanisms (2 papers). Lauriane Ramet is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Memory and Neural Mechanisms (2 papers). Lauriane Ramet collaborates with scholars based in Canada, France and Germany. Lauriane Ramet's co-authors include Marie‐Josée Bourque, Louis‐Éric Trudeau, Lei Zhu, Diana Matheoud, Romain Cayrol, Charles Ducrot, Annie Laplante, Heidi M. McBride, Anna‐Maija Penttinen 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 484 citations

Hit Papers

Intestinal infection triggers Parkinson’s disease-like sy... 2019 2026 2021 2023 2019 100 200 300

Peers

Lauriane Ramet
Comparison fields: 5 of 77
  • Molecular Biology 212
  • Neurology 192
  • Cellular and Molecular Neuroscience 134
  • Physiology 119
  • Neurology 102
Replace Jin‐Xia Zhu with:
Jin‐Xia Zhu China
Pauline Wales Germany
Jinchi Liao China
Li‐Fei Zheng China
Ruth E. Musgrove Germany
Chrysoula Marogianni Greece
Mariana Temido‐Ferreira Portugal
Laura Montero United States
Jin‐Xia Zhu China View profile →
Citations per field, relative to Lauriane Ramet
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Citations per year, relative to Lauriane Ramet
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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

7 of 7 papers shown
# Work Indexed citations
1
Intestinal infection triggers Parkinson’s disease-like symptoms in Pink1−/− mice breakdown →
347
2 3
3 54
4 10
5 48
6 14
7 11

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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