Magali Plaisant

14 papers and 553 indexed citations i.

About

Magali Plaisant is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Magali Plaisant has authored 14 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Physiology. Recurrent topics in Magali Plaisant’s work include Hedgehog Signaling Pathway Studies (4 papers), Epigenetics and DNA Methylation (3 papers) and Mesenchymal stem cell research (2 papers). Magali Plaisant is often cited by papers focused on Hedgehog Signaling Pathway Studies (4 papers), Epigenetics and DNA Methylation (3 papers) and Mesenchymal stem cell research (2 papers). Magali Plaisant collaborates with scholars based in France, Morocco and United States. Magali Plaisant's co-authors include Christian Dani, Pascal Peraldi, Coralie Fontaine, Wendy Cousin, Nathalie Rochet, Laure‐Emmanuelle Zaragosi, Marin Truchi, Virginie Magnone, Pascal Barbry and Sylvie Leroy and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and FEBS Letters.

In The Last Decade

Co-authorship network of co-authors of Magali Plaisant i

Fields of papers citing papers by Magali Plaisant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Magali Plaisant

Since Specialization
Citations

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

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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2025