Laure Favot

30 papers and 747 indexed citations i.

About

Laure Favot is a scholar working on Molecular Biology, Immunology and Dermatology. According to data from OpenAlex, Laure Favot has authored 30 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Immunology and 10 papers in Dermatology. Recurrent topics in Laure Favot’s work include Dermatology and Skin Diseases (9 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Laure Favot is often cited by papers focused on Dermatology and Skin Diseases (9 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Laure Favot collaborates with scholars based in France, United Kingdom and Canada. Laure Favot's co-authors include Claire Lugnier, Thérèse Keravis, Jean‐Claude Lecron, Ramaroson Andriantsitohaina, Sophie Martin, Franck Morel, Jean‐François Jégou, Vincent Holl, Alain Le Bec and Rachel L. Matz and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Laure Favot i

Fields of papers citing papers by Laure Favot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laure Favot

Since Specialization
Citations

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