M Le Meur

7 papers and 423 indexed citations i.

About

M Le Meur is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, M Le Meur has authored 7 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 3 papers in Genetics. Recurrent topics in M Le Meur’s work include Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers) and Animal Genetics and Reproduction (2 papers). M Le Meur is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers) and Animal Genetics and Reproduction (2 papers). M Le Meur collaborates with scholars based in France. M Le Meur's co-authors include Christophe Benoist, A Dorn, Diane Mathis, Béatrice Durand, Pascal Dollé, Pierre Chambon, Bertrand Favier, Diane Mathis, P Gerlinger and Hans Jörg Fehling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

Co-authorship network of co-authors of M Le Meur i

Fields of papers citing papers by M Le Meur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Le Meur. 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 M Le Meur. The network helps show where M Le Meur may publish in the future.

Countries citing papers authored by M Le Meur

Since Specialization
Citations

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