Expression Génétique Microbienne

About

In recent decades, authors affiliated with Expression Génétique Microbienne have published 537 papers, which have received a total of 26.6k indexed citations. Scholars at this organization have produced 328 papers in Molecular Biology, 165 papers in Genetics and 73 papers in Ecology on the topics of RNA and protein synthesis mechanisms (116 papers), Bacterial Genetics and Biotechnology (96 papers) and Bacteriophages and microbial interactions (58 papers). Their work is cited by papers focused on Molecular Biology (16.1k citations), Genetics (5.7k citations) and Epidemiology (4.2k citations). Authors at Expression Génétique Microbienne collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including Nature, Cell and Proceedings of the National Academy of Sciences. Some of Expression Génétique Microbienne's most productive authors include Pierre Tiollais, Antoine Danchin, Simon T. Whiteside, Christine Pourcel, Gilles Vergnaud, Batiste Boëda, Grégory Salvignol, Philippe Glaser, Dimitri Karamata and Frank Grosveld.

In The Last Decade

Expression Génétique Microbienne

512 papers receiving 26.4k citations

Fields of papers published by authors at Expression Génétique Microbienne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Expression Génétique Microbienne at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Expression Génétique Microbienne at the time of their publication.

Countries citing scholars working at Expression Génétique Microbienne

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Expression Génétique Microbienne. 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 papers produced at Expression Génétique Microbienne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Expression Génétique Microbienne 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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2026