Gaëtan Benoit

4 papers and 131 indexed citations i.

About

Gaëtan Benoit is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence. According to data from OpenAlex, Gaëtan Benoit has authored 4 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Artificial Intelligence. Recurrent topics in Gaëtan Benoit’s work include Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (1 paper) and Algorithms and Data Compression (1 paper). Gaëtan Benoit is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (1 paper) and Algorithms and Data Compression (1 paper). Gaëtan Benoit collaborates with scholars based in France, United Kingdom and United States. Gaëtan Benoit's co-authors include Claire Lemaitre, Erwan Drézen, Dominique Lavenier, Sophie Schbath, Mahendra Mariadassou, Pierre Peterlongo, Guillaume Rizk, Raluca Uricaru, Adam M. Phillippy and Christopher Quince and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Gaëtan Benoit i

Fields of papers citing papers by Gaëtan Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaëtan Benoit

Since Specialization
Citations

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