Magali Ruffier

2 papers and 134 indexed citations i.

About

Magali Ruffier is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Magali Ruffier has authored 2 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Materials Chemistry and 1 paper in Artificial Intelligence. Recurrent topics in Magali Ruffier’s work include Genomics and Phylogenetic Studies (2 papers), Gene expression and cancer classification (1 paper) and Algorithms and Data Compression (1 paper). Magali Ruffier is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), Gene expression and cancer classification (1 paper) and Algorithms and Data Compression (1 paper). Magali Ruffier collaborates with scholars based in United Kingdom. Magali Ruffier's co-authors include Alessandro Vullo, Kieron Taylor, Paul Flicek, Andrew Yates, Stephen Keenan, Kathryn Beal, William McLaren, Miguel Pignatelli, Graham R. S. Ritchie and Steve Searle and has published in prestigious journals such as Bioinformatics and Database.

In The Last Decade

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

Fields of papers citing papers by Magali Ruffier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Magali Ruffier

Since Specialization
Citations

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