Yan Chérel

53 papers and 2.7k indexed citations i.

About

Yan Chérel is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Yan Chérel has authored 53 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 27 papers in Genetics and 10 papers in Epidemiology. Recurrent topics in Yan Chérel’s work include Virus-based gene therapy research (27 papers), Muscle Physiology and Disorders (10 papers) and RNA Interference and Gene Delivery (8 papers). Yan Chérel is often cited by papers focused on Virus-based gene therapy research (27 papers), Muscle Physiology and Disorders (10 papers) and RNA Interference and Gene Delivery (8 papers). Yan Chérel collaborates with scholars based in France, United States and Morocco. Yan Chérel's co-authors include Philippe Moullier, Fabienne Rolling, Lydie Guigand, Thibaut Larcher, Nathalie Provost, Anna Salvetti, David Favre, Pierre Chenuaud, Laurence Dubreil and Caroline Le Guiner and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Yan Chérel i

Fields of papers citing papers by Yan Chérel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yan Chérel

Since Specialization
Citations

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