Grégory Kucherov

52 papers and 1.3k indexed citations i.

About

Grégory Kucherov is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Grégory Kucherov has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 32 papers in Artificial Intelligence and 17 papers in Computational Theory and Mathematics. Recurrent topics in Grégory Kucherov’s work include Algorithms and Data Compression (30 papers), Genomics and Phylogenetic Studies (22 papers) and semigroups and automata theory (16 papers). Grégory Kucherov is often cited by papers focused on Algorithms and Data Compression (30 papers), Genomics and Phylogenetic Studies (22 papers) and semigroups and automata theory (16 papers). Grégory Kucherov collaborates with scholars based in France, Russia and Israel. Grégory Kucherov's co-authors include Laurent Noé, Valérie Leclère, Ségolène Caboche, Maude Pupin, Roman Kolpakov, Mikhail Roytberg, Karel Břinda, Philippe Jacques, Maciej Sykulski and Dieter Kratsch and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Nature Methods.

In The Last Decade

Co-authorship network of co-authors of Grégory Kucherov i

Fields of papers citing papers by Grégory Kucherov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Grégory Kucherov

Since Specialization
Citations

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