Jean-François Casella

17 total papers · 2.1k total citations
14 papers, 1.7k citations indexed

About

Jean-François Casella is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Jean-François Casella has authored 14 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Plant Science. Recurrent topics in Jean-François Casella's work include Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (6 papers) and Chromosomal and Genetic Variations (5 papers). Jean-François Casella is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (6 papers) and Chromosomal and Genetic Variations (5 papers). Jean-François Casella collaborates with scholars based in France and United States. Jean-François Casella's co-authors include Bruno Antonny, Guillaume Drin, Thiérry Heidmann, Laurence Bénit, Romain Gautier, Thomas Schwartz, Thomas Boehmer, Nathalie de Parseval, Bruno Mesmin and Joëlle Bigay and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Jean-François Casella

14 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean-François Casella 1.4k 639 461 226 107 14 1.7k
Charlotta Funaya 1.3k 1.0× 459 0.7× 615 1.3× 151 0.7× 226 2.1× 34 2.0k
Christopher A. Jones 1.2k 0.9× 345 0.5× 237 0.5× 193 0.9× 59 0.6× 16 1.9k
Ali Sarkeshik 1.4k 1.0× 503 0.8× 513 1.1× 99 0.4× 94 0.9× 29 2.0k
Jonathan G. Izant 1.5k 1.0× 562 0.9× 146 0.3× 278 1.2× 67 0.6× 29 1.9k
Michael A. Brasch 1.6k 1.1× 292 0.5× 201 0.4× 393 1.7× 57 0.5× 21 2.0k
Masako Hasebe 1.4k 1.0× 169 0.3× 413 0.9× 168 0.7× 126 1.2× 15 1.8k
Laura van Weeren 1.4k 1.0× 336 0.5× 142 0.3× 147 0.7× 71 0.7× 13 1.9k
Dean R. Hewish 1.4k 1.0× 262 0.4× 131 0.3× 215 1.0× 50 0.5× 24 1.7k
Hans‐Richard Rackwitz 1.1k 0.8× 280 0.4× 183 0.4× 256 1.1× 111 1.0× 25 1.7k
Valerie E. Pye 1.4k 1.0× 599 0.9× 145 0.3× 150 0.7× 321 3.0× 40 1.9k

Countries citing papers authored by Jean-François Casella

Since Specialization
Citations

This map shows the geographic impact of Jean-François Casella'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 Jean-François Casella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-François Casella more than expected).

Fields of papers citing papers by Jean-François Casella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-François Casella. 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 Jean-François Casella. The network helps show where Jean-François Casella may publish in the future.

Co-authorship network of co-authors of Jean-François Casella

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-François Casella. A scholar is included among the top collaborators of Jean-François Casella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean-François Casella. Jean-François Casella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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