Jean-François Casella

2.1k citations
14 papers · 1.7k indexed · h-index 13
Topics
Lipid Membrane Structure and Behavior (6 papers)Cellular transport and secretion (6 papers)Chromosomal and Genetic Variations (5 papers)
Partner nations
FranceUnited States

In The Last Decade

Jean-François Casella

14 papers receiving 1.7k citations

Peers

Jean-François Casella
Comparison fields: 5 of 88
  • Molecular Biology 1.4k
  • Cell Biology 640
  • Plant Science 461
  • Genetics 226
  • Epidemiology 107
Replace Fernando Aniento with:
Fernando Aniento Spain
Charlotta Funaya Germany
Duncan W. Wilson United States
Julien Guizetti Germany
Chavela M. Carr United States
Nicholas J. Buchkovich United States
Lynda M. Pierini United States
Gregory H. Leno United States
Isabelle Blanc France
Janice Pennington United States
Jean-François Casella relative to Fernando Aniento Spain Fernando Aniento's profile →
Citations per field
00.5×1.6×
Fernando Aniento · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 34
2 5
3 153
4 85
5 474
6 297
7 26
8 184
9 42
10 62
11 120
12 33
13 129
14 80

About Jean-François Casella

Jean-François Casella is a scholar working on Cell Biology, Molecular Biology and Plant Science, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (6 papers) and Chromosomal and Genetic Variations (5 papers). The work is most often cited by research in Cell Biology (640 citations), Molecular Biology (1.4k citations) and Virology (93 citations). Jean-François Casella has collaborated with scholars based in France and United States. Frequent co-authors include Bruno Antonny, Guillaume Drin, Thiérry Heidmann, Laurence Bénit, Thomas Schwartz, Romain Gautier, Thomas Boehmer, Nathalie de Parseval, Joëlle Bigay and Bruno Mesmin. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The EMBO Journal.

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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