Jean-François Casella

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, Thomas Schwartz, Thomas Boehmer, Romain Gautier, Nathalie de Parseval, Joëlle Bigay and Bruno Mesmin 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean-François Casella France 13 1.4k 640 461 226 107 14 1.7k
Charlotta Funaya Germany 19 1.3k 0.9× 461 0.7× 620 1.3× 153 0.7× 230 2.1× 32 1.9k
Fernando Aniento Spain 25 2.4k 1.7× 1.5k 2.4× 1.2k 2.6× 143 0.6× 290 2.7× 51 3.3k
Elias Coutavas United States 21 2.7k 1.9× 546 0.9× 133 0.3× 288 1.3× 249 2.3× 28 3.3k
Landon L. Moore United States 15 770 0.5× 278 0.4× 316 0.7× 78 0.3× 180 1.7× 23 1.2k
Julien Guizetti Germany 18 1.1k 0.8× 947 1.5× 147 0.3× 111 0.5× 243 2.3× 28 1.8k
Janice Pennington United States 17 573 0.4× 240 0.4× 348 0.8× 45 0.2× 182 1.7× 23 1.2k
Michael Hannus Germany 10 1.2k 0.8× 528 0.8× 77 0.2× 144 0.6× 124 1.2× 12 1.6k
Katherine M. Wan United States 14 1.3k 1.0× 515 0.8× 138 0.3× 210 0.9× 90 0.8× 16 1.8k
Melanie D. Ohi United States 16 1.4k 1.0× 341 0.5× 167 0.4× 104 0.5× 171 1.6× 26 1.8k
Françoise Stutz Switzerland 39 5.3k 3.8× 281 0.4× 369 0.8× 298 1.3× 191 1.8× 70 5.7k

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
1.
Thomen, Philippe, Franck Sureau, Chenge Li, et al.. (2018). The inducible chemical-genetic fluorescent marker FAST outperforms classical fluorescent proteins in the quantitative reporting of bacterial biofilm dynamics. Scientific Reports. 8(1). 10336–10336. 34 indexed citations
2.
Manneville, Jean‐Baptiste, Jean-François Casella, Ernesto E. Ambroggio, et al.. (2009). COPI Coat Assembly Occurs on Liquid Disordered Domains and the Associated Membrane Deformations are Limited by Membrane Tension. Biophysical Journal. 96(3). 549a–550a. 5 indexed citations
3.
Drin, Guillaume, et al.. (2008). Asymmetric Tethering of Flat and Curved Lipid Membranes by a Golgin. Science. 320(5876). 670–673. 153 indexed citations
4.
Manneville, Jean‐Baptiste, Jean-François Casella, Ernesto E. Ambroggio, et al.. (2008). COPI coat assembly occurs on liquid-disordered domains and the associated membrane deformations are limited by membrane tension. Proceedings of the National Academy of Sciences. 105(44). 16946–16951. 85 indexed citations
5.
Drin, Guillaume, Jean-François Casella, Romain Gautier, et al.. (2007). A general amphipathic α-helical motif for sensing membrane curvature. Nature Structural & Molecular Biology. 14(2). 138–146. 474 indexed citations
6.
Bigay, Joëlle, Jean-François Casella, Guillaume Drin, Bruno Mesmin, & Bruno Antonny. (2005). ArfGAP1 responds to membrane curvature through the folding of a lipid packing sensor motif. The EMBO Journal. 24(13). 2244–2253. 297 indexed citations
7.
Antonny, Bruno, Joëlle Bigay, Jean-François Casella, et al.. (2005). Membrane curvature and the control of GTP hydrolysis in Arf1 during COPI vesicle formation. Biochemical Society Transactions. 33(4). 619–622. 26 indexed citations
8.
Parseval, Nathalie de, Vladimir Lazar, Jean-François Casella, Laurence Bénit, & Thiérry Heidmann. (2003). Survey of Human Genes of Retroviral Origin: Identification and Transcriptome of the Genes with Coding Capacity for Complete Envelope Proteins. Journal of Virology. 77(19). 10414–10422. 184 indexed citations
9.
Tchénio, Thierry, Jean-François Casella, & Thiérry Heidmann. (2001). A Truncated Form of the Human CAF-1 p150 Subunit Impairs the Maintenance of Transcriptional Gene Silencing in Mammalian Cells. Molecular and Cellular Biology. 21(6). 1953–1961. 42 indexed citations
10.
Parseval, Nathalie de, Jean-François Casella, Laëtitia Gressin, & Thiérry Heidmann. (2001). Characterization of the Three HERV-H Proviruses with an Open Envelope Reading Frame Encompassing the Immunosuppressive Domain and Evolutionary History in Primates. Virology. 279(2). 558–569. 62 indexed citations
11.
Bénit, Laurence, et al.. (1999). ERV-L Elements: a Family of Endogenous Retrovirus-Like Elements Active throughout the Evolution of Mammals. Journal of Virology. 73(4). 3301–3308. 120 indexed citations
12.
Cavarec, Laurent, et al.. (1997). Molecular Cloning and Characterization of a Transcription Factor for the copia Retrotransposon with Homology to the BTB-Containing Lola Neurogenic Factor. Molecular and Cellular Biology. 17(1). 482–494. 33 indexed citations
13.
Bénit, Laurence, Nathalie de Parseval, Jean-François Casella, et al.. (1997). Cloning of a new murine endogenous retrovirus, MuERV-L, with strong similarity to the human HERV-L element and with a gag coding sequence closely related to the Fv1 restriction gene. Journal of Virology. 71(7). 5652–5657. 129 indexed citations
14.
Cordonnier, Agnès, Jean-François Casella, & Thiérry Heidmann. (1995). Isolation of novel human endogenous retrovirus-like elements with foamy virus-related pol sequence. Journal of Virology. 69(9). 5890–5897. 80 indexed citations

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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