Florence Cammas

2.4k total citations
35 papers, 1.9k citations indexed

About

Florence Cammas is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Florence Cammas has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Genetics. Recurrent topics in Florence Cammas's work include Genomics and Chromatin Dynamics (10 papers), RNA Research and Splicing (6 papers) and interferon and immune responses (5 papers). Florence Cammas is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), RNA Research and Splicing (6 papers) and interferon and immune responses (5 papers). Florence Cammas collaborates with scholars based in France, United Kingdom and United States. Florence Cammas's co-authors include Régine Losson, Thierry Lerouge, Pierre Chambon, Manuel Mark, Manuel Mark, Pierre Chambon, Pascal Dollé, Andrée Dierich, Konstantin Khetchoumian and Benjamin Herquel and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Florence Cammas

34 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florence Cammas France 23 1.4k 535 337 204 196 35 1.9k
T. Heinemeyer Germany 4 1.1k 0.8× 344 0.6× 308 0.9× 83 0.4× 216 1.1× 4 1.7k
Peter Emtage Canada 16 882 0.7× 548 1.0× 530 1.6× 123 0.6× 578 2.9× 23 1.8k
Michèle Sawadogo United States 22 1.5k 1.1× 237 0.4× 427 1.3× 80 0.4× 197 1.0× 31 2.7k
Catherine Ucla Switzerland 22 1.7k 1.3× 382 0.7× 644 1.9× 276 1.4× 125 0.6× 26 2.5k
Hua-Ying Fan United States 23 2.4k 1.8× 172 0.3× 340 1.0× 244 1.2× 253 1.3× 34 2.6k
Marek Bartkuhn Germany 28 2.5k 1.8× 244 0.5× 515 1.5× 551 2.7× 234 1.2× 65 3.0k
Sumio Sugano Japan 15 1.3k 1.0× 193 0.4× 300 0.9× 133 0.7× 135 0.7× 25 1.7k
J. Michael Bishop United States 13 1.1k 0.8× 257 0.5× 393 1.2× 215 1.1× 294 1.5× 15 1.7k
Yoshihiro Jinno Japan 26 1.6k 1.1× 517 1.0× 921 2.7× 296 1.5× 150 0.8× 76 2.4k
Masao Nagata Japan 26 1.3k 1.0× 527 1.0× 924 2.7× 90 0.4× 195 1.0× 106 2.7k

Countries citing papers authored by Florence Cammas

Since Specialization
Citations

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

Fields of papers citing papers by Florence Cammas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Cammas

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Cammas. A scholar is included among the top collaborators of Florence Cammas 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 Florence Cammas. Florence Cammas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lewandowska, Dominika, Fernando Muzzopappa, Stephanie Hutin, et al.. (2025). HP1 loses its chromatin clustering and phase separation function across evolution. Nature Communications. 16(1). 6375–6375. 3 indexed citations
2.
Saksouk, Nehmé, Marine Pratlong, Célia Barrachina, et al.. (2020). The mouse HP1 proteins are essential for preventing liver tumorigenesis. Oncogene. 39(13). 2676–2691. 16 indexed citations
3.
Lavery, Rowena, Nicolás Bellora, Gayle K. Philip, et al.. (2017). In mammalian foetal testes, SOX9 regulates expression of its target genes by binding to genomic regions with conserved signatures. Nucleic Acids Research. 45(12). 7191–7211. 78 indexed citations
4.
Fasching, Liana, Adamandia Kapopoulou, Rohit Sachdeva, et al.. (2014). TRIM28 Represses Transcription of Endogenous Retroviruses in Neural Progenitor Cells. Cell Reports. 10(1). 20–28. 107 indexed citations
5.
Rachez, Christophe, Benoît Marteyn, Françoise Donnadieu, et al.. (2014). Shigella flexneri targets the HP 1γ subcode through the phosphothreonine lyase O sp F. The EMBO Journal. 33(22). 2606–2622. 37 indexed citations
6.
Herquel, Benjamin, Igor Martianov, Stéphanie Le Gras, et al.. (2013). Trim24-repressed VL30 retrotransposons regulate gene expression by producing noncoding RNA. Nature Structural & Molecular Biology. 20(3). 339–346. 58 indexed citations
7.
Allan, Rhys S., Elina Zueva, Florence Cammas, et al.. (2012). An epigenetic silencing pathway controlling T helper 2 cell lineage commitment. Nature. 487(7406). 249–253. 179 indexed citations
8.
Cammas, Florence, Konstantin Khetchoumian, Pierre Chambon, & Régine Losson. (2012). TRIM Involvement in Transcriptional Regulation. Advances in experimental medicine and biology. 770. 59–76. 20 indexed citations
9.
Jakobsson, Johan, María I. Cordero, Reto Bisaz, et al.. (2008). KAP1-Mediated Epigenetic Repression in the Forebrain Modulates Behavioral Vulnerability to Stress. Neuron. 60(5). 818–831. 105 indexed citations
10.
11.
Khetchoumian, Konstantin, Marius Teletin, Manuel Mark, et al.. (2007). Loss of Trim24 (Tif1α) gene function confers oncogenic activity to retinoic acid receptor alpha. Nature Genetics. 39(12). 1500–1506. 128 indexed citations
12.
Cammas, Florence, Àgnes Jànoshàzi, Thierry Lerouge, & Régine Losson. (2007). Dynamic and selective interactions of the transcriptional corepressor TIF1β with the heterochromatin protein HP1 isotypes during cell differentiation. Differentiation. 75(7). 627–637. 30 indexed citations
13.
Cammas, Florence, Mariëlle Herzog, Thierry Lerouge, Pierre Chambon, & Régine Losson. (2004). Association of the transcriptional corepressor TIF1β with heterochromatin protein 1 (HP1): an essential role for progression through differentiation. Genes & Development. 18(17). 2147–2160. 88 indexed citations
14.
Cammas, Florence, Manuel Mark, Pascal Dollé, et al.. (2000). Mice lacking the transcriptional corepressor TIF1β are defective in early postimplantation development. Development. 127(13). 2955–2963. 172 indexed citations
15.
Cammas, Florence, Jean‐Marie Garnier, Pierre Chambon, & Régine Losson. (2000). Correlation of the exon/intron organization to the conserved domains of the mouse transcriptional corepressor TIF1β. Gene. 253(2). 231–235. 5 indexed citations
16.
Clark, A. J. L., et al.. (1997). Familial glucocorticoid deficiency: one syndrome, but more than one gene. Journal of Molecular Medicine. 75(6). 394–399. 11 indexed citations
17.
Cammas, Florence & Adrian Clark. (1996). S1 Nuclease Protection Assay Using Streptavidin Dynabeads-Purified Single-Stranded DNA. Analytical Biochemistry. 236(1). 182–184. 6 indexed citations
18.
Cammas, Florence, et al.. (1996). The ACTH receptor. Baillière s Clinical Endocrinology and Metabolism. 10(1). 29–47. 22 indexed citations
19.
Cammas, Florence, S. Kapas, Stewart Barker, & A. J. L. Clark. (1995). Cloning, Characterization and Expression of a Functional Mouse ACTH Receptor. Biochemical and Biophysical Research Communications. 212(3). 912–918. 30 indexed citations
20.
Henríquez, Rubén, et al.. (1994). Purification of FKBP‐70, a novel immunophilin from Saccharomyces cerevisiae, and cloning of its structural gene, FPR3. FEBS Letters. 352(1). 98–103. 23 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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