Gaël Cristofari

4.3k total citations
50 papers, 3.0k citations indexed

About

Gaël Cristofari is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Gaël Cristofari has authored 50 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 22 papers in Plant Science and 9 papers in Physiology. Recurrent topics in Gaël Cristofari's work include Chromosomal and Genetic Variations (21 papers), Advanced biosensing and bioanalysis techniques (16 papers) and CRISPR and Genetic Engineering (13 papers). Gaël Cristofari is often cited by papers focused on Chromosomal and Genetic Variations (21 papers), Advanced biosensing and bioanalysis techniques (16 papers) and CRISPR and Genetic Engineering (13 papers). Gaël Cristofari collaborates with scholars based in France, Switzerland and United States. Gaël Cristofari's co-authors include Joachim Lingner, Sophie Lanciano, Jean‐Luc Darlix, Patrick Reichenbach, Claude Philippe, Tania Sultana, Michael P. Terns, Rebecca M. Terns, Alessia Zamborlini and Pascale Lesage and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gaël Cristofari

48 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaël Cristofari France 25 2.2k 924 663 238 233 50 3.0k
Rebecca M. Terns United States 43 6.6k 3.0× 476 0.5× 1.2k 1.8× 152 0.6× 98 0.4× 64 7.2k
Michael P. Terns United States 49 7.7k 3.5× 517 0.6× 1.2k 1.8× 167 0.7× 114 0.5× 99 8.2k
Carol J. Wilusz United States 34 3.6k 1.6× 266 0.3× 86 0.1× 154 0.6× 329 1.4× 53 4.3k
Javier Martı̂nez Austria 30 4.6k 2.1× 350 0.4× 78 0.1× 184 0.8× 330 1.4× 52 5.4k
Heather Finnerty United States 11 953 0.4× 534 0.6× 244 0.4× 255 1.1× 938 4.0× 11 2.3k
Alessia Zamborlini France 20 806 0.4× 183 0.2× 129 0.2× 86 0.4× 389 1.7× 30 1.7k
Rebecca L. Skalsky United States 22 2.3k 1.0× 231 0.3× 139 0.2× 1.2k 5.0× 701 3.0× 36 3.8k
Nicholas J. Buchkovich United States 16 1.5k 0.7× 106 0.1× 251 0.4× 110 0.5× 293 1.3× 23 2.3k
Martin A.M. Reijns United Kingdom 20 2.3k 1.0× 152 0.2× 75 0.1× 461 1.9× 1.3k 5.6× 27 3.2k
Joseph S. Lipsick United States 29 1.9k 0.8× 371 0.4× 53 0.1× 431 1.8× 477 2.0× 82 2.6k

Countries citing papers authored by Gaël Cristofari

Since Specialization
Citations

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

Fields of papers citing papers by Gaël Cristofari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaël Cristofari

This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Cristofari. A scholar is included among the top collaborators of Gaël Cristofari 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 Gaël Cristofari. Gaël Cristofari 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.
Matsuo, Misaki & Gaël Cristofari. (2025). LINE-1, the NORth star of nucleolar organization. Genes & Development. 39(3-4). 183–185. 1 indexed citations
2.
Wicinski, Julien, Nicolás André, Lounes Djerroudi, et al.. (2024). A novel bioinformatic approach reveals cooperation between Cancer/Testis genes in basal-like breast tumors. Oncogene. 43(18). 1369–1385. 1 indexed citations
3.
Gupta, Nikhil, Laure Ferry, Olivier Kirsh, et al.. (2023). A genome-wide screen reveals new regulators of the 2-cell-like cell state. Nature Structural & Molecular Biology. 30(8). 1105–1118. 3 indexed citations
4.
Gupta, Nikhil, Fumihito Miura, Laure Ferry, et al.. (2023). A genetic screen identifies BEND3 as a regulator of bivalent gene expression and global DNA methylation. Nucleic Acids Research. 51(19). 10292–10308. 8 indexed citations
5.
Morel, Marina, Sophie Lanciano, Fabienne Bejjani, et al.. (2022). TASOR epigenetic repressor cooperates with a CNOT1 RNA degradation pathway to repress HIV. Nature Communications. 13(1). 66–66. 30 indexed citations
6.
Philippe, Claude & Gaël Cristofari. (2022). Genome-Wide Young L1 Methylation Profiling by bs-ATLAS-seq. Methods in molecular biology. 2607. 127–150. 3 indexed citations
7.
Lanciano, Sophie, et al.. (2022). Targeted Nanopore Resequencing and Methylation Analysis of LINE-1 Retrotransposons. Methods in molecular biology. 2607. 173–198. 2 indexed citations
8.
Lowe, Robert, Claude Philippe, Kevin Cheng, et al.. (2021). Locus-specific chromatin profiling of evolutionarily young transposable elements. Nucleic Acids Research. 50(6). e33–e33. 12 indexed citations
9.
Lanciano, Sophie & Gaël Cristofari. (2020). Measuring and interpreting transposable element expression. Nature Reviews Genetics. 21(12). 721–736. 214 indexed citations
10.
Sultana, Tania, Dominic van Essen, Marc Bailly‐Bechet, et al.. (2019). The Landscape of L1 Retrotransposons in the Human Genome Is Shaped by Pre-insertion Sequence Biases and Post-insertion Selection. Molecular Cell. 74(3). 555–570.e7. 100 indexed citations
11.
Goić, Bertsy, Kenneth A. Stapleford, Lionel Frangeul, et al.. (2016). Virus-derived DNA drives mosquito vector tolerance to arboviral infection. Nature Communications. 7(1). 12410–12410. 163 indexed citations
12.
Cristofari, Gaël, et al.. (2016). Post-Transcriptional Control of LINE-1 Retrotransposition by Cellular Host Factors in Somatic Cells. Frontiers in Cell and Developmental Biology. 4. 14–14. 63 indexed citations
13.
Cristofari, Gaël, et al.. (2014). L1 retrotransposition. Mobile Genetic Elements. 4(2). e28907–e28907. 20 indexed citations
14.
Kuciak, Monika, et al.. (2013). The Specificity and Flexibility of L1 Reverse Transcription Priming at Imperfect T-Tracts. PLoS Genetics. 9(5). e1003499–e1003499. 51 indexed citations
15.
Magnani, Elisa, Solomon G. Nergadze, Marco Santagostino, et al.. (2012). The catalytic and the RNA subunits of human telomerase are required to immortalize equid primary fibroblasts. Chromosoma. 121(5). 475–488. 12 indexed citations
16.
Chaurasiya, Kathy R., Hylkje Geertsema, Gaël Cristofari, Jean-Luc Darlix, & Mark C. Williams. (2011). A single zinc finger optimizes the DNA interactions of the nucleocapsid protein of the yeast retrotransposon Ty3. Nucleic Acids Research. 40(2). 751–760. 8 indexed citations
17.
Cristofari, Gaël, Patrick Reichenbach, Katarzyna Sikora, et al.. (2007). Human Telomerase RNA Accumulation in Cajal Bodies Facilitates Telomerase Recruitment to Telomeres and Telomere Elongation. Molecular Cell. 27(6). 882–889. 142 indexed citations
18.
Cristofari, Gaël & Joachim Lingner. (2006). 2 The Telomerase Ribonucleoprotein Particle. Cold Spring Harbor Monograph Archive. 45. 21–47. 1 indexed citations
19.
Cristofari, Gaël & Joachim Lingner. (2003). Fingering the Ends. Cell. 113(5). 552–554. 5 indexed citations
20.
Cristofari, Gaël. (2002). A 5'-3' long-range interaction in Ty1 RNA controls its reverse transcription and retrotransposition. The EMBO Journal. 21(16). 4368–4379. 39 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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