Jérôme Déjardin

3.2k total citations · 1 hit paper
36 papers, 2.0k citations indexed

About

Jérôme Déjardin is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Jérôme Déjardin has authored 36 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Plant Science and 7 papers in Physiology. Recurrent topics in Jérôme Déjardin's work include Genomics and Chromatin Dynamics (28 papers), Epigenetics and DNA Methylation (16 papers) and Chromosomal and Genetic Variations (12 papers). Jérôme Déjardin is often cited by papers focused on Genomics and Chromatin Dynamics (28 papers), Epigenetics and DNA Methylation (16 papers) and Chromosomal and Genetic Variations (12 papers). Jérôme Déjardin collaborates with scholars based in France, United States and Netherlands. Jérôme Déjardin's co-authors include Robert E. Kingston, Nehmé Saksouk, Elisabeth Simboeck, Giacomo Cavalli, Gohei Nishibuchi, Charlotte Grimaud, Mathieu Tardat, Michiel Vermeulen, Olivier Cuvier and Axel Imhof and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Jérôme Déjardin

36 papers receiving 2.0k citations

Hit Papers

Constitutive heterochromatin formation and transcription ... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Déjardin France 21 1.8k 408 338 223 90 36 2.0k
David Scalzo United States 16 1.7k 0.9× 301 0.7× 85 0.3× 306 1.4× 73 0.8× 18 1.9k
Danny Rangasamy Australia 19 1.6k 0.9× 464 1.1× 74 0.2× 159 0.7× 125 1.4× 32 1.8k
Jonathan J. Ipsaro United States 16 812 0.5× 279 0.7× 197 0.6× 83 0.4× 153 1.7× 23 1.1k
Beáta E. Jády France 16 1.7k 1.0× 91 0.2× 347 1.0× 71 0.3× 261 2.9× 22 1.9k
Grazia D. Raffa Italy 18 904 0.5× 325 0.8× 312 0.9× 126 0.6× 35 0.4× 27 1.0k
Ragnhild Eskeland Norway 20 2.1k 1.2× 298 0.7× 50 0.1× 260 1.2× 127 1.4× 35 2.3k
Paolo Mita United States 19 1.1k 0.6× 656 1.6× 71 0.2× 109 0.5× 111 1.2× 27 1.3k
Henrik Spåhr Sweden 24 2.2k 1.2× 186 0.5× 74 0.2× 117 0.5× 191 2.1× 33 2.3k
Alejandra Loyola Chile 19 1.8k 1.0× 233 0.6× 38 0.1× 154 0.7× 84 0.9× 32 2.0k
Svetlana Petruk United States 18 1.3k 0.7× 192 0.5× 51 0.2× 174 0.8× 197 2.2× 27 1.6k

Countries citing papers authored by Jérôme Déjardin

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Déjardin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Déjardin

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Déjardin. A scholar is included among the top collaborators of Jérôme Déjardin 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 Jérôme Déjardin. Jérôme Déjardin 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.
Huynh, Tony, Sihem Zitouni, Marie‐Josèphe Giraud‐Panis, et al.. (2025). TELS1 stabilizes t-loops independently of TRF2 and controls telomere length in pluripotent cells. Cell Reports. 44(9). 116260–116260. 2 indexed citations
2.
Dion, Camille, David Hirst, Leslie Caron, et al.. (2023). In skeletal muscle and neural crest cells, SMCHD1 regulates biological pathways relevant for Bosma syndrome and facioscapulohumeral dystrophy phenotype. Nucleic Acids Research. 51(14). 7269–7287. 3 indexed citations
3.
Déjardin, Jérôme, et al.. (2023). The chromatin signatures of enhancers and their dynamic regulation. Nucleus. 14(1). 2160551–2160551. 30 indexed citations
4.
Papadopoulos, Giorgio L., et al.. (2022). SETDB1/NSD-dependent H3K9me3/H3K36me3 dual heterochromatin maintains gene expression profiles by bookmarking poised enhancers. Molecular Cell. 82(4). 816–832.e12. 45 indexed citations
5.
Vermeulen, Michiel & Jérôme Déjardin. (2020). Locus-specific chromatin isolation. Nature Reviews Molecular Cell Biology. 21(5). 249–250. 13 indexed citations
6.
Mierlo, Guido van, et al.. (2020). Purification and enrichment of specific chromatin loci. Nature Methods. 17(4). 380–389. 26 indexed citations
7.
Vermeulen, Michiel & Jérôme Déjardin. (2020). Publisher Correction: Locus-specific chromatin isolation. Nature Reviews Molecular Cell Biology. 21(5). 300–300. 1 indexed citations
8.
Traynor, Sofie, Niels Erik Møllegaard, Mikkel Girke Jørgensen, et al.. (2019). Remodeling and destabilization of chromosome 1 pericentromeric heterochromatin by SSX proteins. Nucleic Acids Research. 47(13). 6668–6684. 17 indexed citations
9.
Mierlo, Guido van, René A. M. Dirks, Laura De Clerck, et al.. (2018). Integrative Proteomic Profiling Reveals PRC2-Dependent Epigenetic Crosstalk Maintains Ground-State Pluripotency. Cell stem cell. 24(1). 123–137.e8. 87 indexed citations
10.
Grimaud, Charlotte, Paulina Prorok, Christelle Cayrou, et al.. (2017). Histone H4K20 tri‐methylation at late‐firing origins ensures timely heterochromatin replication. The EMBO Journal. 36(18). 2726–2741. 51 indexed citations
11.
Saksouk, Nehmé, et al.. (2017). Proteome Characterization of a Chromatin Locus Using the Proteomics of Isolated Chromatin Segments Approach. Methods in molecular biology. 1550. 19–33. 8 indexed citations
12.
Déjardin, Jérôme. (2015). Switching between Epigenetic States at Pericentromeric Heterochromatin. Trends in Genetics. 31(11). 661–672. 31 indexed citations
13.
Marzec, Paulina, Claudia Armenise, Gaëlle Pérot, et al.. (2015). Nuclear-Receptor-Mediated Telomere Insertion Leads to Genome Instability in ALT Cancers. Cell. 160(5). 913–927. 69 indexed citations
14.
Saksouk, Nehmé, Elisabeth Simboeck, & Jérôme Déjardin. (2015). Constitutive heterochromatin formation and transcription in mammals. Epigenetics & Chromatin. 8(1). 3–3. 358 indexed citations breakdown →
15.
Saksouk, Nehmé, Teresa K. Barth, Céline Ziegler-Birling, et al.. (2015). Redundant Mechanisms to Form Silent Chromatin at Pericentromeric Regions Rely on BEND3 and DNA Methylation. Molecular Cell. 57(1). 202–202. 1 indexed citations
16.
Ide, Satoru & Jérôme Déjardin. (2015). End-targeting proteomics of isolated chromatin segments of a mammalian ribosomal RNA gene promoter. Nature Communications. 6(1). 6674–6674. 25 indexed citations
17.
Saksouk, Nehmé, Céline Ziegler-Birling, Nelly Olova, et al.. (2014). Redundant Mechanisms to Form Silent Chromatin at Pericentromeric Regions Rely on BEND3 and DNA Methylation. Molecular Cell. 56(4). 580–594. 156 indexed citations
18.
Mason, James M., et al.. (2012). Protein Landscape atDrosophila melanogasterTelomere-Associated Sequence Repeats. Molecular and Cellular Biology. 32(12). 2170–2182. 27 indexed citations
19.
Déjardin, Jérôme & Giacomo Cavalli. (2005). Dsp1 favorise le recrutement des protéines du groupe Polycomb sur la chromatine. médecine/sciences. 21(8-9). 689–691. 2 indexed citations
20.
Déjardin, Jérôme & Giacomo Cavalli. (2005). Epigenetic Inheritance of Chromatin States Mediated by Polycomb and Trithorax Group Proteins in Drosophila. Progress in molecular and subcellular biology. 38. 31–63. 16 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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