Capucine Van Rechem

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

About

Capucine Van Rechem is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Capucine Van Rechem has authored 30 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Capucine Van Rechem's work include Epigenetics and DNA Methylation (20 papers), Genomics and Chromatin Dynamics (10 papers) and Cancer-related gene regulation (6 papers). Capucine Van Rechem is often cited by papers focused on Epigenetics and DNA Methylation (20 papers), Genomics and Chromatin Dynamics (10 papers) and Cancer-related gene regulation (6 papers). Capucine Van Rechem collaborates with scholars based in United States, France and Germany. Capucine Van Rechem's co-authors include Johnathan R. Whetstine, Joshua C. Black, Dominique Leprince, Gaylor Boulay, Sébastien Pinte, Nicholas J. Dyson, Cateline Guérardel, Andrew M. Allen, Claire A. Rinehart and Brendon Ladd and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Capucine Van Rechem

29 papers receiving 2.0k citations

Hit Papers

Histone Lysine Methylation Dynamics: Establishment, Regul... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Capucine Van Rechem United States 19 1.8k 308 217 177 158 30 2.0k
Marijke Baltissen Netherlands 18 2.0k 1.1× 368 1.2× 136 0.6× 131 0.7× 221 1.4× 34 2.3k
Meritxell Alberich-Jordà Czechia 25 1.3k 0.7× 486 1.6× 173 0.8× 258 1.5× 96 0.6× 60 2.0k
Yuzuru Shiio United States 21 1.5k 0.8× 292 0.9× 364 1.7× 154 0.9× 161 1.0× 34 1.9k
Xiaohan Yang China 16 1.9k 1.1× 380 1.2× 405 1.9× 100 0.6× 215 1.4× 24 2.1k
Fides D. Lay United States 16 1.8k 1.0× 374 1.2× 122 0.6× 111 0.6× 306 1.9× 20 2.1k
Marta Kulis Spain 13 1.5k 0.9× 480 1.6× 190 0.9× 175 1.0× 251 1.6× 29 1.9k
Fabrizio Loreni Italy 30 1.7k 1.0× 192 0.6× 248 1.1× 119 0.7× 157 1.0× 58 2.0k
Kelly M. McGarvey United States 13 2.1k 1.2× 334 1.1× 256 1.2× 77 0.4× 291 1.8× 15 2.5k
Helai P. Mohammad United States 23 2.2k 1.2× 354 1.1× 370 1.7× 150 0.8× 268 1.7× 37 2.5k
Eric M. Kallin United States 13 2.0k 1.2× 349 1.1× 123 0.6× 177 1.0× 279 1.8× 16 2.4k

Countries citing papers authored by Capucine Van Rechem

Since Specialization
Citations

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

Fields of papers citing papers by Capucine Van Rechem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Capucine Van Rechem. 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 Capucine Van Rechem. The network helps show where Capucine Van Rechem may publish in the future.

Co-authorship network of co-authors of Capucine Van Rechem

This figure shows the co-authorship network connecting the top 25 collaborators of Capucine Van Rechem. A scholar is included among the top collaborators of Capucine Van Rechem 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 Capucine Van Rechem. Capucine Van Rechem 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.
Lu, Yingzhou, et al.. (2024). Uncertainty Quantification and Interpretability for Clinical Trial Approval Prediction. SHILAP Revista de lepidopterología. 4. 126–126. 9 indexed citations
2.
Lu, Yingzhou, et al.. (2024). Absence of SMARCB1 in rhabdoid tumor cells increases sensitivity to translation inhibition and alters translation efficiency of specific mRNAs. Journal of Biological Chemistry. 300(12). 107988–107988. 1 indexed citations
3.
Kaiser, Alyssa M., Alberto Gatto, Nitin Raj, et al.. (2023). p53 governs an AT1 differentiation programme in lung cancer suppression. Nature. 619(7971). 851–859. 45 indexed citations
4.
Kimmey, Samuel C., Christopher M. Weber, Aihui Wang, et al.. (2022). The Interaction of SWI/SNF with the Ribosome Regulates Translation and Confers Sensitivity to Translation Pathway Inhibitors in Cancers with Complex Perturbations. Cancer Research. 82(16). 2829–2837. 4 indexed citations
5.
Zhao, Meng, Niels Banhos Danneskiold‐Samsøe, David E. Lee, et al.. (2022). Phosphoproteomic mapping reveals distinct signaling actions and activation of muscle protein synthesis by Isthmin-1. eLife. 11. 5 indexed citations
6.
Nakatani, Tsunetoshi, Jiangwei Lin, Fei Ji, et al.. (2022). DNA replication fork speed underlies cell fate changes and promotes reprogramming. Nature Genetics. 54(3). 318–327. 54 indexed citations
7.
Whetstine, Johnathan R. & Capucine Van Rechem. (2022). A cell-sorting-based protocol for cell cycle small-scale ChIP sequencing. STAR Protocols. 3(2). 101243–101243. 5 indexed citations
8.
Ji, Fei, Capucine Van Rechem, Johnathan R. Whetstine, & Ruslan I. Sadreyev. (2022). Computational workflow for integrative analyses of DNA replication timing, epigenomic, and transcriptomic data. STAR Protocols. 3(4). 101827–101827. 1 indexed citations
9.
Whetstine, Johnathan R. & Capucine Van Rechem. (2022). Protocol to isolate cells in four stages of S phase for high-resolution replication-timing sequencing. STAR Protocols. 3(1). 101209–101209.
10.
Siddiqui, Jalal, Brandon Nicolay, Chenyu Lin, et al.. (2021). Integrated multi-omics analysis of RB-loss identifies widespread cellular programming and synthetic weaknesses. Communications Biology. 4(1). 977–977. 2 indexed citations
11.
Clarke, Thomas L., Ran Tang, Damayanti Chakraborty, et al.. (2019). Histone Lysine Methylation Dynamics Control EGFR DNA Copy-Number Amplification. Cancer Discovery. 10(2). 306–325. 39 indexed citations
12.
Rechem, Capucine Van, Sangita Pal, Thomas L. Clarke, et al.. (2018). Cross-talk between Lysine-Modifying Enzymes Controls Site-Specific DNA Amplifications. Cell. 174(4). 803–817.e16. 37 indexed citations
13.
Rechem, Capucine Van, Joshua C. Black, Myriam Boukhali, et al.. (2015). Lysine Demethylase KDM4A Associates with Translation Machinery and Regulates Protein Synthesis. Cancer Discovery. 5(3). 255–263. 51 indexed citations
14.
Rechem, Capucine Van, Joshua C. Black, Patricia Greninger, et al.. (2015). A Coding Single-Nucleotide Polymorphism in Lysine Demethylase KDM4A Associates with Increased Sensitivity to mTOR Inhibitors. Cancer Discovery. 5(3). 245–254. 22 indexed citations
15.
Black, Joshua C., Capucine Van Rechem, & Johnathan R. Whetstine. (2012). Histone Lysine Methylation Dynamics: Establishment, Regulation, and Biological Impact. Molecular Cell. 48(4). 491–507. 946 indexed citations breakdown →
16.
Dehennaut, Vanessa, et al.. (2012). Identification of p21 (CIP1/WAF1) as a direct target gene of HIC1 (Hypermethylated In Cancer 1). Biochemical and Biophysical Research Communications. 430(1). 49–53. 17 indexed citations
17.
Boulay, Gaylor, Nicolas Malaquin, Bénédicte Foveau, et al.. (2011). Loss of Hypermethylated in Cancer 1 (HIC1) in Breast Cancer Cells Contributes to Stress-induced Migration and Invasion through β-2 Adrenergic Receptor (ADRB2) Misregulation. Journal of Biological Chemistry. 287(8). 5379–5389. 29 indexed citations
18.
Rechem, Capucine Van, Joshua C. Black, Tarek Abbas, et al.. (2011). The SKP1-Cul1-F-box and Leucine-rich Repeat Protein 4 (SCF-FbxL4) Ubiquitin Ligase Regulates Lysine Demethylase 4A (KDM4A)/Jumonji Domain-containing 2A (JMJD2A) Protein. Journal of Biological Chemistry. 286(35). 30462–30470. 55 indexed citations
19.
Foveau, Bénédicte, Gaylor Boulay, Sébastien Pinte, et al.. (2011). The Receptor Tyrosine Kinase EphA2 Is a Direct Target Gene of Hypermethylated in Cancer 1 (HIC1). Journal of Biological Chemistry. 287(8). 5366–5378. 28 indexed citations
20.
Rechem, Capucine Van, Brian R. Rood, Sébastien Pinte, et al.. (2009). Scavenger Chemokine (CXC Motif) Receptor 7 (CXCR7) Is a Direct Target Gene of HIC1 (Hypermethylated in Cancer 1). Journal of Biological Chemistry. 284(31). 20927–20935. 66 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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