C. Peter Verrijzer

8.7k total citations
73 papers, 7.1k citations indexed

About

C. Peter Verrijzer is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, C. Peter Verrijzer has authored 73 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 15 papers in Genetics and 10 papers in Plant Science. Recurrent topics in C. Peter Verrijzer's work include Genomics and Chromatin Dynamics (39 papers), Epigenetics and DNA Methylation (21 papers) and Chromatin Remodeling and Cancer (16 papers). C. Peter Verrijzer is often cited by papers focused on Genomics and Chromatin Dynamics (39 papers), Epigenetics and DNA Methylation (21 papers) and Chromatin Remodeling and Cancer (16 papers). C. Peter Verrijzer collaborates with scholars based in Netherlands, United States and United Kingdom. C. Peter Verrijzer's co-authors include Peter C. van der Vliet, Robert Tjian, Kyoko Yokomori, Arnoud J. Kal, Tokameh Mahmoudi, Yuri M. Moshkin, Jan A. van der Knaap, Adone Mohd-Sarip, Gillian E. Chalkley and Jeroen Krijgsveld and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

C. Peter Verrijzer

72 papers receiving 7.0k citations

Peers

C. Peter Verrijzer

GENET

IMMUN

ONCOL

Ellen A. Garber United States

Robin Reed United States

Klaus Bister Austria

H. T. Marc Timmers Netherlands

David L. Bentley United States

Juan Valcárcel Spain

Sharleen Zhou United States

François Rougeon France

Michael J. Matunis United States

Stéfan Dimitrov France

Ellen A. Garber United States

C. Peter Verrijzer

3.9k ×0.6

1.3k ×1.1

GENET

841 ×1.3

IMMUN

264 ×0.5

734 ×1.7

ONCOL

Citations per year, relative to C. Peter Verrijzer C. Peter Verrijzer (= 1×) peers Ellen A. Garber

Countries citing papers authored by C. Peter Verrijzer

Since Specialization

Citations

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

Fields of papers citing papers by C. Peter Verrijzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Peter Verrijzer. 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 C. Peter Verrijzer. The network helps show where C. Peter Verrijzer may publish in the future.

Co-authorship network of co-authors of C. Peter Verrijzer

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

All Works

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20 of 20 papers shown

Embregts, Carmen W.E., Thierry van den Bosch, Rosalie Joosten, et al.. (2025). The nucleosome remodeling and deacetylase-SWItch/sucrose non-fermentable antagonism regulates the coordinated activation of epithelial-to-mesenchymal transition and inflammation in oral cancer. JNCI Journal of the National Cancer Institute. 117(7). 1438–1455.

Knaap, Jan A. van der, Gillian E. Chalkley, Elena N. Kozhevnikova, et al.. (2025). Hao-Fountain syndrome protein USP7 controls neuronal differentiation via BCOR–ncPRC1.1. Genes & Development. 39(5-6). 401–422. 1 indexed citations

Bosch, Thierry van den, Alex L. Nigg, Meng Chen, et al.. (2023). The deleted in oral cancer (DOC1 aka CDK2AP1) tumor suppressor gene is downregulated in oral squamous cell carcinoma by multiple microRNAs. Cell Death and Disease. 14(5). 337–337. 8 indexed citations

Seidl, Michael, et al.. (2023). Uncoupled evolution of the Polycomb system and deep origin of non-canonical PRC1. Communications Biology. 6(1). 1144–1144. 11 indexed citations

Verrijzer, C. Peter. (2022). Goldilocks meets Polycomb. Genes & Development. 36(19-20). 1043–1045. 4 indexed citations

Tilly, Ben C., Gillian E. Chalkley, Jan A. van der Knaap, et al.. (2021). In vivo analysis reveals that ATP-hydrolysis couples remodeling to SWI/SNF release from chromatin. eLife. 10. 17 indexed citations

Moshkin, Yuri M., Cécile M. Doyen, Tsung Wai Kan, et al.. (2013). Histone Chaperone NAP1 Mediates Sister Chromatid Resolution by Counteracting Protein Phosphatase 2A. PLoS Genetics. 9(9). e1003719–e1003719. 17 indexed citations

Mohd-Sarip, Adone, Anna Lagarou, Cécile M. Doyen, et al.. (2012). Transcription-Independent Function of Polycomb Group Protein PSC in Cell Cycle Control. Science. 336(6082). 744–747. 27 indexed citations

Goodfellow, Henry, Alena Krejčı́, Yuri M. Moshkin, et al.. (2007). Gene-Specific Targeting of the Histone Chaperone Asf1 to Mediate Silencing. Developmental Cell. 13(4). 593–600. 44 indexed citations

10.

Mohd-Sarip, Adone, Fabienne Cléard, Rakesh K. Mishra, François Karch, & C. Peter Verrijzer. (2005). Synergistic recognition of an epigenetic DNA element by Pleiohomeotic and a Polycomb core complex. Genes & Development. 19(15). 1755–1760. 77 indexed citations

11.

Verrijzer, C. Peter, et al.. (2004). Composition and functional specificity of SWI2/SNF2 class chromatin remodeling complexes. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1681(2-3). 59–73. 262 indexed citations

12.

Krijgsveld, Jeroen, René F. Ketting, Tokameh Mahmoudi, et al.. (2003). Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics. Nature Biotechnology. 21(8). 927–931. 323 indexed citations

13.

Katsani, Katerina R., Tokameh Mahmoudi, & C. Peter Verrijzer. (2003). Selective Gene Regulation by SWI/SNF-Related Chromatin Remodeling Factors. Current topics in microbiology and immunology. 274. 113–141. 27 indexed citations

14.

Mahmoudi, Tokameh & C. Peter Verrijzer. (2001). Chromatin silencing and activation by Polycomb and trithorax group proteins. Oncogene. 20(24). 3055–3066. 110 indexed citations

15.

Newman, Richard, Louise Jones, Silvana Debernardi, et al.. (2000). Biochemical analyses of the AF10 protein: the extended LAP/PHD-finger mediates oligomerisation. Journal of Molecular Biology. 299(2). 369–378. 62 indexed citations

16.

Crosby, Madeline A., Chaya Miller, Tamir Alon, et al.. (1999). The trithorax Group Gene moira Encodes a Brahma-Associated Putative Chromatin-Remodeling Factor in Drosophila melanogaster. Molecular and Cellular Biology. 19(2). 1159–1170. 109 indexed citations

17.

Jiménez, Gerardo, C. Peter Verrijzer, & David Ish‐Horowicz. (1999). A Conserved Motif in Goosecoid Mediates Groucho-Dependent Repression in Drosophila Embryos. Molecular and Cellular Biology. 19(3). 2080–2087. 58 indexed citations

18.

Preiß, Thomas, Emily P. Slater, Xinan Cao, et al.. (1994). Two independent pathways for transcription from the MMTV promoter. The Journal of Steroid Biochemistry and Molecular Biology. 51(1-2). 21–32. 23 indexed citations

19.

Verrijzer, C. Peter, et al.. (1992). POU domain transcription factors from different subclasses stimulate adenovirus DNA replication. Nucleic Acids Research. 20(23). 6369–6375. 21 indexed citations

20.

Katan, Matilda, et al.. (1990). Characterization of a cellular factor which interacts functionally with Oct-1 in the assembly of a multicomponent transcription complex. Nucleic Acids Research. 18(23). 6871–6880. 97 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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