Nick Dyson

1.6k total citations
8 papers, 1.0k citations indexed

About

Nick Dyson is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Nick Dyson has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Nick Dyson's work include Epigenetics and DNA Methylation (3 papers), Cancer-related Molecular Pathways (3 papers) and Genomics and Chromatin Dynamics (3 papers). Nick Dyson is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer-related Molecular Pathways (3 papers) and Genomics and Chromatin Dynamics (3 papers). Nick Dyson collaborates with scholars based in United States, Germany and Japan. Nick Dyson's co-authors include Frederick A. Dick, Marc Vidal, Philippe Vaglio, Jérôme Reboul, Simon J. Boulton, Anton Gartner, David E. Hill, Michael Korenjak, John S. Satterlee and Ulrich K. Binné and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nick Dyson

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Dyson United States 8 876 268 139 126 104 8 1.0k
Andrea J. Hartlerode United States 8 960 1.1× 317 1.2× 101 0.7× 77 0.6× 56 0.5× 11 1.3k
Yutaka Kanoh Japan 18 1.6k 1.9× 204 0.8× 76 0.5× 162 1.3× 339 3.3× 26 1.7k
Arkaitz Ibarra United States 11 1.0k 1.2× 127 0.5× 46 0.3× 87 0.7× 155 1.5× 13 1.2k
Т. В. Поспелова Russia 14 724 0.8× 215 0.8× 117 0.8× 55 0.4× 97 0.9× 46 1.1k
Mahesh Ramamoorthy United States 16 761 0.9× 236 0.9× 32 0.2× 87 0.7× 51 0.5× 23 916
Holger Richly Germany 16 1.4k 1.6× 172 0.6× 82 0.6× 121 1.0× 596 5.7× 25 1.7k
Alfred May United States 22 1.5k 1.7× 280 1.0× 122 0.9× 132 1.0× 86 0.8× 33 1.7k
Joe R. Delaney United States 15 605 0.7× 121 0.5× 173 1.2× 36 0.3× 180 1.7× 33 862
Joel D. Nelson United States 8 851 1.0× 121 0.5× 35 0.3× 94 0.7× 47 0.5× 9 1.1k
Caroline Schild‐Poulter Canada 23 1.1k 1.2× 292 1.1× 22 0.2× 161 1.3× 138 1.3× 43 1.3k

Countries citing papers authored by Nick Dyson

Since Specialization
Citations

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

Fields of papers citing papers by Nick Dyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Dyson

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

All Works

8 of 8 papers shown
1.
Tajima, Ken, Satoru Matsuda, Toshifumi Yae, et al.. (2019). SETD1A protects from senescence through regulation of the mitotic gene expression program. Nature Communications. 10(1). 2854–2854. 39 indexed citations
2.
Wu, Xiaodong, Erick J. Morris, Pradeep S. Tanwar, et al.. (2008). The Drosophila homolog of human tumor suppressor TSC-22 promotes cellular growth, proliferation, and survival. Proceedings of the National Academy of Sciences. 105(14). 5414–5419. 20 indexed citations
3.
Dodge, Jonathan, Masaki Okano, Frederick A. Dick, et al.. (2005). Inactivation of Dnmt3b in Mouse Embryonic Fibroblasts Results in DNA Hypomethylation, Chromosomal Instability, and Spontaneous Immortalization. Journal of Biological Chemistry. 280(18). 17986–17991. 205 indexed citations
4.
Korenjak, Michael, Barbie Taylor‐Harding, Ulrich K. Binné, et al.. (2004). Native E2F/RBF Complexes Contain Myb-Interacting Proteins and Repress Transcription of Developmentally Controlled E2F Target Genes. Cell. 119(2). 181–193. 242 indexed citations
5.
Dick, Frederick A. & Nick Dyson. (2003). pRB Contains an E2F1-Specific Binding Domain that Allows E2F1-Induced Apoptosis to Be Regulated Separately from Other E2F Activities. Molecular Cell. 12(3). 639–649. 105 indexed citations
6.
Boulton, Simon J., Anton Gartner, Jérôme Reboul, et al.. (2002). Combined Functional Genomic Maps of the C. elegans DNA Damage Response. Science. 295(5552). 127–131. 229 indexed citations
7.
Kennedy, Brian K., et al.. (2001). Histone deacetylase-dependent transcriptional repression by pRB in yeast occurs independently of interaction through the LXCXE binding cleft. Proceedings of the National Academy of Sciences. 98(15). 8720–8725. 25 indexed citations
8.
Giovanni, Andrew, Elizabeth Keramaris, Erick J. Morris, et al.. (2000). E2F1 Mediates Death of B-amyloid-treated Cortical Neurons in a Manner Independent of p53 and Dependent on Bax and Caspase 3. Journal of Biological Chemistry. 275(16). 11553–11560. 182 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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