Oliver M. Dovey

9.5k total citations
17 papers, 1.1k citations indexed

About

Oliver M. Dovey is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Oliver M. Dovey has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Hematology and 2 papers in Genetics. Recurrent topics in Oliver M. Dovey's work include Acute Myeloid Leukemia Research (6 papers), Histone Deacetylase Inhibitors Research (6 papers) and Epigenetics and DNA Methylation (6 papers). Oliver M. Dovey is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Histone Deacetylase Inhibitors Research (6 papers) and Epigenetics and DNA Methylation (6 papers). Oliver M. Dovey collaborates with scholars based in United Kingdom, United States and Australia. Oliver M. Dovey's co-authors include Shaun M. Cowley, C. T. Foster, Allan Bradley, George S. Vassiliou, Larissa Lezina, Timothy W. Gant, Jinli Luo, Nick A. Barlev, Nathalie Conte and Rajinder Singh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Molecular and Cellular Biology.

In The Last Decade

Oliver M. Dovey

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver M. Dovey United Kingdom 12 962 133 125 118 93 17 1.1k
Tommaso Zanocco‐Marani Italy 18 543 0.6× 84 0.6× 141 1.1× 69 0.6× 96 1.0× 38 890
Erikjan Rijkers Netherlands 13 674 0.7× 66 0.5× 61 0.5× 126 1.1× 101 1.1× 17 894
Tadayuki Akagi Japan 23 766 0.8× 189 1.4× 138 1.1× 185 1.6× 81 0.9× 48 1.2k
Julie Quach Australia 13 519 0.5× 173 1.3× 168 1.3× 73 0.6× 59 0.6× 15 824
Joshua A. Regal United States 8 349 0.4× 130 1.0× 78 0.6× 72 0.6× 109 1.2× 17 831
Jaime M. Reyes United States 12 761 0.8× 261 2.0× 156 1.2× 52 0.4× 78 0.8× 22 1.0k
Walbert J. Bakker Netherlands 12 559 0.6× 62 0.5× 140 1.1× 59 0.5× 65 0.7× 19 808
Ronan Quéré France 15 423 0.4× 149 1.1× 80 0.6× 52 0.4× 55 0.6× 33 669
Miguel Foronda Spain 15 804 0.8× 37 0.3× 139 1.1× 140 1.2× 104 1.1× 20 1.3k
Lei Bi China 11 629 0.7× 169 1.3× 200 1.6× 61 0.5× 176 1.9× 45 1.1k

Countries citing papers authored by Oliver M. Dovey

Since Specialization
Citations

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

Fields of papers citing papers by Oliver M. Dovey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oliver M. Dovey. 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 Oliver M. Dovey. The network helps show where Oliver M. Dovey may publish in the future.

Co-authorship network of co-authors of Oliver M. Dovey

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

All Works

17 of 17 papers shown
1.
Hallast, Pille, Luca Crepaldi, Yan Zhou, et al.. (2023). Optimized whole-genome CRISPR interference screens identify ARID1A-dependent growth regulators in human induced pluripotent stem cells. Stem Cell Reports. 18(5). 1061–1074. 3 indexed citations
2.
Gupta, Shikha, Oliver M. Dovey, Ana Filipa Domingues, et al.. (2022). Transcriptional variability accelerates preleukemia by cell diversification and perturbation of protein synthesis. Science Advances. 8(31). eabn4886–eabn4886. 3 indexed citations
3.
Dovey, Oliver M., Jonathan Cooper, Muxin Gu, et al.. (2021). SETBP1 overexpression acts in the place of class-defining mutations to drive FLT3-ITD–mutant AML. Blood Advances. 5(9). 2412–2425. 9 indexed citations
4.
Gonçalves, Emanuel, Mark Thomas, Fiona M. Behan, et al.. (2021). Minimal genome-wide human CRISPR-Cas9 library. Genome biology. 22(1). 40–40. 45 indexed citations
5.
Yun, Haiyang, Shabana Vohra, Annalisa Mupo, et al.. (2019). Mutational Synergy Coordinately Remodels Chromatin Accessibility, Enhancer Landscape and 3-Dimensional DNA Topology to Alter Gene Expression during Leukemia Induction. Blood. 134(Supplement_1). 278–278. 2 indexed citations
6.
Nguyen, Chi Huu, Katharina Bauer, Hubert Hackl, et al.. (2019). SOCS2 is part of a highly prognostic 4-gene signature in AML and promotes disease aggressiveness. Scientific Reports. 9(1). 9139–9139. 36 indexed citations
7.
Li, Juan, Daniel Prins, Hyun Jung Park, et al.. (2017). Mutant calreticulin knockin mice develop thrombocytosis and myelofibrosis without a stem cell self-renewal advantage. Blood. 131(6). 649–661. 57 indexed citations
8.
Dovey, Oliver M., Jonathan Cooper, Annalisa Mupo, et al.. (2017). Molecular synergy underlies the co-occurrence patterns and phenotype of NPM1-mutant acute myeloid leukemia. Blood. 130(17). 1911–1922. 52 indexed citations
9.
Taylor, Samuel J., et al.. (2017). Preventing chemotherapy-induced myelosuppression by repurposing the FLT3 inhibitor quizartinib. Science Translational Medicine. 9(402). 37 indexed citations
10.
Kelly, Richard D., Laura O’Regan, Oliver M. Dovey, et al.. (2014). Histone deacetylase (HDAC) 1 and 2 are essential for accurate cell division and the pluripotency of embryonic stem cells. Proceedings of the National Academy of Sciences. 111(27). 9840–9845. 122 indexed citations
11.
Dovey, Oliver M., et al.. (2013). Histone deacetylase (HDAC) 1 and 2 are essential for normal T cell development and genomic stability in mice. Clinical Epigenetics. 5(S1). 6 indexed citations
12.
Dovey, Oliver M., C. T. Foster, Nathalie Conte, et al.. (2013). Histone deacetylase 1 and 2 are essential for normal T-cell development and genomic stability in mice. Blood. 121(8). 1335–1344. 118 indexed citations
13.
Dovey, Oliver M., C. T. Foster, & Shaun M. Cowley. (2010). Histone deacetylase 1 (HDAC1), but not HDAC2, controls embryonic stem cell differentiation. Proceedings of the National Academy of Sciences. 107(18). 8242–8247. 235 indexed citations
14.
Foster, C. T., Oliver M. Dovey, Larissa Lezina, et al.. (2010). Lysine-Specific Demethylase 1 Regulates the Embryonic Transcriptome and CoREST Stability. Molecular and Cellular Biology. 30(20). 4851–4863. 155 indexed citations
15.
Weyden, Louise van der, Mark J. Arends, Oliver M. Dovey, et al.. (2008). Loss of Rassf1a cooperates with ApcMin to accelerate intestinal tumourigenesis. Oncogene. 27(32). 4503–4508. 28 indexed citations
16.
Rada-Iglesias, Álvaro, Stefan Enroth, Adam Ameur, et al.. (2007). Butyrate mediates decrease of histone acetylation centered on transcription start sites and down-regulation of associated genes. Genome Research. 17(6). 708–719. 120 indexed citations
17.
Natrajan, Rachael, Alan Mackay, JS Reis‐Filho, et al.. (2006). Array CGH profiling of favourable histology Wilms tumours reveals novel gains and losses associated with relapse. The Journal of Pathology. 210(1). 49–58. 98 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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