James P. Reddington

1.8k total citations
19 papers, 1.2k citations indexed

About

James P. Reddington is a scholar working on Molecular Biology, Genetics and Electrical and Electronic Engineering. According to data from OpenAlex, James P. Reddington has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Genetics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in James P. Reddington's work include Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (7 papers) and Cancer-related gene regulation (6 papers). James P. Reddington is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (7 papers) and Cancer-related gene regulation (6 papers). James P. Reddington collaborates with scholars based in United Kingdom, Germany and United States. James P. Reddington's co-authors include Richard R. Meehan, Donncha S. Dunican, Colm E. Nestor, Diana Reinhardt, Duncan Sproul, David J. Harrison, J. Michael Dixon, Raffaele Ottaviano, Elad Katz and Sari Pennings and has published in prestigious journals such as Nature, Development and Biochemical Journal.

In The Last Decade

James P. Reddington

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James P. Reddington United Kingdom 13 1.1k 253 107 107 75 19 1.2k
David McCleary United Kingdom 8 1.4k 1.3× 341 1.3× 143 1.3× 178 1.7× 83 1.1× 13 1.7k
Scott McMahon United States 3 1.0k 1.0× 180 0.7× 109 1.0× 111 1.0× 35 0.5× 7 1.2k
E. Christopher Partridge United States 11 619 0.6× 278 1.1× 130 1.2× 115 1.1× 33 0.4× 20 835
Ulla Aapola Finland 17 742 0.7× 285 1.1× 118 1.1× 64 0.6× 114 1.5× 33 1.1k
Anthony P. Fejes Canada 11 969 0.9× 229 0.9× 161 1.5× 75 0.7× 39 0.5× 15 1.2k
Yoshihide Hayashizaki Japan 17 1.1k 1.0× 399 1.6× 100 0.9× 161 1.5× 89 1.2× 32 1.3k
Geoffrey Yang United States 5 710 0.7× 580 2.3× 108 1.0× 113 1.1× 59 0.8× 6 1.1k
Laurent C. Francioli United States 9 540 0.5× 573 2.3× 126 1.2× 93 0.9× 38 0.5× 11 990
Qiao Zeng China 7 750 0.7× 157 0.6× 168 1.6× 45 0.4× 96 1.3× 11 931
Xiaojun Di United States 6 754 0.7× 622 2.5× 124 1.2× 124 1.2× 63 0.8× 7 1.1k

Countries citing papers authored by James P. Reddington

Since Specialization
Citations

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

Fields of papers citing papers by James P. Reddington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James P. Reddington. 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 James P. Reddington. The network helps show where James P. Reddington may publish in the future.

Co-authorship network of co-authors of James P. Reddington

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

All Works

19 of 19 papers shown
1.
Heinen, Tobias, Stefano Secchia, James P. Reddington, et al.. (2022). scDALI: modeling allelic heterogeneity in single cells reveals context-specific genetic regulation. Genome biology. 23(1). 8–8. 12 indexed citations
2.
Liu, Jialin, Rebecca R. Viales, Pierre Khoueiry, et al.. (2021). The hourglass model of evolutionary conservation during embryogenesis extends to developmental enhancers with signatures of positive selection. Genome Research. 31(9). 1573–1581. 13 indexed citations
3.
Reddington, James P., David Garfield, Aslıhan Karabacak Calviello, et al.. (2020). Lineage-Resolved Enhancer and Promoter Usage during a Time Course of Embryogenesis. Developmental Cell. 55(5). 648–664.e9. 34 indexed citations
4.
Peng, Pei-Chen, Pierre Khoueiry, Charles Girardot, et al.. (2019). The Role of Chromatin Accessibility in cis-Regulatory Evolution. Genome Biology and Evolution. 11(7). 1813–1828. 12 indexed citations
5.
Cusanovich, Darren A., James P. Reddington, David Garfield, et al.. (2018). The cis-regulatory dynamics of embryonic development at single-cell resolution. Nature. 555(7697). 538–542. 230 indexed citations
6.
Reddington, James P., Duncan Sproul, & Richard R. Meehan. (2013). DNA methylation reprogramming in cancer: Does it act by re‐configuring the binding landscape of Polycomb repressive complexes?. BioEssays. 36(2). 134–140. 28 indexed citations
7.
Reichmann, Judith, James P. Reddington, David Read, et al.. (2013). The genome-defence gene Tex19.1 suppresses LINE-1 retrotransposons in the placenta and prevents intra-uterine growth retardation in mice. Human Molecular Genetics. 22(9). 1791–1806. 30 indexed citations
8.
Nestor, Colm E., James P. Reddington, Mikael Benson, & Richard R. Meehan. (2013). Investigating 5-Hydroxymethylcytosine (5hmC): The State of the Art. Methods in molecular biology. 1094. 243–258. 12 indexed citations
9.
Reddington, James P., Colm E. Nestor, Judith Reichmann, et al.. (2013). Redistribution of H3K27me3 upon DNA hypomethylation results in de-repression of Polycomb target genes. Genome biology. 14(3). R25–R25. 163 indexed citations
10.
Reddington, James P., Sari Pennings, & Richard R. Meehan. (2013). Non-canonical functions of the DNA methylome in gene regulation. Biochemical Journal. 451(1). 13–23. 60 indexed citations
11.
Gutin, Gregory, Adrian Johnstone, James P. Reddington, Elizabeth Scott, & Anders Yeo. (2012). An algorithm for finding input–output constrained convex sets in an acyclic digraph. Journal of Discrete Algorithms. 13. 47–58. 2 indexed citations
12.
Hackett, Jamie A., James P. Reddington, Colm E. Nestor, et al.. (2012). Promoter DNA methylation couples genome-defence mechanisms to epigenetic reprogramming in the mouse germline. Development. 139(19). 3623–3632. 115 indexed citations
13.
14.
Nestor, Colm E., Raffaele Ottaviano, James P. Reddington, et al.. (2011). Tissue type is a major modifier of the 5-hydroxymethylcytosine content of human genes. Genome Research. 22(3). 467–477. 326 indexed citations
15.
Meng, Huan, Colm E. Nestor, Donncha S. Dunican, et al.. (2011). Apoptosis and DNA Methylation. Cancers. 3(2). 1798–1820. 15 indexed citations
16.
Ruzov, Alexey, Ekaterina Savitskaya, Jamie A. Hackett, et al.. (2009). The non-methylated DNA-binding function of Kaiso is not required in earlyXenopus laevisdevelopment. Development. 136(5). 729–738. 43 indexed citations
17.
Ruzov, Alexey, Jamie A. Hackett, Anna Prokhortchouk, et al.. (2009). The interaction of xKaiso with xTcf3: a revised model for integration of epigenetic and Wnt signalling pathways. Development. 136(5). 723–727. 42 indexed citations
18.
Reddington, James P., Gregory Gutin, Adrian Johnstone, Elizabeth Scott, & Anders Yeo. (2009). Better Than Optimal: Fast Identification of Custom Instruction Candidates. 17–24. 7 indexed citations
19.
Balister, Paul, Stefanie Gerke, Gregory Gutin, et al.. (2008). Algorithms for generating convex sets in acyclic digraphs. Journal of Discrete Algorithms. 7(4). 509–518. 10 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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