Gillian C.A. Taylor

793 total citations
9 papers, 468 citations indexed

About

Gillian C.A. Taylor is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gillian C.A. Taylor has authored 9 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Cancer Research. Recurrent topics in Gillian C.A. Taylor's work include Genomics and Chromatin Dynamics (5 papers), Ubiquitin and proteasome pathways (4 papers) and Epigenetics and DNA Methylation (4 papers). Gillian C.A. Taylor is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Ubiquitin and proteasome pathways (4 papers) and Epigenetics and DNA Methylation (4 papers). Gillian C.A. Taylor collaborates with scholars based in United Kingdom, United States and France. Gillian C.A. Taylor's co-authors include Wendy A. Bickmore, Madapura M. Pradeepa, Ragnhild Eskeland, Graeme R. Grimes, Yatendra Kumar, Robert Schneider, Andrew J. Wood, Martijn J. E. Kelder, Robert Feil and Tracy Ballinger and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Genes & Development.

In The Last Decade

Gillian C.A. Taylor

8 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gillian C.A. Taylor United Kingdom 7 432 57 45 40 25 9 468
Changchang Xin China 8 339 0.8× 36 0.6× 33 0.7× 56 1.4× 35 1.4× 14 374
Sebastian Petri Germany 6 407 0.9× 69 1.2× 59 1.3× 45 1.1× 12 0.5× 6 517
Lukas Stalder Switzerland 7 670 1.6× 42 0.7× 94 2.1× 45 1.1× 12 0.5× 7 743
Suneetha Nunna Germany 7 298 0.7× 30 0.5× 16 0.4× 65 1.6× 25 1.0× 12 361
Silvia Jimeno-González Spain 12 476 1.1× 35 0.6× 23 0.5× 26 0.7× 27 1.1× 18 516
David Cano-Rodríguez Netherlands 6 287 0.7× 20 0.4× 20 0.4× 62 1.6× 20 0.8× 8 321
Aleksander Chlebowski Poland 9 644 1.5× 63 1.1× 64 1.4× 50 1.3× 10 0.4× 11 698
Uwe Schwartz Germany 11 315 0.7× 64 1.1× 67 1.5× 36 0.9× 31 1.2× 25 397
Indrani Rebbapragada United States 6 559 1.3× 28 0.5× 36 0.8× 19 0.5× 10 0.4× 6 627
Michelle Wu United States 5 550 1.3× 157 2.8× 23 0.5× 38 0.9× 19 0.8× 10 594

Countries citing papers authored by Gillian C.A. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Gillian C.A. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gillian C.A. Taylor. 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 Gillian C.A. Taylor. The network helps show where Gillian C.A. Taylor may publish in the future.

Co-authorship network of co-authors of Gillian C.A. Taylor

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

All Works

9 of 9 papers shown
1.
Taylor, Gillian C.A., Edwin W. Taylor, Dejin Zheng, et al.. (2025). Tissue-specific consequences of tag fusions on protein expression in transgenic mice. PLoS Genetics. 21(8). e1011830–e1011830.
2.
Taylor, Gillian C.A., et al.. (2024). Degron tagging for rapid protein degradation in mice. Disease Models & Mechanisms. 17(4). 5 indexed citations
3.
Taylor, Gillian C.A., Lucy Scott, Alex von Kriegsheim, et al.. (2022). Rapid and specific degradation of endogenous proteins in mouse models using auxin-inducible degrons. eLife. 11. 26 indexed citations
4.
Taylor, Gillian C.A., Alison Meynert, Tracy Ballinger, et al.. (2018). Heterochromatin delays CRISPR-Cas9 mutagenesis but does not influence the outcome of mutagenic DNA repair. PLoS Biology. 16(12). e2005595–e2005595. 69 indexed citations
5.
Pradeepa, Madapura M., Gillian C.A. Taylor, Hemant Bengani, et al.. (2017). Psip1/p52 regulates posterior Hoxa genes through activation of lncRNA Hottip. PLoS Genetics. 13(4). e1006677–e1006677. 20 indexed citations
6.
Pradeepa, Madapura M., Graeme R. Grimes, Yatendra Kumar, et al.. (2016). Histone H3 globular domain acetylation identifies a new class of enhancers. Nature Genetics. 48(6). 681–686. 152 indexed citations
7.
Taylor, Gillian C.A., Dinesh C. Soares, Shelagh Boyle, et al.. (2016). Condensin II mutation causes T-cell lymphoma through tissue-specific genome instability. Genes & Development. 30(19). 2173–2186. 33 indexed citations
8.
Pradeepa, Madapura M., Graeme R. Grimes, Gillian C.A. Taylor, Heidi G. Sutherland, & Wendy A. Bickmore. (2014). Psip1/Ledgf p75 restrainsHoxgene expression by recruiting both trithorax and polycomb group proteins. Nucleic Acids Research. 42(14). 9021–9032. 20 indexed citations
9.
Taylor, Gillian C.A., et al.. (2013). H4K16 acetylation marks active genes and enhancers of embryonic stem cells, but does not alter chromatin compaction. Genome Research. 23(12). 2053–2065. 143 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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