Phillippa C. Taberlay

2.5k total citations
27 papers, 1.6k citations indexed

About

Phillippa C. Taberlay is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Phillippa C. Taberlay has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Physiology. Recurrent topics in Phillippa C. Taberlay's work include Epigenetics and DNA Methylation (20 papers), Genomics and Chromatin Dynamics (15 papers) and RNA modifications and cancer (7 papers). Phillippa C. Taberlay is often cited by papers focused on Epigenetics and DNA Methylation (20 papers), Genomics and Chromatin Dynamics (15 papers) and RNA modifications and cancer (7 papers). Phillippa C. Taberlay collaborates with scholars based in Australia, United States and Taiwan. Phillippa C. Taberlay's co-authors include Peter A. Jones, Clare Stirzaker, Susan J. Clark, Theresa K. Kelly, Ksenia Skvortsova, Aaron L. Statham, Daniel D. De Carvalho, Jueng Soo You, Gangning Liang and Joanna Achinger-Kawecka and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Phillippa C. Taberlay

27 papers receiving 1.5k citations

Peers

Phillippa C. Taberlay
Rahul Karnik United States
Zhenqing Ye United States
Bingnan Gu United States
Forrest Y. Tanaka United States
Saurabh Baheti United States
Aditi K. Narayanan United States
Gilad Landan United States
Phillippa C. Taberlay
Citations per year, relative to Phillippa C. Taberlay Phillippa C. Taberlay (= 1×) peers Atsuya Nishiyama

Countries citing papers authored by Phillippa C. Taberlay

Since Specialization
Citations

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

Fields of papers citing papers by Phillippa C. Taberlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillippa C. Taberlay

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

All Works

20 of 20 papers shown
1.
Giles, Katherine A., Phillippa C. Taberlay, Anthony J. Cesare, & Mathew V. Jones. (2025). Roles for the 3D genome in the cell cycle, DNA replication, and double strand break repair. Frontiers in Cell and Developmental Biology. 13. 1548946–1548946. 2 indexed citations
2.
Hardy, Kristine, et al.. (2024). RUNX1 regulates promoter activity in the absence of cognate DNA binding motifs. Journal of Cellular Biochemistry. 125(6). e30570–e30570. 1 indexed citations
3.
Giles, Katherine A., et al.. (2023). The role of chromatin remodeler SMARCA4/BRG1 in brain cancers: a potential therapeutic target. Oncogene. 42(31). 2363–2373. 26 indexed citations
4.
Wilson, Richard, E. J. Wilkinson, Joanne L. Dickinson, et al.. (2023). Multiomics analysis of adaptation to repeated DNA damage in prostate cancer cells. Epigenetics. 18(1). 2214047–2214047. 2 indexed citations
5.
Giles, Katherine A., Cathryn M. Gould, Joanna Achinger-Kawecka, et al.. (2021). BRG1 knockdown inhibits proliferation through multiple cellular pathways in prostate cancer. Clinical Epigenetics. 13(1). 37–37. 18 indexed citations
6.
Khoury, Amanda, Joanna Achinger-Kawecka, Grady C. Smith, et al.. (2020). Constitutively bound CTCF sites maintain 3D chromatin architecture and long-range epigenetically regulated domains. Nature Communications. 11(1). 54–54. 64 indexed citations
7.
Giles, Katherine A., Cathryn M. Gould, Qian Du, et al.. (2019). Integrated epigenomic analysis stratifies chromatin remodellers into distinct functional groups. Epigenetics & Chromatin. 12(1). 12–12. 21 indexed citations
8.
Taberlay, Phillippa C., Adele F. Holloway, Mark Ambrose, et al.. (2019). DNA methylation changes following DNA damage in prostate cancer cells. Epigenetics. 14(10). 989–1002. 19 indexed citations
9.
Taberlay, Phillippa C., et al.. (2016). Role of 5-Hydroxymethylation and TET enzymes in remodelling the epigenome. eCite Digital Repository (University of Tasmania). 1 indexed citations
10.
Taberlay, Phillippa C., Joanna Achinger-Kawecka, Aaron T. L. Lun, et al.. (2016). Three-dimensional disorganization of the cancer genome occurs coincident with long-range genetic and epigenetic alterations. Genome Research. 26(6). 719–731. 208 indexed citations
11.
Phipps, Andrew J., James C. Vickers, Phillippa C. Taberlay, & Adele Woodhouse. (2016). Neurofilament-labeled pyramidal neurons and astrocytes are deficient in DNA methylation marks in Alzheimer's disease. Neurobiology of Aging. 45. 30–42. 35 indexed citations
12.
Achinger-Kawecka, Joanna, Phillippa C. Taberlay, & Susan J. Clark. (2016). Alterations in Three-Dimensional Organization of the Cancer Genome and Epigenome. Cold Spring Harbor Symposia on Quantitative Biology. 81. 41–51. 21 indexed citations
13.
Taberlay, Phillippa C., Arabella Young, Alison C. West, et al.. (2015). The Leukemia Inhibitory Factor Receptor Gene Is a Direct Target of RUNX1. Journal of Cellular Biochemistry. 117(1). 49–58. 9 indexed citations
14.
Brettingham‐Moore, Kate H., Phillippa C. Taberlay, & Adele F. Holloway. (2015). Interplay between Transcription Factors and the Epigenome: Insight from the Role of RUNX1 in Leukemia. Frontiers in Immunology. 6. 499–499. 24 indexed citations
15.
Taberlay, Phillippa C., Aaron L. Statham, Theresa K. Kelly, Susan J. Clark, & Peter A. Jones. (2014). Reconfiguration of nucleosome-depleted regions at distal regulatory elements accompanies DNA methylation of enhancers and insulators in cancer. Genome Research. 24(9). 1421–1432. 128 indexed citations
16.
Statham, Aaron L., Phillippa C. Taberlay, Theresa K. Kelly, Peter A. Jones, & Susan J. Clark. (2014). Genome-wide nucleosome occupancy and DNA methylation profiling of four human cell lines. Genomics Data. 3. 94–96. 8 indexed citations
17.
Stirzaker, Clare, Phillippa C. Taberlay, Aaron L. Statham, & Susan J. Clark. (2013). Mining cancer methylomes: prospects and challenges. Trends in Genetics. 30(2). 75–84. 134 indexed citations
18.
Carvalho, Daniel D. De, Shikhar Sharma, Jueng Soo You, et al.. (2012). DNA Methylation Screening Identifies Driver Epigenetic Events of Cancer Cell Survival. Cancer Cell. 21(5). 655–667. 214 indexed citations
19.
Taberlay, Phillippa C., Theresa K. Kelly, Chun-Chi Liu, et al.. (2011). Polycomb-Repressed Genes Have Permissive Enhancers that Initiate Reprogramming. Cell. 147(6). 1283–1294. 139 indexed citations
20.
Taberlay, Phillippa C. & Peter A. Jones. (2010). DNA Methylation and Cancer. PubMed. 67. 1–23. 125 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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