Kirsty Flower

757 total citations
19 papers, 457 citations indexed

About

Kirsty Flower is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kirsty Flower has authored 19 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Kirsty Flower's work include Epigenetics and DNA Methylation (10 papers), Viral-associated cancers and disorders (6 papers) and Cancer-related molecular mechanisms research (4 papers). Kirsty Flower is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Viral-associated cancers and disorders (6 papers) and Cancer-related molecular mechanisms research (4 papers). Kirsty Flower collaborates with scholars based in United Kingdom, United States and Canada. Kirsty Flower's co-authors include Alison J. Sinclair, Kay Osborn, James M. Flanagan, James Heather, Katarzyna Lubecka, Barbara Stefañska, Matthew Suderman, Susan R. Jones, Dorothy Teegarden and Shihuan Kuang and has published in prestigious journals such as PLoS ONE, Cancer Research and Journal of Virology.

In The Last Decade

Kirsty Flower

19 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kirsty Flower United Kingdom 13 223 210 98 86 67 19 457
Mehrad Tavallai United States 11 213 1.0× 129 0.6× 80 0.8× 46 0.5× 28 0.4× 15 376
Michael Behring United States 13 251 1.1× 131 0.6× 39 0.4× 148 1.7× 44 0.7× 27 441
Jin Kyu Jung South Korea 8 372 1.7× 138 0.7× 286 2.9× 114 1.3× 53 0.8× 8 625
Xinlian Chen China 11 304 1.4× 81 0.4× 74 0.8× 139 1.6× 52 0.8× 33 495
Miranda McEwan New Zealand 8 377 1.7× 155 0.7× 43 0.4× 77 0.9× 95 1.4× 9 484
Zhi Duan China 11 194 0.9× 93 0.4× 71 0.7× 106 1.2× 123 1.8× 30 421
Nina Frey Switzerland 7 207 0.9× 107 0.5× 35 0.4× 51 0.6× 63 0.9× 19 373
Anna Pagotto Italy 9 204 0.9× 108 0.5× 138 1.4× 81 0.9× 51 0.8× 15 392
Lupin Jiang China 8 195 0.9× 80 0.4× 45 0.5× 83 1.0× 33 0.5× 12 352
Shengnan Ruan China 10 219 1.0× 88 0.4× 78 0.8× 139 1.6× 51 0.8× 22 386

Countries citing papers authored by Kirsty Flower

Since Specialization
Citations

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

Fields of papers citing papers by Kirsty Flower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kirsty Flower

This figure shows the co-authorship network connecting the top 25 collaborators of Kirsty Flower. A scholar is included among the top collaborators of Kirsty Flower 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 Kirsty Flower. Kirsty Flower 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.
Flower, Kirsty, et al.. (2019). Mise-en-place: Learning across disciplines. International Journal of Gastronomy and Food Science. 16. 100147–100147. 9 indexed citations
2.
Oltra, Sara S., María Peña-Chilet, Kirsty Flower, et al.. (2019). Acceleration in the DNA methylation age in breast cancer tumours from very young women. Scientific Reports. 9(1). 14991–14991. 15 indexed citations
3.
Lubecka, Katarzyna, Kate Shen, Kirsty Flower, et al.. (2019). Stilbenoid‐Mediated Epigenetic Activation of Semaphorin 3A in Breast Cancer Cells Involves Changes in Dynamic Interactions of DNA with DNMT3A and NF1C Transcription Factor. Molecular Nutrition & Food Research. 63(19). e1801386–e1801386. 25 indexed citations
4.
Lubecka, Katarzyna, Kirsty Flower, Samer Gawrieh, et al.. (2018). Loci-specific differences in blood DNA methylation in HBV-negative populations at risk for hepatocellular carcinoma development. Epigenetics. 13(6). 605–626. 12 indexed citations
5.
Oltra, Sara S., María Peña-Chilet, Kirsty Flower, et al.. (2018). Methylation deregulation of miRNA promoters identifies miR124-2 as a survival biomarker in Breast Cancer in very young women. Scientific Reports. 8(1). 14373–14373. 40 indexed citations
6.
Phelps, David L., Jane Borley, Kirsty Flower, et al.. (2017). Methylation of MYLK3 gene promoter region: a biomarker to stratify surgical care in ovarian cancer in a multicentre study. British Journal of Cancer. 116(10). 1287–1293. 17 indexed citations
7.
Flower, Kirsty, Sadaf Ghaem‐Maghami, & Robert Brown. (2017). Is there a Role for Epigenetic Enhancement of Immunomodulatory Approaches to Cancer Treatment?. Current Cancer Drug Targets. 18(1). 5–15. 6 indexed citations
8.
Stefañska, Barbara, et al.. (2017). Epigenetic Regulation of WNT and Hedgehog Oncogenic Signaling in Breast Cancer Cells in Response to Dietary Polyphenols. The FASEB Journal. 31(S1). 1 indexed citations
9.
Chatterjee, Jayanta, Wei Dai, Nor Haslinda Abd Aziz, et al.. (2016). Clinical Use of Programmed Cell Death-1 and Its Ligand Expression as Discriminatory and Predictive Markers in Ovarian Cancer. Clinical Cancer Research. 23(13). 3453–3460. 47 indexed citations
10.
Lubecka, Katarzyna, Kirsty Flower, Hao Zhang, et al.. (2016). Stilbenoids remodel the DNA methylation patterns in breast cancer cells and inhibit oncogenic NOTCH signaling through epigenetic regulation of MAML2 transcriptional activity. Carcinogenesis. 37(7). 656–668. 82 indexed citations
11.
Flower, Kirsty, et al.. (2016). Abstract 3154: Cell-free circulating tumor DNA methylation in high-grade serous ovarian cancer. Cancer Research. 76(14_Supplement). 3154–3154. 2 indexed citations
12.
Shenker, Natalie, Kirsty Flower, Charlotte S. Wilhelm-Benartzi, et al.. (2015). Transcriptional implications of intragenic DNA methylation in the oestrogen receptor alpha gene in breast cancer cells and tissues. BMC Cancer. 15(1). 337–337. 14 indexed citations
13.
Flower, Kirsty, Natalie Shenker, Mona El‐Bahrawy, et al.. (2015). DNA methylation profiling to assess pathogenicity of BRCA1 unclassified variants in breast cancer. Epigenetics. 10(12). 1121–1132. 10 indexed citations
14.
15.
Flower, Kirsty, et al.. (2011). Epigenetic Control of Viral Life-Cycle by a DNA-Methylation Dependent Transcription Factor. PLoS ONE. 6(10). e25922–e25922. 39 indexed citations
16.
Osborn, Kay, et al.. (2011). Dynamic Chromatin Environment of Key Lytic Cycle Regulatory Regions of the Epstein-Barr Virus Genome. Journal of Virology. 86(3). 1809–1819. 53 indexed citations
17.
18.
Heather, James, et al.. (2009). The Epstein–Barr virus lytic cycle activator Zta interacts with methylated ZRE in the promoter of host target gene egr1. Journal of General Virology. 90(6). 1450–1454. 30 indexed citations
19.
Schelcher, Celine, et al.. (2007). Atypical bZIP Domain of Viral Transcription Factor Contributes to Stability of Dimer Formation and Transcriptional Function. Journal of Virology. 81(13). 7149–7155. 15 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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