Fiona T. Bane

508 total citations
11 papers, 311 citations indexed

About

Fiona T. Bane is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Fiona T. Bane has authored 11 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Fiona T. Bane's work include Estrogen and related hormone effects (6 papers), HER2/EGFR in Cancer Research (3 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Fiona T. Bane is often cited by papers focused on Estrogen and related hormone effects (6 papers), HER2/EGFR in Cancer Research (3 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Fiona T. Bane collaborates with scholars based in Ireland, United States and United Kingdom. Fiona T. Bane's co-authors include Leonie S. Young, Arnold D. Hill, Marie McIlroy, Thomas B. Crotty, Damir Varešlija, Aisling M. Redmond, Mary F. Dillon, Sinéad Cocchiglia, Christopher Byrne and Jean McBryan and has published in prestigious journals such as Nature Communications, Cancer Research and Oncogene.

In The Last Decade

Fiona T. Bane

11 papers receiving 307 citations

Peers

Fiona T. Bane
Stephen Johnston United Kingdom
Fransiscus E. Utama United States
Benjamin Sunkel United States
Christina K. Galang United States
Huai-Chin Chiang United States
Fiona T. Bane
Citations per year, relative to Fiona T. Bane Fiona T. Bane (= 1×) peers Katia Bouchekioua‐Bouzaghou

Countries citing papers authored by Fiona T. Bane

Since Specialization
Citations

This map shows the geographic impact of Fiona T. Bane'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 Fiona T. Bane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona T. Bane more than expected).

Fields of papers citing papers by Fiona T. Bane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona T. Bane. 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 Fiona T. Bane. The network helps show where Fiona T. Bane may publish in the future.

Co-authorship network of co-authors of Fiona T. Bane

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

All Works

11 of 11 papers shown
1.
Daly, Gordon, Michael Flanagan, Mihaela Ola, et al.. (2024). Neoadjuvant HER2 inhibition induces ESR1 DNA methylation alterations resulting in clinically relevant ER expression changes in breast cancers. Cancer Communications. 45(2). 198–202. 1 indexed citations
2.
Cosgrove, Nicola, Damir Varešlija, Stephen Keelan, et al.. (2022). Mapping molecular subtype specific alterations in breast cancer brain metastases identifies clinically relevant vulnerabilities. Nature Communications. 13(1). 514–514. 53 indexed citations
3.
Creevey, Laura, Stephen F. Madden, Sinéad Toomey, et al.. (2019). Altered Steroid Milieu in AI-Resistant Breast Cancer Facilitates AR Mediated Gene-Expression Associated with Poor Response to Therapy. Molecular Cancer Therapeutics. 18(10). 1731–1743. 9 indexed citations
4.
Charmsaz, Sara, Damir Varešlija, Ailís Fagan, et al.. (2018). Network analysis of SRC-1 reveals a novel transcription factor hub which regulates endocrine resistant breast cancer. Oncogene. 37(15). 2008–2021. 24 indexed citations
5.
Charmsaz, Sara, Fiona T. Bane, Paul Tibbitts, et al.. (2017). S100β as a serum marker in endocrine resistant breast cancer. BMC Medicine. 15(1). 79–79. 19 indexed citations
6.
McBryan, Jean, Ailís Fagan, Damian McCartan, et al.. (2015). Transcriptomic Profiling of Sequential Tumors from Breast Cancer Patients Provides a Global View of Metastatic Expression Changes Following Endocrine Therapy. Clinical Cancer Research. 21(23). 5371–5379. 20 indexed citations
7.
Qin, Li, Michael J. Toneff, Dabing Li, et al.. (2014). NCOA1 Directly Targets M-CSF1 Expression to Promote Breast Cancer Metastasis. Cancer Research. 74(13). 3477–3488. 46 indexed citations
8.
Varešlija, Damir, Jean McBryan, Fiona T. Bane, et al.. (2012). AIB1:ERα Transcriptional Activity Is Selectively Enhanced in Aromatase Inhibitor–Resistant Breast Cancer Cells. Clinical Cancer Research. 18(12). 3305–3315. 33 indexed citations
9.
McIlroy, Marie, Eddie Myers, Fiona T. Bane, et al.. (2010). The role of oestrogen receptor α in human thyroid cancer: contributions from coregulatory proteins and the tyrosine kinase receptor HER2. Endocrine Related Cancer. 17(1). 255–264. 27 indexed citations
10.
Redmond, Aisling M., Fiona T. Bane, Marie McIlroy, et al.. (2009). Coassociation of Estrogen Receptor and p160 Proteins Predicts Resistance to Endocrine Treatment; SRC-1 is an Independent Predictor of Breast Cancer Recurrence. Clinical Cancer Research. 15(6). 2098–2106. 69 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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