Fiona Lanigan

555 total citations
12 papers, 383 citations indexed

About

Fiona Lanigan is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fiona Lanigan has authored 12 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fiona Lanigan's work include Cancer Cells and Metastasis (7 papers), Cancer-related Molecular Pathways (4 papers) and Genomics and Chromatin Dynamics (3 papers). Fiona Lanigan is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Cancer-related Molecular Pathways (4 papers) and Genomics and Chromatin Dynamics (3 papers). Fiona Lanigan collaborates with scholars based in Ireland, Sweden and United Kingdom. Fiona Lanigan's co-authors include William M. Gallagher, James Geraghty, Adrian P. Bracken, Darran P. O’Connor, F. Martin, Karin Jirström, Finian Martin, Donal J. Brennan, Shauna Hegarty and Robert C. Millikan and has published in prestigious journals such as Cancer Research, Oncogene and Journal of Cell Science.

In The Last Decade

Fiona Lanigan

11 papers receiving 373 citations

Peers

Fiona Lanigan

MB

ONCOL

CR

NEURO

GENET

Carolyn Paisie United States

Alessio Valletti Italy

Laura Sourd France

Maja Sirotković-Skerlev Croatia

Bryan H. Louie United States

Andrew S. Gilder United States

Matthew R. Garcia United States

Morad Khayat Israel

Colin Carlock United States

Cong Ran United States

Carolyn Paisie United States

Fiona Lanigan

191 ×0.9

MB

115 ×0.7

ONCOL

121 ×1.2

CR

66 ×0.8

NEURO

84 ×1.9

GENET

Citations per year, relative to Fiona Lanigan Fiona Lanigan (= 1×) peers Carolyn Paisie

Countries citing papers authored by Fiona Lanigan

Since Specialization

Citations

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

Fields of papers citing papers by Fiona Lanigan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Lanigan

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

All Works

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12 of 12 papers shown

1.

O’Grady, Shane, Jessica C. Ralston, Eadaoin McKiernan, et al.. (2025). Invisible spectrum: a model for minority community public engagement in cancer research. Research Involvement and Engagement. 11(1). 53–53.

2.

Rahman, Arman, et al.. (2020). Advances in tissue-based imaging: impact on oncology research and clinical practice. Expert Review of Molecular Diagnostics. 20(10). 1027–1037. 10 indexed citations

3.

Moran, Bruce, et al.. (2017). Master Transcriptional Regulators in Cancer: Discovery via Reverse Engineering Approaches and Subsequent Validation. Cancer Research. 77(9). 2186–2190. 9 indexed citations

4.

Gremel, Gabriela, Máirín Rafferty, Fiona Lanigan, et al.. (2011). Functional and prognostic relevance of the homeobox protein MSX2 in malignant melanoma. British Journal of Cancer. 105(4). 565–574. 12 indexed citations

5.

Lanigan, Fiona, James Geraghty, & Adrian P. Bracken. (2011). Transcriptional regulation of cellular senescence. Oncogene. 30(26). 2901–2911. 73 indexed citations

6.

McKeen, Hayley D., Donal J. Brennan, Shauna Hegarty, et al.. (2011). The emerging role of FK506-binding proteins as cancer biomarkers: a focus on FKBPL. Biochemical Society Transactions. 39(2). 663–668. 26 indexed citations

7.

Lanigan, Fiona, Gabriela Gremel, Donal J. Brennan, et al.. (2010). Homeobox transcription factor muscle segment homeobox 2 (Msx2) correlates with good prognosis in breast cancer patients and induces apoptosis in vitro. Breast Cancer Research. 12(4). R59–R59. 21 indexed citations

8.

Whyte, Jacqueline, Laura M. Thornton, Sara McNally, et al.. (2010). PKCζ regulates cell polarisation and proliferation restriction during mammary acinus formation. Journal of Cell Science. 123(19). 3316–3328. 27 indexed citations

9.

Lanigan, Fiona, Eadaoin McKiernan, Donal J. Brennan, et al.. (2008). Increased claudin‐4 expression is associated with poor prognosis and high tumour grade in breast cancer. International Journal of Cancer. 124(9). 2088–2097. 122 indexed citations

10.

Lanigan, Fiona, Darran P. O’Connor, F. Martin, & William M. Gallagher. (2007). Common Molecular Mechanisms of Mammary Gland Development and Breast Cancer. Cellular and Molecular Life Sciences. 64(24). 3159–3184. 70 indexed citations

11.

McGee, Sharon F., et al.. (2006). Mammary gland biology and breast cancer. EMBO Reports. 7(11). 1084–1088. 11 indexed citations

12.

McGee, Sharon F., et al.. (2006). Conference on Common Molecular Mechanisms of Mammary Gland Development and Breast Cancer Progression. 2 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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