Nuala Healy

1.0k total citations
32 papers, 645 citations indexed

About

Nuala Healy is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Nuala Healy has authored 32 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Oncology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Nuala Healy's work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (6 papers) and Breast Lesions and Carcinomas (6 papers). Nuala Healy is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (6 papers) and Breast Lesions and Carcinomas (6 papers). Nuala Healy collaborates with scholars based in Ireland, United Kingdom and United States. Nuala Healy's co-authors include Michael J. Kerin, Peter Cantillon, Rachel Schiff, C. Kent Osborne, Carmel Malone, Xiaoyong Fu, Helen Heneghan, Susan G. Hilsenbeck, Gary C. Chamness and Mothaffar F. Rimawi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Radiology.

In The Last Decade

Nuala Healy

29 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nuala Healy Ireland 11 227 155 136 135 134 32 645
Zoi Tsourti Greece 15 707 3.1× 141 0.9× 98 0.7× 402 3.0× 100 0.7× 27 1.0k
Garth Funston United Kingdom 13 234 1.0× 142 0.9× 40 0.3× 122 0.9× 77 0.6× 35 678
Stephanie Downs‐Canner United States 17 545 2.4× 212 1.4× 28 0.2× 132 1.0× 247 1.8× 57 1.1k
Rebecca I. Hartman United States 12 283 1.2× 145 0.9× 74 0.5× 143 1.1× 97 0.7× 57 718
Marissa J. White United States 11 70 0.3× 105 0.7× 42 0.3× 60 0.4× 47 0.4× 32 380
Jennifer Tseng United States 13 331 1.5× 326 2.1× 36 0.3× 205 1.5× 157 1.2× 23 796
Vickram J. Tandon United States 16 180 0.8× 98 0.6× 99 0.7× 42 0.3× 223 1.7× 29 819
Rachael A. Gordon United States 11 89 0.4× 128 0.8× 38 0.3× 42 0.3× 34 0.3× 17 849
Elham Rahimy United States 12 154 0.7× 225 1.5× 42 0.3× 78 0.6× 158 1.2× 42 519
Natalie S. Lui United States 13 116 0.5× 81 0.5× 43 0.3× 247 1.8× 32 0.2× 87 552

Countries citing papers authored by Nuala Healy

Since Specialization
Citations

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

Fields of papers citing papers by Nuala Healy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuala Healy

This figure shows the co-authorship network connecting the top 25 collaborators of Nuala Healy. A scholar is included among the top collaborators of Nuala Healy 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 Nuala Healy. Nuala Healy 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.
Schiaffino, Simone, Daniela Bernardi, Nuala Healy, et al.. (2025). ESR Essentials: artificial intelligence in breast imaging—practice recommendations by the European Society of Breast Imaging. European Radiology. 36(3). 1909–1918. 1 indexed citations
2.
3.
Manavaki, Roido, Vasiliki Papalouka, Nicholas Roy Payne, et al.. (2025). Improving the diagnostic performance of contrast-enhanced mammography through lesion conspicuity and enhancement quantification. European Radiology. 35(10). 6385–6397. 1 indexed citations
4.
Kilburn‐Toppin, Fleur, et al.. (2025). Supplemental Screening With MRI in Women With Dense Breasts: The European Perspective. Journal of Breast Imaging. 7(2). 131–140. 2 indexed citations
5.
Sardanelli, Francesco, Veronica Magni, Gabriele Rossini, et al.. (2024). The paradox of MRI for breast cancer screening: high-risk and dense breasts—available evidence and current practice. Insights into Imaging. 15(1). 96–96. 19 indexed citations
6.
Healy, Nuala, et al.. (2024). The top 100 most-cited articles on artificial intelligence in breast radiology: a bibliometric analysis. Insights into Imaging. 15(1). 297–297.
7.
8.
Vinnicombe, Sarah, H. Benjamin Harvey, Nuala Healy, et al.. (2021). Introduction of an abbreviated breast MRI service in the UK as part of the BRAID trial: practicalities, challenges, and future directions. Clinical Radiology. 76(6). 427–433. 12 indexed citations
9.
Healy, Nuala, Mark Knox, Gormlaith Hargaden, et al.. (2020). Consensus Review of Discordant Imaging Findings after the Introduction of Digital Screening Mammography: Irish National Breast Cancer Screening Program Experience. Radiology. 295(1). 35–41. 10 indexed citations
10.
Hughes, Peter, Nuala Healy, Clíona Grant, & Jacqueline Ryan. (2017). Treatment of hepatic metastases from medullary thyroid cancer with transarterial embolisation. European Radiology Experimental. 1(1). 9–9. 4 indexed citations
11.
Healy, Nuala, et al.. (2017). The value of routine screening mammography in women aged 35–39 years in a symptomatic breast unit. Clinical Radiology. 72(6). 517.e7–517.e12. 5 indexed citations
12.
Malorni, Luca, Mario Giuliano, Ilenia Migliaccio, et al.. (2016). Blockade of AP-1 Potentiates Endocrine Therapy and Overcomes Resistance. Molecular Cancer Research. 14(5). 470–481. 31 indexed citations
13.
Healy, Nuala & Sylvia O’Keeffe. (2016). Determination of recall rates for assessment in high-risk women undergoing annual surveillance breast MRI. Clinical Radiology. 71(11). 1143–1147. 6 indexed citations
14.
Healy, Nuala, Ronan W. Glynn, Carmel Malone, Peter Cantillon, & Michael J. Kerin. (2012). Surgical Mentors and Role Models: Prevalence, Importance and Associated Traits. Journal of surgical education. 69(5). 633–637. 38 indexed citations
15.
Healy, Nuala, Rachel Schiff, C. Kent Osborne, & Michael J. Kerin. (2012). Mirnas: Small molecules, big players in tamoxifen resistance in breast cancer. International Journal of Surgery. 10(8). S4–S4. 1 indexed citations
16.
Healy, Nuala, Peter Cantillon, Carmel Malone, & Michael J. Kerin. (2012). Role models and mentors in surgery. The American Journal of Surgery. 204(2). 256–261. 82 indexed citations
17.
Healy, Nuala, Helen Heneghan, Nicola Miller, et al.. (2012). Systemic mirnas as potential biomarkers for malignancy. International Journal of Cancer. 131(10). 2215–2222. 37 indexed citations
18.
Healy, Nuala, Ronan W. Glynn, Cristian Scutaru, et al.. (2011). The h index and the identification of global benchmarks for breast cancer research output. Breast Cancer Research and Treatment. 127(3). 845–851. 29 indexed citations
19.
Heneghan, Helen, Nuala Healy, Seán Martin, et al.. (2011). Modern management of pyogenic hepatic abscess: a case series and review of the literature. BMC Research Notes. 4(1). 80–80. 78 indexed citations
20.
Wang, Yen-Chao, Gladys Morrison, Ryan Gillihan, et al.. (2011). Different mechanisms for resistance to trastuzumab versus lapatinib in HER2- positive breast cancers - role of estrogen receptor and HER2 reactivation. Breast Cancer Research. 13(6). R121–R121. 213 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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