Arnold Hill

6.7k total citations · 1 hit paper
130 papers, 5.2k citations indexed

About

Arnold Hill is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Arnold Hill has authored 130 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Oncology, 46 papers in Cancer Research and 42 papers in Surgery. Recurrent topics in Arnold Hill's work include Breast Cancer Treatment Studies (40 papers), Breast Lesions and Carcinomas (31 papers) and Breast Implant and Reconstruction (19 papers). Arnold Hill is often cited by papers focused on Breast Cancer Treatment Studies (40 papers), Breast Lesions and Carcinomas (31 papers) and Breast Implant and Reconstruction (19 papers). Arnold Hill collaborates with scholars based in Ireland, United States and United Kingdom. Arnold Hill's co-authors include N. J. O’Higgins, Enda McDermott, Michael J. Duffy, Cecily Quinn, Hiram S. Cody, Patrick I. Borgen, Teresa Maguire, Mary F. Dillon, E. McDermott and Katherine N. Tran and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Cancer.

In The Last Decade

Arnold Hill

123 papers receiving 5.1k citations

Hit Papers

Metalloproteinases: role in breast carcinogenesis, invasi... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnold Hill Ireland 41 2.1k 1.9k 1.6k 1.5k 1.4k 130 5.2k
N. J. O’Higgins Ireland 50 2.9k 1.4× 2.8k 1.5× 1.1k 0.7× 1.0k 0.7× 2.2k 1.6× 185 6.8k
Sybren Meijer Netherlands 44 2.7k 1.3× 2.5k 1.3× 1.9k 1.2× 1.7k 1.1× 824 0.6× 97 6.9k
Gyungyub Gong South Korea 51 1.8k 0.9× 3.1k 1.6× 1.2k 0.8× 2.0k 1.3× 1.7k 1.2× 297 8.1k
Semir Vranić Qatar 36 1.3k 0.6× 2.6k 1.4× 1.1k 0.7× 735 0.5× 1.6k 1.2× 228 5.1k
Walther Kuhn Germany 38 1.4k 0.7× 1.7k 0.9× 997 0.6× 977 0.6× 943 0.7× 118 5.7k
Chafika Mazouni France 30 2.5k 1.2× 2.3k 1.2× 877 0.6× 688 0.5× 1.1k 0.8× 124 5.2k
David J. Dabbs United States 48 3.2k 1.5× 3.1k 1.7× 2.0k 1.3× 1.2k 0.8× 1.9k 1.4× 205 7.9k
Sigurd Lax Austria 39 1.8k 0.9× 2.1k 1.1× 732 0.5× 646 0.4× 1.5k 1.1× 145 5.9k
David Euhus United States 40 3.0k 1.4× 3.1k 1.6× 1.2k 0.8× 1.4k 0.9× 2.4k 1.7× 128 7.5k
Serge Koscielny France 42 1.3k 0.6× 1.8k 1.0× 889 0.6× 658 0.4× 1.8k 1.3× 135 5.7k

Countries citing papers authored by Arnold Hill

Since Specialization
Citations

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

Fields of papers citing papers by Arnold Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnold Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Arnold Hill. A scholar is included among the top collaborators of Arnold Hill 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 Arnold Hill. Arnold Hill 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.
Smyth, Nicholas P.D., et al.. (2025). Anatomical basis for sensory preservation in robotic mastectomy. British journal of surgery. 112(11).
3.
Power, Colm, et al.. (2024). Does Sentinel Lymph Node Biopsy Influence Subsequent Management Decisions in Women With Breast Cancer ≥ 70 Years Old?. Clinical Breast Cancer. 24(6). 510–518.e4. 6 indexed citations
4.
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
5.
McArdle, Orla, et al.. (2018). AB054. 112. Intraoperative radiotherapy for early breast cancer: Beaumont hospital experience. 2. AB054–AB054. 1 indexed citations
6.
Lindner, Andreas U., Federico Lucantoni, Damir Varešlija, et al.. (2018). Low cleaved caspase-7 levels indicate unfavourable outcome across all breast cancers. Journal of Molecular Medicine. 96(10). 1025–1037. 15 indexed citations
7.
O’Leary, Donal Peter, Elaine W. Kay, Michael A. Farrell, et al.. (2017). The significance of BRAF V600E mutation status discordance between primary cutaneous melanoma and brain metastases. Medicine. 96(48). e8404–e8404. 21 indexed citations
8.
McIlroy, Marie, Damian McCartan, Peadar Ó Gaora, et al.. (2010). Interaction of Developmental Transcription Factor HOXC11 with Steroid Receptor Coactivator SRC-1 Mediates Resistance to Endocrine Therapy in Breast Cancer. Cancer Research. 70(4). 1585–1594. 60 indexed citations
9.
McGowan, Patricia M., Eadaoin McKiernan, Ferdia Bolster, et al.. (2008). ADAM-17 predicts adverse outcome in patients with breast cancer. Annals of Oncology. 19(6). 1075–1081. 68 indexed citations
10.
Quinn, Cecily, Fidelma Flanagan, A. O’Doherty, et al.. (2007). Radial scars/complex sclerosing lesions and malignancy in a screening programme: incidence and histological features revisited. Histopathology. 50(5). 607–614. 50 indexed citations
11.
O’Donovan, Norma, Deirdre Foley, Arnold Hill, et al.. (2007). Use of a Panel of Novel Genes for Differentiating Breast Cancer from Non-Breast Tissues. Tumor Biology. 28(6). 312–317. 8 indexed citations
12.
Dillon, Mary F., Aoife Maguire, Enda McDermott, et al.. (2007). Needle core biopsy characteristics identify patients at risk of compromised margins in breast conservation surgery. Modern Pathology. 21(1). 39–45. 30 indexed citations
13.
Fleming, Fergal J., et al.. (2006). Tamoxifen-induced ER-α–SRC-3 interaction in HER2 positive human breast cancer; a possible mechanism for ER isoform specific recurrence. Endocrine Related Cancer. 13(4). 1135–1145. 33 indexed citations
14.
Kell, Malcolm, Daniel R. Lucey, Peter J. Holloway, et al.. (2004). Breast 10–21. British journal of surgery. 91(Supplement_1). 76–80.
15.
Myers, E., Fergal J. Fleming, Thomas B. Crotty, et al.. (2004). Inverse relationship between ER-β and SRC-1 predicts outcome in endocrine-resistant breast cancer. British Journal of Cancer. 91(9). 1687–1693. 83 indexed citations
16.
Buggy, Y., Teresa Maguire, G. McGreal, et al.. (2004). Overexpression of the Ets-1 transcription factor in human breast cancer. British Journal of Cancer. 91(7). 1308–1315. 54 indexed citations
17.
McKie, Norman, Y. Buggy, Catherine Duggan, et al.. (2003). Expression of ADAM‐9 mRNA and protein in human breast cancer. International Journal of Cancer. 105(6). 754–761. 116 indexed citations
18.
Dijkstra, B., et al.. (2003). Nipple Adenoma: A Differential Diagnosis for Paget's Disease. The Breast Journal. 9(4). 325–326. 16 indexed citations
19.
Léonard, David, Arnold Hill, Louise Kelly, et al.. (2002). Anti-human epidermal growth factor receptor 2 monoclonal antibody therapy for breast cancer. British journal of surgery. 89(3). 262–271. 42 indexed citations
20.
Hill, Arnold, H. P. Redmond, O. Austin, P. A. Grace, & D. Bouchier-Hayes. (1993). Granulocyte—macrophage colony-stimulating factor inhibits tumour growth. British journal of surgery. 80(12). 1543–1546. 19 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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