Owen Ung

1.8k total citations
62 papers, 1.4k citations indexed

About

Owen Ung is a scholar working on Cancer Research, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Owen Ung has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cancer Research, 39 papers in Pathology and Forensic Medicine and 29 papers in Surgery. Recurrent topics in Owen Ung's work include Breast Cancer Treatment Studies (41 papers), Breast Lesions and Carcinomas (38 papers) and Breast Implant and Reconstruction (21 papers). Owen Ung is often cited by papers focused on Breast Cancer Treatment Studies (41 papers), Breast Lesions and Carcinomas (38 papers) and Breast Implant and Reconstruction (21 papers). Owen Ung collaborates with scholars based in Australia, New Zealand and United Kingdom. Owen Ung's co-authors include John Boyages, Richard Taylor, Boon Chua, Upali W Jayasinghe, Louise Koelmeyer, Michael Bilous, Elizabeth Salisbury, Richard Taylor, James French and Carson Leong and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Owen Ung

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Owen Ung Australia 21 787 697 624 555 90 62 1.4k
Jee Ye Kim South Korea 20 501 0.6× 506 0.7× 296 0.5× 478 0.9× 69 0.8× 109 1.3k
Sarah M. DeSnyder United States 23 1.5k 1.9× 1.3k 1.8× 887 1.4× 975 1.8× 26 0.3× 72 2.2k
Cristina Garusi Italy 22 891 1.1× 250 0.4× 415 0.7× 1.6k 2.8× 81 0.9× 48 1.8k
Antonio Toesca Italy 19 635 0.8× 351 0.5× 437 0.7× 597 1.1× 149 1.7× 43 1.1k
Ignacio Aranda Spain 22 271 0.3× 397 0.6× 357 0.6× 263 0.5× 120 1.3× 95 1.5k
Isabel Fonseca Portugal 27 295 0.4× 947 1.4× 398 0.6× 1.2k 2.2× 197 2.2× 84 1.9k
Stephanie A. Valente United States 17 399 0.5× 348 0.5× 201 0.3× 370 0.7× 20 0.2× 74 872
Jerzy Mituś Poland 19 485 0.6× 254 0.4× 704 1.1× 414 0.7× 518 5.8× 90 1.5k
Esther M. Heuts Netherlands 26 678 0.9× 541 0.8× 378 0.6× 879 1.6× 28 0.3× 70 1.7k
Winfried Alberti Germany 21 306 0.4× 385 0.6× 359 0.6× 740 1.3× 47 0.5× 38 1.6k

Countries citing papers authored by Owen Ung

Since Specialization
Citations

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

Fields of papers citing papers by Owen Ung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Owen Ung

This figure shows the co-authorship network connecting the top 25 collaborators of Owen Ung. A scholar is included among the top collaborators of Owen Ung 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 Owen Ung. Owen Ung 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.
Wagels, Michael, et al.. (2023). Scaffold-guide breast tissue engineering: the future of breast implants. SHILAP Revista de lepidopterología. 6(2). 1–3. 2 indexed citations
2.
Campbell, Ian, Neil Wetzig, Owen Ung, et al.. (2023). 10-Year axillary recurrence in the RACS SNAC1 randomised trial of sentinel lymph node-based management versus routine axillary lymph node dissection. The Breast. 70. 70–75. 3 indexed citations
3.
Ung, Owen, et al.. (2020). A Novel Breast‐Conserving Surgical Technique in the Management of Phyllodes Tumours of the Breast. World Journal of Surgery. 44(12). 4149–4152. 2 indexed citations
4.
Ung, Owen, et al.. (2018). Nipple Reconstruction: A Regenerative Medicine Approach Using 3D-Printed Tissue Scaffolds. Tissue Engineering Part B Reviews. 25(2). 126–134. 14 indexed citations
5.
Chhaya, Mohit P., et al.. (2017). Breast Augmentation and Reconstruction from a Regenerative Medicine Point of View: State of the Art and Future Perspectives. Tissue Engineering Part B Reviews. 23(3). 281–293. 46 indexed citations
6.
Kilbreath, Sharon L., Kathryn M. Refshauge, Jane Beith, et al.. (2016). Risk factors for lymphoedema in women with breast cancer: A large prospective cohort. The Breast. 28. 29–36. 121 indexed citations
7.
8.
Gill, P. Grantley, Melissa Bochner, Val Gebski, et al.. (2014). Identification of the sentinel lymph node in the SNAC-1 trial. ANZ Journal of Surgery. 85(1-2). 58–63. 10 indexed citations
9.
Kilbreath, Sharon L., Kathryn M. Refshauge, Leigh C. Ward, et al.. (2013). Factors Affecting the Preoperative and Postoperative Extracellular Fluid in the Arm on the Side of Breast Cancer: A Cohort Study. Lymphatic Research and Biology. 11(2). 66–71. 10 indexed citations
10.
Coombs, Nathan, John Boyages, James French, & Owen Ung. (2009). Internal mammary sentinel nodes: Ignore, irradiate or operate?. European Journal of Cancer. 45(5). 789–794. 33 indexed citations
11.
Ung, Owen, Mona P. Tan, Boon Chua, & Bruce Barraclough. (2006). COMPLETE AXILLARY DISSECTION: A TECHNIQUE THAT STILL HAS RELEVANCE IN CONTEMPORARY MANAGEMENT OF BREAST CANCER. ANZ Journal of Surgery. 76(6). 518–521. 20 indexed citations
12.
Ha, Tam, Philippa Lyons‐Wall, Douglas E. Moore, et al.. (2006). Phytoestrogens and Indicators of Breast Cancer Prognosis. Nutrition and Cancer. 56(1). 3–10. 13 indexed citations
13.
Coombs, Nathan, et al.. (2006). TUMOUR SIZE AS A PREDICTOR OF AXILLARY NODE METASTASES IN PATIENTS WITH BREAST CANCER. ANZ Journal of Surgery. 76(11). 1002–1006. 23 indexed citations
14.
Nowak, Anna K., Carolyn Hargreaves, G Gill, et al.. (2004). Health-related quality of life (HRQL) before and 1 month after axillary surgery in a randomized trial of sentinel node (SN) biopsy versus axillary clearance (AC): the SNAC Trial.. Breast Cancer Research and Treatment. 88. 2 indexed citations
15.
Ung, Owen. (2004). Australasian Experience and Trials in Sentinel Lymph Node Biopsy: The RACS SNAC Trial. Asian Journal of Surgery. 27(4). 284–290. 35 indexed citations
16.
Boyages, John, et al.. (2002). The effect of margins on ipsilateral breast tumour recurrence after breast, conservation therapy for node-negative breast cancer.. Breast Cancer Research and Treatment. 76. 11 indexed citations
17.
Chua, Boon, Owen Ung, Richard Taylor, et al.. (2001). Treatment implications of a positive sentinel lymph node biopsy for patients with early-stage breast carcinoma. Cancer. 92(7). 1769–1774. 28 indexed citations
18.
Chua, Boon, Owen Ung, Richard Taylor, & John Boyages. (2001). Frequency and predictors of axillary lymph node metastases in invasive breast cancer. ANZ Journal of Surgery. 71(12). 723–728. 108 indexed citations
19.
Nordin, Abdul Jalil, George Larcos, & Owen Ung. (2001). Dual phase 99m‐technetium Sestamibi imaging with single photon emission computed tomography in primary hyperparathyroidism: Influence on surgery. Australasian Radiology. 45(1). 31–34. 4 indexed citations
20.
Greenberg, Merle L., et al.. (1997). Is there a role for fine‐needle aspiration in radial scar/complex sclerosing lesions of the breast?. Diagnostic Cytopathology. 16(6). 537–542. 1 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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