Julia Y. Tsang

4.8k total citations · 1 hit paper
115 papers, 3.5k citations indexed

About

Julia Y. Tsang is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Julia Y. Tsang has authored 115 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Oncology, 34 papers in Pathology and Forensic Medicine and 30 papers in Cancer Research. Recurrent topics in Julia Y. Tsang's work include Breast Lesions and Carcinomas (31 papers), Breast Cancer Treatment Studies (22 papers) and Cancer and Skin Lesions (18 papers). Julia Y. Tsang is often cited by papers focused on Breast Lesions and Carcinomas (31 papers), Breast Cancer Treatment Studies (22 papers) and Cancer and Skin Lesions (18 papers). Julia Y. Tsang collaborates with scholars based in Hong Kong, China and Singapore. Julia Y. Tsang's co-authors include Gary M. Tse, Robert I. Lechler, Yun‐Bi Ni, Siu‐Ki Chan, Giovanna Lombardi, Joshua Li, Shuiping Jiang, Marina Garín, Déla Golshayan and Mumin Shao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Gastroenterology.

In The Last Decade

Julia Y. Tsang

111 papers receiving 3.5k citations

Hit Papers

Molecular Classification of Breast Cancer 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Molecular Classification of Breast Cancer
    2019 348 citations Julia Y. Tsang, Gary M. Tse profile →

Peers

Julia Y. Tsang
Carol Beadling United States
Noelyn M. Kljavin United States
Takayuki Ueno Japan
Adam I. Riker United States
Samia Mourah France
Martin Oft United States
Reinhard von Wasielewski Germany
Luigi Del Vecchio Italy
David Spaner Canada
Eddy C. Hsueh United States
Carol Beadling United States
Julia Y. Tsang
Citations per year, relative to Julia Y. Tsang Julia Y. Tsang (= 1×) peers Carol Beadling

Countries citing papers authored by Julia Y. Tsang

Since Specialization
Citations

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

Fields of papers citing papers by Julia Y. Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Y. Tsang. 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 Julia Y. Tsang. The network helps show where Julia Y. Tsang may publish in the future.

Co-authorship network of co-authors of Julia Y. Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Y. Tsang. A scholar is included among the top collaborators of Julia Y. Tsang 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 Julia Y. Tsang. Julia Y. Tsang 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.
Zheng, Xi, et al.. (2025). Ray-Aided Quadruple Affiliation Network for Calculating Tumor-Stroma Ratios in Breast Cancers. IEEE Transactions on Image Processing. 34. 2811–2825.
2.
3.
Lee, Conrad, et al.. (2024). Clinical values of nuclear morphometric analysis in fibroepithelial lesions. Breast Cancer Research. 26(1). 156–156.
4.
Tsang, Julia Y., et al.. (2024). TRPS1 is a promising marker for all subtypes of breast cancer. Histopathology. 84(5). 822–836. 9 indexed citations
5.
Chan, Ronald, Julia Y. Tsang, Yun‐Bi Ni, et al.. (2023). Spatial Distribution and Densities of CD103+ and FoxP3+ Tumor Infiltrating Lymphocytes by Digital Analysis for Outcome Prediction in Breast Cancer. The Oncologist. 29(3). e299–e308. 7 indexed citations
6.
Li, Joshua, et al.. (2022). Comparison of GATA3, GCDFP15, Mammaglobin and SOX10 Immunocytochemistry in Aspirates of Metastatic Breast Cancer. SHILAP Revista de lepidopterología. 3(4). 219–227. 3 indexed citations
7.
8.
Li, Joshua, et al.. (2022). Tubular Adenomas of the Breast Are Cytologically Distinct from Fibroadenomas. Acta Cytologica. 67(3). 219–229. 2 indexed citations
9.
Tsang, Julia Y., et al.. (2020). INSM1 is a novel prognostic neuroendocrine marker for luminal B breast cancer. Pathology. 53(2). 170–178. 17 indexed citations
10.
Tsang, Julia Y., et al.. (2020). The Clinical Significance of Neuroendocrine Features in Invasive Breast Carcinomas. The Oncologist. 25(9). e1318–e1329. 20 indexed citations
11.
Liu, Ming, Julia Y. Tsang, Michelle Lee, et al.. (2018). CD147 expression is associated with poor overall survival in chemotherapy treated triple-negative breast cancer. Journal of Clinical Pathology. 71(11). 1007–1014. 12 indexed citations
12.
Co, Michael, Clement Chen, Julia Y. Tsang, Gary M. Tse, & Ava Kwong. (2017). Mammary phyllodes tumour: a 15-year multicentre clinical review. Journal of Clinical Pathology. 71(6). 493–497. 33 indexed citations
13.
Tsang, Julia Y., Yun‐Bi Ni, Jintao Hu, et al.. (2017). Expression and Clinical Significance of Herpes Virus Entry Mediator (HVEM) in Breast Cancer. Annals of Surgical Oncology. 24(13). 4042–4050. 31 indexed citations
14.
Yu, Shuangni, Joshua Li, Julia Y. Tsang, et al.. (2017). Atypical aspirates of the breast: a dilemma in current cytology practice. Journal of Clinical Pathology. 70(12). 1024–1032. 10 indexed citations
15.
Shi, Yujie, Julia Y. Tsang, Yun‐Bi Ni, & Gary M. Tse. (2017). Intratumoral Heterogeneity in Breast Cancer: A Comparison of Primary and Metastatic Breast Cancers. The Oncologist. 22(4). 487–490. 18 indexed citations
16.
Zhang, Hong, Julia Y. Tsang, Yun‐Bi Ni, et al.. (2016). Hyaluronan synthase 2 is an adverse prognostic marker in androgen receptor-negative breast cancer. Journal of Clinical Pathology. 69(12). 1055–1062. 9 indexed citations
17.
Tsang, Julia Y., et al.. (2015). Bcl2 and Ki67 refine prognostication in luminal breast cancers. Breast Cancer Research and Treatment. 149(3). 631–643. 13 indexed citations
18.
Ni, Yun‐Bi, Julia Y. Tsang, Siu‐Ki Chan, et al.. (2013). Fibrotic Focus in Breast Carcinomas: Relationship with Prognostic Parameters and Biomarkers. Annals of Surgical Oncology. 20(9). 2842–2849. 40 indexed citations
19.
Tsang, Julia Y., et al.. (2007). In-vitro generated human CD4(+)CD25(high) regulatory T cells with indirect allospecificity as potential patient-specific reagents to promote donor-specific transplantation tolerance. American Journal of Transplantation. 7. 7 indexed citations
20.
Halligan, Steve, et al.. (2005). External validation of computer-assisted reading for CT colonography. UCL Discovery (University College London). 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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