Siu‐Ki Chan

1.5k total citations
43 papers, 1.1k citations indexed

About

Siu‐Ki Chan is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Siu‐Ki Chan has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 16 papers in Cancer Research and 12 papers in Molecular Biology. Recurrent topics in Siu‐Ki Chan's work include Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (11 papers) and Cancer Cells and Metastasis (8 papers). Siu‐Ki Chan is often cited by papers focused on Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (11 papers) and Cancer Cells and Metastasis (8 papers). Siu‐Ki Chan collaborates with scholars based in China, Hong Kong and Singapore. Siu‐Ki Chan's co-authors include Gary M. Tse, Julia Y. Tsang, Yun‐Bi Ni, Sai‐Yin Cheung, Mumin Shao, John K. C. Chan, Wah Cheuk, Puay Hoon Tan, Jintao Hu and Yuhua Huang and has published in prestigious journals such as Cancer Research, The American Journal of Surgical Pathology and Journal of Clinical Pathology.

In The Last Decade

Siu‐Ki Chan

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siu‐Ki Chan China 20 565 340 298 248 206 43 1.1k
Yasuyo Ohi Japan 21 635 1.1× 314 0.9× 474 1.6× 177 0.7× 195 0.9× 60 1.2k
Sara Cresta Italy 20 597 1.1× 422 1.2× 193 0.6× 461 1.9× 233 1.1× 55 1.3k
Xiaopei Zhu United States 15 354 0.6× 344 1.0× 107 0.4× 484 2.0× 172 0.8× 22 1.1k
Christina MacMillan Canada 20 645 1.1× 499 1.5× 224 0.8× 138 0.6× 200 1.0× 53 1.5k
Leonardo Faoro United States 16 691 1.2× 686 2.0× 192 0.6× 344 1.4× 202 1.0× 36 1.6k
Elizabeth Crowley United States 16 473 0.8× 255 0.8× 112 0.4× 242 1.0× 89 0.4× 39 1.0k
Soo Jeong Nam South Korea 21 795 1.4× 489 1.4× 289 1.0× 270 1.1× 485 2.4× 49 1.5k
Amélie Lusque France 16 528 0.9× 190 0.6× 210 0.7× 287 1.2× 68 0.3× 61 929
Émpar Mayordomo Spain 12 428 0.8× 277 0.8× 153 0.5× 264 1.1× 112 0.5× 16 829
Michela Manzotti Italy 18 548 1.0× 264 0.8× 189 0.6× 411 1.7× 78 0.4× 27 956

Countries citing papers authored by Siu‐Ki Chan

Since Specialization
Citations

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

Fields of papers citing papers by Siu‐Ki Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siu‐Ki Chan. 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 Siu‐Ki Chan. The network helps show where Siu‐Ki Chan may publish in the future.

Co-authorship network of co-authors of Siu‐Ki Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Siu‐Ki Chan. A scholar is included among the top collaborators of Siu‐Ki Chan 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 Siu‐Ki Chan. Siu‐Ki Chan 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.
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
2.
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
3.
Hu, Jintao, Julia Y. Tsang, Siu‐Ki Chan, et al.. (2020). Improved Prognostication for the Updated AJCC Breast Cancer Pathological Prognostic Staging Varied in Higher-Stage Groups. Clinical Breast Cancer. 20(3). 253–261.e7. 7 indexed citations
4.
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
5.
Ni, Yun‐Bi, Julia Y. Tsang, Mumin Shao, et al.. (2018). GATA-3 is superior to GCDFP-15 and mammaglobin to identify primary and metastatic breast cancer. Breast Cancer Research and Treatment. 169(1). 25–32. 58 indexed citations
6.
Tsang, Julia Y., Michelle A. Lee, Joshua Li, et al.. (2018). Proteolytic cleavage of amyloid precursor protein by ADAM10 mediates proliferation and migration in breast cancer. EBioMedicine. 38. 89–99. 39 indexed citations
7.
Tsang, Julia Y., Michelle A. Lee, Yun‐Bi Ni, et al.. (2018). The Clinical Value of PELP1 for Breast Cancer: A Comparison with Multiple Cancers and Analysis in Breast Cancer Subtypes. Cancer Research and Treatment. 51(2). 706–717. 12 indexed citations
8.
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
9.
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
10.
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
11.
Tsang, Julia Y., Yun‐Bi Ni, Siu‐Ki Chan, et al.. (2014). Androgen Receptor Expression Shows Distinctive Significance in ER Positive and Negative Breast Cancers. Annals of Surgical Oncology. 21(7). 2218–2228. 59 indexed citations
12.
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
13.
Huang, Wei, et al.. (2013). Human placenta as an ex vivo vascular model for neurointerventional research. Journal of NeuroInterventional Surgery. 6(5). 394–399. 18 indexed citations
14.
Tsang, Julia Y., Yun‐Bi Ni, Siu‐Ki Chan, et al.. (2013). CX3CL1 expression is associated with poor outcome in breast cancer patients. Breast Cancer Research and Treatment. 140(3). 495–504. 45 indexed citations
15.
Tsang, Julia Y., et al.. (2013). P-cadherin and vimentin are useful basal markers in breast cancers. Human Pathology. 44(12). 2782–2791. 11 indexed citations
16.
Huang, Yuhua, Yun‐Bi Ni, Julia Y. Tsang, et al.. (2013). Expression of mammaglobin and gross cystic disease fluid protein-15 in breast carcinomas. Human Pathology. 44(7). 1241–1250. 53 indexed citations
17.
Tsang, Julia Y., Yun‐Bi Ni, Alex M C Yu, et al.. (2012). Relationship between columnar cell changes and low-grade carcinoma in situ of the breast—a cytogenetic study. Human Pathology. 43(11). 1924–1931. 4 indexed citations
18.
Chan, Siu‐Ki, et al.. (2011). The clinical significance of in-depth pathological assessment of extraprostatic extension and margin status in radical prostatectomies for prostate cancer. Prostate Cancer and Prostatic Diseases. 14(4). 307–312. 16 indexed citations
19.
Chan, Siu‐Ki, Philip C.W. Lui, Puay‐Hoon Tan, et al.. (2011). Increased alpha‐B‐crystallin expression in mammary metaplastic carcinomas. Histopathology. 59(2). 247–255. 16 indexed citations
20.
Tse, Gary M., Puay‐Hoon Tan, Maribel D. Lacambra, et al.. (2010). Papillary lesions of the breast—accuracy of core biopsy. Histopathology. 56(4). 481–488. 26 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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