Wai Jin Tan

556 total citations
10 papers, 275 citations indexed

About

Wai Jin Tan is a scholar working on Pathology and Forensic Medicine, Oncology and Dermatology. According to data from OpenAlex, Wai Jin Tan has authored 10 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Oncology and 3 papers in Dermatology. Recurrent topics in Wai Jin Tan's work include Breast Lesions and Carcinomas (6 papers), Cancer and Skin Lesions (3 papers) and Cancer Cells and Metastasis (3 papers). Wai Jin Tan is often cited by papers focused on Breast Lesions and Carcinomas (6 papers), Cancer and Skin Lesions (3 papers) and Cancer Cells and Metastasis (3 papers). Wai Jin Tan collaborates with scholars based in Singapore and Hong Kong. Wai Jin Tan's co-authors include Min‐Han Tan, Puay Hoon Tan, Aye Aye Thike, Shengyong Ng, Motoichi Kurisawa, Boon‐Huat Bay, Jeffrey Chun Tatt Lim, Valerie Cui Yun Koh, Xiaona Wei and Yukti Choudhury and has published in prestigious journals such as Biomaterials, Journal of Clinical Pathology and Molecular Cancer Therapeutics.

In The Last Decade

Wai Jin Tan

10 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wai Jin Tan Singapore 10 125 87 87 82 61 10 275
Ruoji Zhou United States 11 212 1.7× 254 2.9× 189 2.2× 91 1.1× 23 0.4× 28 483
Emanuela Scavo Italy 5 142 1.1× 194 2.2× 168 1.9× 29 0.4× 15 0.2× 5 358
Keith Wells United States 7 187 1.5× 184 2.1× 57 0.7× 24 0.3× 25 0.4× 11 364
Joseph E. Grossman United States 8 193 1.5× 62 0.7× 49 0.6× 18 0.2× 38 0.6× 30 290
Veronika Mančíková Spain 11 127 1.0× 143 1.6× 103 1.2× 21 0.3× 17 0.3× 15 336
Anaïs Lagrange France 7 189 1.5× 141 1.6× 41 0.5× 50 0.6× 20 0.3× 10 383
Manuela Lacerda Portugal 11 149 1.2× 170 2.0× 141 1.6× 86 1.0× 33 0.5× 14 398
Amir H. Ameri United States 9 102 0.8× 153 1.8× 86 1.0× 25 0.3× 9 0.1× 14 390

Countries citing papers authored by Wai Jin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Wai Jin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai Jin Tan. 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 Wai Jin Tan. The network helps show where Wai Jin Tan may publish in the future.

Co-authorship network of co-authors of Wai Jin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Wai Jin Tan. A scholar is included among the top collaborators of Wai Jin Tan 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 Wai Jin Tan. Wai Jin Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ng, Shengyong, et al.. (2019). Mechanically and chemically defined hydrogel matrices for patient-derived colorectal tumor organoid culture. Biomaterials. 219. 119400–119400. 83 indexed citations
2.
Phyo, Wai Min, Hao Yun Yap, Xiaona Wei, et al.. (2017). Metformin Inhibits Cellular Proliferation and Bioenergetics in Colorectal Cancer Patient–Derived Xenografts. Molecular Cancer Therapeutics. 16(9). 2035–2044. 28 indexed citations
3.
Tan, Wai Jin, Igor Cima, Yukti Choudhury, et al.. (2016). A five-gene reverse transcription-PCR assay for pre-operative classification of breast fibroepithelial lesions. Breast Cancer Research. 18(1). 31–31. 19 indexed citations
4.
Tan, Wai Jin, Jason Yongsheng Chan, Aye Aye Thike, et al.. (2016). MED12 protein expression in breast fibroepithelial lesions: correlation with mutation status and oestrogen receptor expression. Journal of Clinical Pathology. 69(10). 858–865. 28 indexed citations
5.
Lim, Jeffrey Chun Tatt, et al.. (2015). Prognostic significance of epithelial–mesenchymal transition proteins Twist and Foxc2 in phyllodes tumours of the breast. Breast Cancer Research and Treatment. 150(1). 19–29. 20 indexed citations
6.
Koh, Valerie Cui Yun, Jeffrey Chun Tatt Lim, Aye Aye Thike, et al.. (2015). Characteristics and behaviour of screen-detected ductal carcinoma in situ of the breast: comparison with symptomatic patients. Breast Cancer Research and Treatment. 152(2). 293–304. 22 indexed citations
7.
Tan, Wai Jin, Jie Yan, Shuoyu Xu, et al.. (2015). Second harmonic generation microscopy is a novel technique for differential diagnosis of breast fibroepithelial lesions. Journal of Clinical Pathology. 68(12). 1033–1035. 11 indexed citations
8.
Tan, Wai Jin, Johnathan C. Lai, Aye Aye Thike, et al.. (2014). Novel genetic aberrations in breast phyllodes tumours: comparison between prognostically distinct groups. Breast Cancer Research and Treatment. 145(3). 635–645. 23 indexed citations
9.
Tan, Wai Jin, Aye Aye Thike, Gary M. Tse, et al.. (2014). CD117 expression in breast phyllodes tumors correlates with adverse pathologic parameters and reduced survival. Modern Pathology. 28(3). 352–358. 20 indexed citations
10.
Tan, Wai Jin, Aye Aye Thike, Boon‐Huat Bay, & Puay Hoon Tan. (2013). Immunohistochemical expression of homeoproteins Six1 and Pax3 in breast phyllodes tumours correlates with histological grade and clinical outcome. Histopathology. 64(6). 807–817. 21 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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