Yen Y. Tan

6.8k total citations
35 papers, 807 citations indexed

About

Yen Y. Tan is a scholar working on Pathology and Forensic Medicine, Oncology and Cancer Research. According to data from OpenAlex, Yen Y. Tan has authored 35 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 12 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Yen Y. Tan's work include BRCA gene mutations in cancer (11 papers), Genetic factors in colorectal cancer (7 papers) and Cancer Genomics and Diagnostics (7 papers). Yen Y. Tan is often cited by papers focused on BRCA gene mutations in cancer (11 papers), Genetic factors in colorectal cancer (7 papers) and Cancer Genomics and Diagnostics (7 papers). Yen Y. Tan collaborates with scholars based in Austria, Australia and Singapore. Yen Y. Tan's co-authors include Maryam Hazly Hilmy, Sathiyamoorthy Selvarajan, Thiyagarajan Jayabaskar, Boon‐Huat Bay, Hwei-Yee Lee, Khoon-Leong Chuah, Puay‐Hoon Tan, Hung Huynh, Puay‐Hoon Tan and Christian F. Singer and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Yen Y. Tan

32 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yen Y. Tan Austria 13 519 347 333 218 158 35 807
Masamichi Bamba Japan 15 226 0.4× 83 0.2× 92 0.3× 365 1.7× 157 1.0× 39 738
Emanuela Lucci‐Cordisco Italy 16 456 0.9× 44 0.1× 259 0.8× 103 0.5× 247 1.6× 41 742
Tracie Wallis United States 13 352 0.7× 109 0.3× 392 1.2× 135 0.6× 148 0.9× 16 639
Maegan E. Roberts United States 14 411 0.8× 42 0.1× 212 0.6× 139 0.6× 175 1.1× 33 723
Enno Dreef Netherlands 11 204 0.4× 81 0.2× 112 0.3× 46 0.2× 190 1.2× 14 489
Vera Schelfhout Belgium 10 128 0.2× 73 0.2× 157 0.5× 64 0.3× 186 1.2× 13 474
Francesca Pietribiasi Italy 12 223 0.4× 85 0.2× 199 0.6× 110 0.5× 191 1.2× 24 544
Tülay Canda Türkiye 13 143 0.3× 66 0.2× 141 0.4× 79 0.4× 106 0.7× 46 463
Zhong-Yu Yuan China 11 116 0.2× 76 0.2× 180 0.5× 72 0.3× 358 2.3× 15 627
Assia Bassarova Norway 15 112 0.2× 105 0.3× 108 0.3× 44 0.2× 193 1.2× 26 495

Countries citing papers authored by Yen Y. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yen Y. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yen Y. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yen Y. Tan. A scholar is included among the top collaborators of Yen Y. 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 Yen Y. Tan. Yen Y. Tan 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
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Pradère, Benjamin, Paweł Rajwa, Gero Kramer, et al.. (2023). Performance of clinical risk scores and prediction models to identify pathogenic germline variants in patients with advanced prostate cancer. World Journal of Urology. 41(8). 2091–2097. 1 indexed citations
4.
Bekos, Christine, Christoph Grimm, Stephan Polterauer, et al.. (2021). Reliability of Tumor Testing Compared to Germline Testing for Detecting BRCA1 and BRCA2 Mutations in Patients with Epithelial Ovarian Cancer. Journal of Personalized Medicine. 11(7). 593–593. 10 indexed citations
5.
Holzer, Iris, et al.. (2020). Receptor Discordance of Metastatic Breast Cancer Depending on the Molecular Subtype. Breast Care. 15(6). 648–654. 4 indexed citations
6.
Tan, Yen Y., et al.. (2019). RESEARCH ARTICLE: Using pharmacists’ baseline knowledge to guide implementation of preceptor training at an acute-care hospital. Pharmacy Education. 19(1). 222–231. 1 indexed citations
7.
Nagle, Christina M., Tracy A. O’Mara, Yen Y. Tan, et al.. (2018). Endometrial cancer risk and survival by tumor MMR status. Journal of Gynecologic Oncology. 29(3). e39–e39. 31 indexed citations
8.
Tea, Muy‐Kheng M., Yen Y. Tan, Ella Asseryanis, et al.. (2018). Improving comprehension of genetic counseling for hereditary breast and ovarian cancer clients with a visual tool. PLoS ONE. 13(7). e0200559–e0200559. 9 indexed citations
9.
Singer, Christian F., Yen Y. Tan, Florian Fitzal, et al.. (2017). Pathological Complete Response to Neoadjuvant Trastuzumab Is Dependent on HER2/CEP17 Ratio in HER2-Amplified Early Breast Cancer. Clinical Cancer Research. 23(14). 3676–3683. 32 indexed citations
10.
Singer, Christian F., Yen Y. Tan, & Christine Rappaport. (2017). Identification and management of familial breast cancer in Austria. Hormone Molecular Biology and Clinical Investigation. 32(2). 2 indexed citations
11.
Gschwantler‐Kaulich, Daphne, Yen Y. Tan, Gernot Hudelist, et al.. (2017). PTEN expression as a predictor for the response to trastuzumab-based therapy in Her-2 overexpressing metastatic breast cancer. PLoS ONE. 12(3). e0172911–e0172911. 10 indexed citations
12.
Gschwantler‐Kaulich, Daphne, Thomas W. Grunt, Mario Mairhofer, et al.. (2017). Estradiol impairs the antiproliferative and proapoptotic effect of Zoledronic acid in hormone sensitive breast cancer cells in vitro. PLoS ONE. 12(9). e0185566–e0185566. 7 indexed citations
13.
Hlavatý, Juraj, Yen Y. Tan, Christian F. Singer, et al.. (2017). Expression of ezrin and moesin in primary breast carcinoma and matched lymph node metastases. Clinical & Experimental Metastasis. 34(5). 333–344. 12 indexed citations
14.
Johnatty, Sharon E., Yen Y. Tan, Daniel D. Buchanan, et al.. (2017). Family history of cancer predicts endometrial cancer risk independently of Lynch Syndrome: Implications for genetic counselling. Gynecologic Oncology. 147(2). 381–387. 29 indexed citations
15.
Pohlodek, Kamil, Yen Y. Tan, Christian F. Singer, & Daphne Gschwantler‐Kaulich. (2016). Cadherin-11 expression is upregulated in invasive human breast cancer. Oncology Letters. 12(6). 4393–4398. 17 indexed citations
16.
Tan, Yen Y. & Lisa Fitzgerald. (2014). Barriers and Motivators for Referral of Patients with Suspected Lynch Syndrome to Cancer Genetic Services: A Qualitative Study. Journal of Personalized Medicine. 4(1). 20–34. 17 indexed citations
17.
Tan, Yen Y., Julie McGaughran, Kaltin Ferguson, et al.. (2012). Improving identification of lynch syndrome patients: A comparison of research data with clinical records. International Journal of Cancer. 132(12). 2876–2883. 24 indexed citations
18.
Tan, Puay‐Hoon, Thiyagarajan Jayabaskar, Khoon-Leong Chuah, et al.. (2005). Phyllodes Tumors of the Breast. American Journal of Clinical Pathology. 123(4). 529–540. 182 indexed citations
19.
Tan, Puay‐Hoon, Thiyagarajan Jayabaskar, George W. Yip, et al.. (2005). p53 and c-kit (CD117) protein expression as prognostic indicators in breast phyllodes tumors: a tissue microarray study. Modern Pathology. 18(12). 1527–1534. 81 indexed citations
20.
Tan, Puay‐Hoon, Thiyagarajan Jayabaskar, Khoon-Leong Chuah, et al.. (2005). Phyllodes Tumors of the Breast: The Role of Pathologic Parameters. American Journal of Clinical Pathology. 123(4). 529–540. 206 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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