Yee Sun Tan

2.9k total citations · 1 hit paper
16 papers, 981 citations indexed

About

Yee Sun Tan is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Yee Sun Tan has authored 16 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Yee Sun Tan's work include Cancer-related molecular mechanisms research (5 papers), interferon and immune responses (4 papers) and RNA modifications and cancer (4 papers). Yee Sun Tan is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), interferon and immune responses (4 papers) and RNA modifications and cancer (4 papers). Yee Sun Tan collaborates with scholars based in United States, China and Singapore. Yee Sun Tan's co-authors include Yu L. Lei, Gregg L. Semenza, Sergio Rey, Ping Gao, David Z. Qian, Yunzhao R. Ren, Hans J. Hammers, Huafeng Zhang, Jun O. Liu and KangAe Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Yee Sun Tan

16 papers receiving 966 citations

Hit Papers

Digoxin and other cardiac glycosides inhibit HIF-1α synth... 2008 2026 2014 2020 2008 100 200 300 400 500
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. Digoxin and other cardiac glycosides inhibit HIF-1α synthesis and block tumor growth
    2008 520 citations Huafeng Zhang, David Z. Qian et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yee Sun Tan United States 11 523 432 222 201 93 16 981
Ebrahim Sakhinia Iran 22 681 1.3× 365 0.8× 266 1.2× 184 0.9× 91 1.0× 73 1.3k
Kai Doberstein Germany 19 524 1.0× 249 0.6× 299 1.3× 182 0.9× 116 1.2× 27 1.1k
Chaehwa Park South Korea 21 582 1.1× 359 0.8× 367 1.7× 153 0.8× 71 0.8× 45 1.1k
Ya‐Sian Chang Taiwan 21 700 1.3× 388 0.9× 251 1.1× 102 0.5× 160 1.7× 71 1.2k
Shanbao Cai United States 18 548 1.0× 328 0.8× 153 0.7× 88 0.4× 106 1.1× 35 864
Karl X. Knaup Germany 18 528 1.0× 442 1.0× 123 0.6× 145 0.7× 100 1.1× 29 1.1k
Renaud Grépin France 16 601 1.1× 278 0.6× 278 1.3× 150 0.7× 154 1.7× 26 917
Martine Charbonneau Canada 14 397 0.8× 266 0.6× 178 0.8× 93 0.5× 129 1.4× 19 827
Alice Banh United States 12 661 1.3× 441 1.0× 170 0.8× 162 0.8× 128 1.4× 14 1.1k

Countries citing papers authored by Yee Sun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yee Sun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yee Sun Tan

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

All Works

16 of 16 papers shown
1.
Xu, Bin, Yee Sun Tan, Grace A. Hile, et al.. (2024). A critical role for IFN-β signaling for IFN-κ induction in keratinocytes. PubMed. 2. 6 indexed citations
2.
Hao, Yuning, Yee Sun Tan, Jake J. Reske, et al.. (2020). Abstract B05: Induction of DNA damage in high-grade serous carcinoma induces type I interferon signaling. Clinical Cancer Research. 26(13_Supplement). B05–B05. 1 indexed citations
3.
Tan, Yee Sun & Yu L. Lei. (2019). Isolation of Tumor-Infiltrating Lymphocytes by Ficoll-Paque Density Gradient Centrifugation. Methods in molecular biology. 1960. 93–99. 43 indexed citations
4.
Tan, Yee Sun & Yu L. Lei. (2019). Generation and Culture of Mouse Embryonic Fibroblasts. Methods in molecular biology. 85–91. 30 indexed citations
5.
Tan, Yee Sun, Kanokwan Sansanaphongpricha, Yuying Xie, et al.. (2018). Mitigating SOX2-potentiated Immune Escape of Head and Neck Squamous Cell Carcinoma with a STING-inducing Nanosatellite Vaccine. Clinical Cancer Research. 24(17). 4242–4255. 124 indexed citations
6.
Lei, Yu L., Yuying Xie, Yee Sun Tan, et al.. (2016). Telltale tumor infiltrating lymphocytes (TIL) in oral, head & neck cancer. Oral Oncology. 61. 159–165. 62 indexed citations
7.
Ray, Paramita, Yee Sun Tan, Ranjit K. Mehta, et al.. (2016). Differential protein stability of EGFR mutants determines responsiveness to tyrosine kinase inhibitors. Oncotarget. 7(42). 68597–68613. 16 indexed citations
8.
Kim, Minjung, et al.. (2015). RAB14 and RAB5 Gtpases Regulate Human Erythropoiesis, Potentially Via Opposing Roles in Endosomal Recycling. Blood. 126(23). 937–937. 1 indexed citations
9.
Heiser, Diane, Yee Sun Tan, Ian M. Kaplan, et al.. (2014). Correlated miR-mRNA Expression Signatures of Mouse Hematopoietic Stem and Progenitor Cell Subsets Predict “Stemness” and “Myeloid” Interaction Networks. PLoS ONE. 9(4). e94852–e94852. 6 indexed citations
10.
Tan, Yee Sun, et al.. (2014). Regulation of RAB5C Is Important for the Growth Inhibitory Effects of MiR-509 in Human Precursor-B Acute Lymphoblastic Leukemia. PLoS ONE. 9(11). e111777–e111777. 24 indexed citations
11.
Kim, Minjung, Yee Sun Tan, Wen‐Chih Cheng, et al.. (2014). MIR144 and MIR451 regulate human erythropoiesis via RAB14. British Journal of Haematology. 168(4). 583–597. 47 indexed citations
12.
Tan, Yee Sun, et al.. (2013). MiR-144 and MiR-451 Regulate Human Erythropoiesis By Targeting RAB14. Blood. 122(21). 942–942. 4 indexed citations
13.
Ang, Keven, et al.. (2012). Mediator Acts Upstream of the Transcriptional Activator Gal4. PLoS Biology. 10(3). e1001290–e1001290. 13 indexed citations
14.
Sarkar, Kakali, Sergio Rey, Xianjie Zhang, et al.. (2011). Tie2-dependent knockout of HIF-1 impairs burn wound vascularization and homing of bone marrow-derived angiogenic cells. Cardiovascular Research. 93(1). 162–169. 22 indexed citations
15.
Zhang, Xianjie, Lixin Liu, Xiaofei Wei, et al.. (2010). Impaired angiogenesis and mobilization of circulating angiogenic cells in HIF-1α heterozygous-null mice after burn wounding. Wound Repair and Regeneration. 18(2). 193–201. 62 indexed citations
16.
Zhang, Huafeng, David Z. Qian, Yee Sun Tan, et al.. (2008). Digoxin and other cardiac glycosides inhibit HIF-1α synthesis and block tumor growth. Proceedings of the National Academy of Sciences. 105(50). 19579–19586. 520 indexed citations breakdown →

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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