Yvonne Tay

21.5k total citations · 8 hit papers
37 papers, 15.7k citations indexed

About

Yvonne Tay is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Yvonne Tay has authored 37 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 27 papers in Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in Yvonne Tay's work include Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (21 papers) and RNA modifications and cancer (12 papers). Yvonne Tay is often cited by papers focused on Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (21 papers) and RNA modifications and cancer (12 papers). Yvonne Tay collaborates with scholars based in Singapore, United States and Italy. Yvonne Tay's co-authors include Pier Paolo Pandolfi, Leonardo Salmena, Lev M. Kats, Laura Poliseno, John L. Rinn, Isidore Rigoutsos, Bing Lim, Andrew M. Thomson, Jia Jia Chan and Jinqiu Zhang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yvonne Tay

37 papers receiving 15.5k citations

Hit Papers

align trajectories sort by overperformance

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.

A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?

2011 5.6k citations Leonardo Salmena, Laura Poliseno et al. Cell profile →
The multilayered complexity of ceRNA crosstalk and competition

2014 3.1k citations Yvonne Tay, John L. Rinn et al. Nature profile →
A Pattern-Based Method for the Identification of MicroRNA Binding Sites and Their Corresponding Heteroduplexes

2006 1.6k citations Kevin C. Miranda, Toan Huynh et al. Cell profile →
MicroRNAs to Nanog, Oct4 and Sox2 coding regions modulate embryonic stem cell differentiation

2008 1.1k citations Yvonne Tay, Jinqiu Zhang et al. Nature profile →
Noncoding RNA:RNA Regulatory Networks in Cancer

2018 834 citations Jia Jia Chan, Yvonne Tay International Journal of Molecular Sciences profile →
Coding-Independent Regulation of the Tumor Suppressor PTEN by Competing Endogenous mRNAs

2011 821 citations Yvonne Tay, Lev M. Kats et al. Cell profile →
Oncogenic Role of Fusion-circRNAs Derived from Cancer-Associated Chromosomal Translocations

2016 600 citations Jlenia Guarnerio, Marco Bezzi et al. Cell profile →
In Vivo Identification of Tumor- Suppressive PTEN ceRNAs in an Oncogenic BRAF-Induced Mouse Model of Melanoma

2011 534 citations Florian A. Karreth, Yvonne Tay et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yvonne Tay Singapore	24	13.7k	13.2k	642	560	476	37	15.7k
Artemis G. Hatzigeorgiou Greece	47	12.5k 0.9×	10.7k 0.8×	998 1.6×	550 1.0×	579 1.2×	122	15.4k
Laura Poliseno Italy	22	9.5k 0.7×	8.7k 0.7×	476 0.7×	447 0.8×	316 0.7×	59	11.0k
Jin‐Wu Nam South Korea	27	9.0k 0.7×	7.6k 0.6×	974 1.5×	367 0.7×	351 0.7×	58	11.1k
Xiaowei Wang United States	37	6.9k 0.5×	5.4k 0.4×	770 1.2×	586 1.0×	548 1.2×	124	9.4k
Pieter Mestdagh Belgium	49	7.8k 0.6×	6.1k 0.5×	918 1.4×	616 1.1×	286 0.6×	147	9.9k
Lev M. Kats Australia	25	6.9k 0.5×	6.2k 0.5×	772 1.2×	357 0.6×	343 0.7×	38	8.8k
Sven Diederichs Germany	47	12.4k 0.9×	11.1k 0.8×	784 1.2×	1.2k 2.2×	758 1.6×	112	15.6k
Shenglin Huang China	51	9.5k 0.7×	8.2k 0.6×	759 1.2×	590 1.1×	414 0.9×	128	11.0k
Alessandro Fatica Italy	36	7.8k 0.6×	5.7k 0.4×	479 0.7×	174 0.3×	302 0.6×	67	8.9k
Leonardo Salmena Canada	31	13.9k 1.0×	9.0k 0.7×	1.5k 2.4×	1.0k 1.9×	839 1.8×	66	16.6k

Countries citing papers authored by Yvonne Tay

Since Specialization

Citations

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

Fields of papers citing papers by Yvonne Tay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yvonne Tay. 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 Yvonne Tay. The network helps show where Yvonne Tay may publish in the future.

Co-authorship network of co-authors of Yvonne Tay

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

All Works

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20 of 20 papers shown

Zhang, Ying, Seng Chuan Tang, Yichao Cai, et al.. (2024). Super-silencer perturbation by EZH2 and REST inhibition leads to large loss of chromatin interactions and reduction in cancer growth. Nature Structural & Molecular Biology. 32(1). 137–149. 3 indexed citations

Tay, Yvonne, et al.. (2023). Circular RNAs and Untranslated Regions in Acute Myeloid Leukemia. International Journal of Molecular Sciences. 24(4). 3215–3215. 1 indexed citations

Liao, Kuo‐Chieh, Xuping Xie, Xin Ni Lim, et al.. (2023). Dengue and Zika RNA-RNA interactomes reveal pro- and anti-viral RNA in human cells. Genome biology. 24(1). 279–279. 7 indexed citations

Tong, Qing, Hossein Tabatabaeian, Avencia Sánchez-Mejías, et al.. (2021). MiR-138 is a potent regulator of the heterogenous MYC transcript population in cancers. Oncogene. 41(8). 1178–1189. 11 indexed citations

Kwok, Zhi Hao, et al.. (2018). A non‐canonical tumor suppressive role for the long non‐coding RNA MALAT1 in colon and breast cancers. International Journal of Cancer. 143(3). 668–678. 65 indexed citations

Chan, Jia Jia & Yvonne Tay. (2018). Noncoding RNA:RNA Regulatory Networks in Cancer. International Journal of Molecular Sciences. 19(5). 1310–1310. 834 indexed citations breakdown →

Zarringhalam, Kourosh, et al.. (2017). Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach. Scientific Reports. 7(1). 7755–7755. 17 indexed citations

Guarnerio, Jlenia, Marco Bezzi, Jong Cheol Jeong, et al.. (2016). Oncogenic Role of Fusion-circRNAs Derived from Cancer-Associated Chromosomal Translocations. Cell. 165(2). 289–302. 600 indexed citations breakdown →

Tay, Yvonne & Pier Paolo Pandolfi. (2015). Posttranscriptional Regulation of PTEN by Competing Endogenous RNAs. Methods in molecular biology. 1388. 139–154. 3 indexed citations

10.

Tay, Yvonne, John L. Rinn, & Pier Paolo Pandolfi. (2014). The multilayered complexity of ceRNA crosstalk and competition. Nature. 505(7483). 344–352. 3072 indexed citations breakdown →

11.

Ala, Ugo, Florian A. Karreth, Carla Bosia, et al.. (2013). Integrated transcriptional and competitive endogenous RNA networks are cross-regulated in permissive molecular environments. Proceedings of the National Academy of Sciences. 110(18). 7154–7159. 265 indexed citations

12.

Tay, Yvonne, Su Jung Song, & Pier Paolo Pandolfi. (2013). The Lilliputians and the Giant: An Emerging Oncogenic microRNA Network that Suppresses the PTEN Tumor Suppressor In Vivo. MicroRNA. 2(2). 127–136. 11 indexed citations

13.

Wang, Guocan, Andrea Lunardi, Jiangwen Zhang, et al.. (2013). Zbtb7a suppresses prostate cancer through repression of a Sox9-dependent pathway for cellular senescence bypass and tumor invasion. Nature Genetics. 45(7). 739–746. 114 indexed citations

14.

Salmena, Leonardo, Laura Poliseno, Yvonne Tay, Lev M. Kats, & Pier Paolo Pandolfi. (2011). A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?. Cell. 146(3). 353–358. 5565 indexed citations breakdown →

15.

Tay, Yvonne, Candice Ho, Peter Dröge, & Farid J. Ghadessy. (2009). Selection of bacteriophage λ integrases with altered recombination specificity by in vitro compartmentalization. Nucleic Acids Research. 38(4). e25–e25. 22 indexed citations

16.

Tay, Yvonne, et al.. (2009). Insights into the Regulation of a Common Variant of HMGA2 Associated with Human Height During Embryonic Development. Stem Cell Reviews and Reports. 5(4). 328–333. 15 indexed citations

17.

Ahmed, Sohail, Chen Sok Lam, Anuradha Poonepalli, et al.. (2009). Transcription factors and neural stem cell self-renewal, growth and differentiation. Cell Adhesion & Migration. 3(4). 412–424. 55 indexed citations

18.

Tay, Yvonne, Jinqiu Zhang, Andrew M. Thomson, Bing Lim, & Isidore Rigoutsos. (2008). MicroRNAs to Nanog, Oct4 and Sox2 coding regions modulate embryonic stem cell differentiation. Nature. 455(7216). 1124–1128. 1117 indexed citations breakdown →

19.

Miranda, Kevin C., Toan Huynh, Yvonne Tay, et al.. (2006). A Pattern-Based Method for the Identification of MicroRNA Binding Sites and Their Corresponding Heteroduplexes. Cell. 126(6). 1203–1217. 1623 indexed citations breakdown →

20.

Tay, Yvonne, Kok Seong Lim, Fwu‐Shan Sheu, et al.. (2004). Do Mitochondria make Nitric Oxide? No?. Free Radical Research. 38(6). 591–599. 30 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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