Yen-Sin Ang

4.8k total citations · 3 hit papers
13 papers, 3.5k citations indexed

About

Yen-Sin Ang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Yen-Sin Ang has authored 13 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Yen-Sin Ang's work include Pluripotent Stem Cells Research (10 papers), CRISPR and Genetic Engineering (6 papers) and MicroRNA in disease regulation (3 papers). Yen-Sin Ang is often cited by papers focused on Pluripotent Stem Cells Research (10 papers), CRISPR and Genetic Engineering (6 papers) and MicroRNA in disease regulation (3 papers). Yen-Sin Ang collaborates with scholars based in United States, Singapore and United Kingdom. Yen-Sin Ang's co-authors include Wai Leong Tam, Bing Lim, Yvonne Tay, Andrew M. Thomson, Isidore Rigoutsos, Toan Huynh, Kevin C. Miranda, Deepak Srivastava, Huck‐Hui Ng and Tamer Mohamed and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Yen-Sin Ang

13 papers receiving 3.4k citations

Hit Papers

A Pattern-Based Method fo... 2005 2026 2012 2019 2006 2005 2015 500 1000 1.5k
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. 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 →
  2. Reciprocal Transcriptional Regulation of Pou5f1 and Sox2 via the Oct4/Sox2 Complex in Embryonic Stem Cells
    2005 534 citations Yuin‐Han Loh, Wensheng Zhang et al. Molecular and Cellular Biology profile →
  3. Contractility of single cardiomyocytes differentiated from pluripotent stem cells depends on physiological shape and substrate stiffness
    2015 352 citations Alexandre J. S. Ribeiro, Yen-Sin Ang 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
Yen-Sin Ang United States 12 2.8k 1.5k 417 297 188 13 3.5k
Karin A. Fischer United States 19 1.7k 0.6× 592 0.4× 364 0.9× 240 0.8× 254 1.4× 23 2.1k
Corinne Betts United Kingdom 19 5.0k 1.8× 2.1k 1.4× 174 0.4× 519 1.7× 166 0.9× 30 5.3k
Jason A. West United States 15 4.3k 1.5× 967 0.6× 513 1.2× 349 1.2× 185 1.0× 19 4.7k
John P. Cassady United States 15 6.9k 2.4× 2.8k 1.8× 622 1.5× 464 1.6× 417 2.2× 20 7.8k
Mohammadsharif Tabebordbar United States 12 2.9k 1.0× 648 0.4× 309 0.7× 135 0.5× 108 0.6× 15 3.2k
Guillaume Arras France 8 2.9k 1.0× 1.4k 1.0× 81 0.2× 318 1.1× 73 0.4× 9 3.1k
Xiaodong Zhu China 28 2.2k 0.8× 593 0.4× 144 0.3× 136 0.5× 162 0.9× 69 3.1k
Joan M. Lemire United States 29 2.0k 0.7× 377 0.2× 593 1.4× 168 0.6× 439 2.3× 47 3.3k
Zoraida Andreu Spain 12 1.7k 0.6× 715 0.5× 100 0.2× 154 0.5× 130 0.7× 19 2.0k
Albert Ruzo United States 20 1.4k 0.5× 308 0.2× 215 0.5× 298 1.0× 127 0.7× 25 1.9k

Countries citing papers authored by Yen-Sin Ang

Since Specialization
Citations

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

Fields of papers citing papers by Yen-Sin Ang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen-Sin Ang. 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-Sin Ang. The network helps show where Yen-Sin Ang may publish in the future.

Co-authorship network of co-authors of Yen-Sin Ang

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

All Works

13 of 13 papers shown
1.
Su, Jie, Zijun Huo, Julian A. Gingold, et al.. (2019). Genomic Integrity Safeguards Self-Renewal in Embryonic Stem Cells. Cell Reports. 28(6). 1400–1409.e4. 10 indexed citations
2.
Ribeiro, Alexandre J. S., Mohammad A. Mandegar, Yen-Sin Ang, et al.. (2017). Multi-Imaging Method to Assay the Contractile Mechanical Output of Micropatterned Human iPSC-Derived Cardiac Myocytes. Circulation Research. 120(10). 1572–1583. 88 indexed citations
3.
Mohamed, Tamer, Nicole R. Stone, Emily Berry, et al.. (2016). Chemical Enhancement of In Vitro and In Vivo Direct Cardiac Reprogramming. Circulation. 135(10). 978–995. 177 indexed citations
4.
Ribeiro, Alexandre J. S., Yen-Sin Ang, Ji‐Dong Fu, et al.. (2015). Contractility of single cardiomyocytes differentiated from pluripotent stem cells depends on physiological shape and substrate stiffness. Proceedings of the National Academy of Sciences. 112(41). 12705–12710. 352 indexed citations breakdown →
5.
Xu, Huilei, Yen-Sin Ang, Ana Sevilla, Ihor R. Lemischka, & Avi Ma’ayan. (2014). Construction and Validation of a Regulatory Network for Pluripotency and Self-Renewal of Mouse Embryonic Stem Cells. PLoS Computational Biology. 10(8). e1003777–e1003777. 69 indexed citations
6.
Heidersbach, Amy, Karen Carver-Moore, Yu Huang, et al.. (2013). microRNA-1 regulates sarcomere formation and suppresses smooth muscle gene expression in the mammalian heart. eLife. 2. e01323–e01323. 92 indexed citations
7.
Fidalgo, Miguel, P. Chandra Sekhar, Yen-Sin Ang, et al.. (2011). Zfp281 Functions as a Transcriptional Repressor for Pluripotency of Mouse Embryonic Stem Cells. Stem Cells. 29(11). 1705–1716. 71 indexed citations
8.
Tsai, Su‐Yi, Carlos Clavel, Soo Kim, et al.. (2009). Oct4 and Klf4 Reprogram Dermal Papilla Cells into Induced Pluripotent Stem Cells. Stem Cells. 28(2). 221–228. 107 indexed citations
9.
Tam, Wai Leong, Chin Yan Lim, Jianyong Han, et al.. (2008). T-Cell Factor 3 Regulates Embryonic Stem Cell Pluripotency and Self-Renewal by the Transcriptional Control of Multiple Lineage Pathways. Stem Cells. 26(8). 2019–2031. 149 indexed citations
10.
Tay, Yvonne, Wai Leong Tam, Yen-Sin Ang, et al.. (2007). MicroRNA-134 Modulates the Differentiation of Mouse Embryonic Stem Cells, Where It Causes Post-Transcriptional Attenuation of Nanog and LRH1. Stem Cells. 26(1). 17–29. 187 indexed citations
11.
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 →
12.
Tam, Wai Leong, Yen-Sin Ang, & Bing Lim. (2006). The molecular basis of ageing in stem cells. Mechanisms of Ageing and Development. 128(1). 137–148. 13 indexed citations
13.
Loh, Yuin‐Han, Wensheng Zhang, Xi Chen, et al.. (2005). Reciprocal Transcriptional Regulation of Pou5f1 and Sox2 via the Oct4/Sox2 Complex in Embryonic Stem Cells. Molecular and Cellular Biology. 25(14). 6031–6046. 534 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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