Yuan Yan Sin

849 total citations
20 papers, 500 citations indexed

About

Yuan Yan Sin is a scholar working on Molecular Biology, Genetics and Clinical Biochemistry. According to data from OpenAlex, Yuan Yan Sin has authored 20 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Clinical Biochemistry. Recurrent topics in Yuan Yan Sin's work include Amino Acid Enzymes and Metabolism (4 papers), Metabolism and Genetic Disorders (4 papers) and Phosphodiesterase function and regulation (4 papers). Yuan Yan Sin is often cited by papers focused on Amino Acid Enzymes and Metabolism (4 papers), Metabolism and Genetic Disorders (4 papers) and Phosphodiesterase function and regulation (4 papers). Yuan Yan Sin collaborates with scholars based in United Kingdom, Canada and Thailand. Yuan Yan Sin's co-authors include George S. Baillie, Colin Funk, Andreas Schulze, Tom Van Agtmael, Laurel L. Ballantyne, Miles D. Houslay, Allan J. Dunlop, David R. Adams, Helen V. Edwards and X. Li and has published in prestigious journals such as PLoS ONE, Biomaterials and Molecular and Cellular Biology.

In The Last Decade

Yuan Yan Sin

18 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Yan Sin United Kingdom 11 343 76 69 59 58 20 500
Anna M. Sokòl Germany 13 407 1.2× 50 0.7× 37 0.5× 91 1.5× 105 1.8× 24 597
Catherine Brunel‐Guitton Canada 14 454 1.3× 36 0.5× 203 2.9× 56 0.9× 66 1.1× 28 621
Xiao Guo China 8 355 1.0× 18 0.2× 22 0.3× 77 1.3× 34 0.6× 10 496
Maria J. Sanchez‐Quintero Spain 14 460 1.3× 13 0.2× 148 2.1× 21 0.4× 63 1.1× 30 694
Duco S. Koenis Netherlands 14 424 1.2× 110 1.4× 10 0.1× 52 0.9× 51 0.9× 25 866
Dharmendra Pandey India 9 229 0.7× 51 0.7× 7 0.1× 77 1.3× 58 1.0× 17 397
Louise Reilly United States 15 437 1.3× 143 1.9× 16 0.2× 72 1.2× 50 0.9× 22 580
J. Krause Germany 15 506 1.5× 68 0.9× 116 1.7× 30 0.5× 56 1.0× 20 745
Fredrick D. Oakley United States 9 255 0.7× 17 0.2× 9 0.1× 60 1.0× 99 1.7× 9 543

Countries citing papers authored by Yuan Yan Sin

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Yan Sin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan Yan Sin. 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 Yuan Yan Sin. The network helps show where Yuan Yan Sin may publish in the future.

Co-authorship network of co-authors of Yuan Yan Sin

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Yan Sin. A scholar is included among the top collaborators of Yuan Yan Sin 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 Yuan Yan Sin. Yuan Yan Sin 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
1.
Shakya, Arvind, Qiao Liu, Chon Lai, et al.. (2025). Discovery of a PDE4B and PDE4D selective bifunctional degrader for management of chronic inflammatory disorders. Journal of Translational Autoimmunity. 11. 100329–100329.
2.
3.
Wright, Thomas A., Yuan Yan Sin, Katharine Herbert, et al.. (2024). Disruption of the pro-oncogenic c-RAF–PDE8A complex represents a differentiated approach to treating KRAS–c-RAF dependent PDAC. Scientific Reports. 14(1). 8998–8998. 1 indexed citations
4.
Montezano, Augusto C., Yuan Yan Sin, Lívia L. Camargo, et al.. (2024). Ang-(1-7) and ET-1 Interplay Through Mas and ET B Receptor Interaction Defines a Novel Vasoprotective Mechanism. Hypertension. 82(2). 267–281. 2 indexed citations
5.
Sin, Yuan Yan, Laura G. Corral, Feng Tian, et al.. (2024). Targeted protein degradation of PDE4 shortforms by a novel proteolysis targeting chimera. FEBS Journal. 292(13). 3360–3377. 3 indexed citations
6.
Cantini, Marco, Yuan Yan Sin, Dennis W. Zhou, et al.. (2020). Material-driven fibronectin assembly rescues matrix defects due to mutations in collagen IV in fibroblasts. Biomaterials. 252. 120090–120090. 8 indexed citations
7.
Sin, Yuan Yan, et al.. (2019). Basement membrane collagens and disease mechanisms. Essays in Biochemistry. 63(3). 297–312. 76 indexed citations
8.
Sin, Yuan Yan, et al.. (2017). Transplantation of Gene-Edited Hepatocyte-like Cells Modestly Improves Survival of Arginase-1-Deficient Mice. Molecular Therapy — Nucleic Acids. 10. 122–130. 8 indexed citations
9.
Sin, Yuan Yan, et al.. (2017). Proof-of-Concept Gene Editing for the Murine Model of Inducible Arginase-1 Deficiency. Scientific Reports. 7(1). 2585–2585. 14 indexed citations
10.
Ballantyne, Laurel L., Yuan Yan Sin, Osama Y. Al-Dirbashi, et al.. (2016). Liver-specific knockout of arginase-1 leads to a profound phenotype similar to inducible whole body arginase-1 deficiency. Molecular Genetics and Metabolism Reports. 9. 54–60. 21 indexed citations
11.
Ballantyne, Laurel L., Yuan Yan Sin, Steven Goossens, et al.. (2015). Strategies to Rescue the Consequences of Inducible Arginase-1 Deficiency in Mice. PLoS ONE. 10(5). e0125967–e0125967. 12 indexed citations
12.
Sin, Yuan Yan, et al.. (2015). Arginase-1 deficiency. Journal of Molecular Medicine. 93(12). 1287–1296. 68 indexed citations
13.
Sin, Yuan Yan, Tamara P. Martin, Lauren Wills, Susan Currie, & George S. Baillie. (2015). Small heat shock protein 20 (Hsp20) facilitates nuclear import of protein kinase D 1 (PKD1) during cardiac hypertrophy. Cell Communication and Signaling. 13(1). 16–16. 24 indexed citations
14.
Sin, Yuan Yan & George S. Baillie. (2015). Heat shock protein 20 (HSP20) is a novel substrate for protein kinase D1 (PKD1). Cell Biochemistry and Function. 33(7). 421–426. 10 indexed citations
15.
Sin, Yuan Yan, et al.. (2013). Inducible Arginase 1 Deficiency in Mice Leads to Hyperargininemia and Altered Amino Acid Metabolism. PLoS ONE. 8(11). e80001–e80001. 37 indexed citations
16.
Lucas, Alexandre, Aude Saulière, Yuan Yan Sin, et al.. (2012). Specific interactions between Epac1, β-arrestin2 and PDE4D5 regulate β-adrenergic receptor subtype differential effects on cardiac hypertrophic signaling. Cellular Signalling. 25(4). 970–980. 50 indexed citations
17.
Sin, Yuan Yan & George S. Baillie. (2012). Protein kinase D in the hypertrophy pathway. Biochemical Society Transactions. 40(1). 287–289. 10 indexed citations
18.
Sin, Yuan Yan, Helen V. Edwards, X. Li, et al.. (2011). Disruption of the cyclic AMP phosphodiesterase-4 (PDE4)–HSP20 complex attenuates the β-agonist induced hypertrophic response in cardiac myocytes. Journal of Molecular and Cellular Cardiology. 50(5). 872–883. 86 indexed citations
19.
Sin, Yuan Yan, Suryakiran Vadrevu, John Day, et al.. (2010). β-Arrestin 1 Inhibits the GTPase-Activating Protein Function of ARHGAP21, Promoting Activation of RhoA following Angiotensin II Type 1A Receptor Stimulation. Molecular and Cellular Biology. 31(5). 1066–1075. 55 indexed citations
20.
Weir, Fred, Andrew Holyoake, Patrick McHugh, et al.. (2006). Molecular analysis of polymerase gamma gene and mitochondrial polymorphism in fertile and subfertile men. International Journal of Andrology. 29(3). 421–433. 15 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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