Ying‐Hsi Lin

960 total citations · 1 hit paper
18 papers, 688 citations indexed

About

Ying‐Hsi Lin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Ying‐Hsi Lin has authored 18 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cell Biology. Recurrent topics in Ying‐Hsi Lin's work include Cardiomyopathy and Myosin Studies (8 papers), Cellular Mechanics and Interactions (4 papers) and Signaling Pathways in Disease (3 papers). Ying‐Hsi Lin is often cited by papers focused on Cardiomyopathy and Myosin Studies (8 papers), Cellular Mechanics and Interactions (4 papers) and Signaling Pathways in Disease (3 papers). Ying‐Hsi Lin collaborates with scholars based in United States, United Kingdom and Singapore. Ying‐Hsi Lin's co-authors include Chrishan J. A. Ramachandra, Derek J. Hausenloy, Sauri Hernández‐Reséndiz, Gustavo E Crespo-Avilan, Timothy A. McKinsey, Jieli Li, Brenda Russell, Yi‐Hsuan Lee, Sung‐Po Hsu and Shu‐Hui Juan and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

Ying‐Hsi Lin

18 papers receiving 681 citations

Hit Papers

Mitochondria in acute myo... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying‐Hsi Lin United States 11 412 250 115 69 69 18 688
Guanglei Chang China 11 267 0.6× 181 0.7× 114 1.0× 80 1.2× 46 0.7× 23 619
Corinne Berthonneche Switzerland 17 467 1.1× 327 1.3× 117 1.0× 115 1.7× 93 1.3× 23 882
Nelly Cemerlang Australia 10 375 0.9× 390 1.6× 66 0.6× 37 0.5× 39 0.6× 10 702
Delphine Baetz France 16 535 1.3× 226 0.9× 163 1.4× 108 1.6× 102 1.5× 32 820
Dulguun Amgalan United States 7 549 1.3× 182 0.7× 121 1.1× 129 1.9× 175 2.5× 9 858
Tony Chen United States 8 591 1.4× 326 1.3× 135 1.2× 107 1.6× 49 0.7× 18 992
B. Julie He United States 7 549 1.3× 371 1.5× 99 0.9× 47 0.7× 30 0.4× 13 858
Lu Yu China 17 296 0.7× 327 1.3× 40 0.3× 80 1.2× 82 1.2× 47 723
Soo Young Kim United States 8 364 0.9× 422 1.7× 44 0.4× 59 0.9× 73 1.1× 9 841
Rolf Schreckenberg Germany 20 375 0.9× 358 1.4× 118 1.0× 49 0.7× 53 0.8× 58 847

Countries citing papers authored by Ying‐Hsi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Hsi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Hsi Lin. 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 Ying‐Hsi Lin. The network helps show where Ying‐Hsi Lin may publish in the future.

Co-authorship network of co-authors of Ying‐Hsi Lin

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

All Works

18 of 18 papers shown
1.
Crespo-Avilan, Gustavo E, Sauri Hernández‐Reséndiz, Chrishan J. A. Ramachandra, et al.. (2024). Metabolic reprogramming of immune cells by mitochondrial division inhibitor-1 to prevent post-vascular injury neointimal hyperplasia. Atherosclerosis. 390. 117450–117450. 7 indexed citations
2.
Lin, Ying‐Hsi, Joshua G. Travers, Sara A. Wennersten, et al.. (2022). HDAC6 modulates myofibril stiffness and diastolic function of the heart. Journal of Clinical Investigation. 132(10). 35 indexed citations
3.
Ramachandra, Chrishan J. A., Sauri Hernández‐Reséndiz, Elisa A. Liehn, et al.. (2021). Inhibiting cardiac myeloperoxidase alleviates the relaxation defect in hypertrophic cardiomyocytes. Cardiovascular Research. 118(2). 517–530. 35 indexed citations
4.
Travers, Joshua G., Sara A. Wennersten, Brisa Peña, et al.. (2021). HDAC Inhibition Reverses Preexisting Diastolic Dysfunction and Blocks Covert Extracellular Matrix Remodeling. Circulation. 143(19). 1874–1890. 87 indexed citations
5.
Guo, Wei, Chaoqun Zhu, Zhiyong Yin, et al.. (2021). The ryanodine receptor stabilizer S107 ameliorates contractility of adult Rbm20 knockout rat cardiomyocytes. Physiological Reports. 9(17). e15011–e15011. 10 indexed citations
6.
Ramachandra, Chrishan J. A., Sauri Hernández‐Reséndiz, Gustavo E Crespo-Avilan, Ying‐Hsi Lin, & Derek J. Hausenloy. (2020). Mitochondria in acute myocardial infarction and cardioprotection. EBioMedicine. 57. 102884–102884. 229 indexed citations breakdown →
7.
Lin, Ying‐Hsi, Jonathan Yap, Chrishan J. A. Ramachandra, & Derek J. Hausenloy. (2019). New insights provided by myofibril mechanics in inherited cardiomyopathies.. Europe PMC (PubMed Central). 2(5). 213–224. 7 indexed citations
8.
Ou, Qinghui, Riham Abouleisa, Xian‐Liang Tang, et al.. (2019). Physiological Biomimetic Culture System for Pig and Human Heart Slices. Circulation Research. 125(6). 628–642. 56 indexed citations
9.
Shettigar, Vikram, Ying‐Hsi Lin, Brendan Agatisa-Boyle, et al.. (2019). Troponin I Tyrosine Phosphorylation: Novel Regulator of Cardiac Function. Biophysical Journal. 116(3). 114a–114a. 3 indexed citations
10.
Ong, Sang‐Bing, Sauri Hernández‐Reséndiz, Gustavo E Crespo-Avilan, et al.. (2019). Targeting Mitochondrial Fission Using Mdivi-1 in A Clinically Relevant Large Animal Model of Acute Myocardial Infarction: A Pilot Study. International Journal of Molecular Sciences. 20(16). 3972–3972. 64 indexed citations
11.
Ramachandra, Chrishan J. A., et al.. (2019). INDUCED PLURIPOTENT STEM CELLS FOR MODELLING ENERGETIC ALTERATIONS IN HYPERTROPHIC CARDIOMYOPATHY.. PubMed. 2(4). 142–151. 6 indexed citations
12.
Bagchi, Rushita A., Bradley S. Ferguson, Matthew S. Stratton, et al.. (2018). Epigenetic regulation of cardiometabolic disease by HDAC-BET association. Journal of Molecular and Cellular Cardiology. 124. 99–99. 1 indexed citations
13.
Lin, Ying‐Hsi, Matthew S. Stratton, Philip D. Tatman, et al.. (2017). Class I HDACs control a JIP1-dependent pathway for kinesin-microtubule binding in cardiomyocytes. Journal of Molecular and Cellular Cardiology. 112. 74–82. 11 indexed citations
14.
Lin, Ying‐Hsi, Chad M. Warren, Jieli Li, Timothy A. McKinsey, & Brenda Russell. (2016). Myofibril growth during cardiac hypertrophy is regulated through dual phosphorylation and acetylation of the actin capping protein CapZ. Cellular Signalling. 28(8). 1015–1024. 23 indexed citations
15.
Li, Jieli, et al.. (2016). Variation in stiffness regulates cardiac myocyte hypertrophy via signaling pathways. Canadian Journal of Physiology and Pharmacology. 94(11). 1178–1186. 10 indexed citations
16.
Lin, Ying‐Hsi, et al.. (2015). Cyclic mechanical strain of myocytes modifies CapZβ1 post translationally via PKCε. Journal of Muscle Research and Cell Motility. 36(4-5). 329–337. 11 indexed citations
17.
Lin, Ying‐Hsi, et al.. (2013). CapZ and actin capping dynamics increase in myocytes after a bout of exercise and abates in hours after stimulation ends. Journal of Applied Physiology. 114(11). 1603–1609. 25 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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