Yingxian Chen

1.5k total citations
30 papers, 1.0k citations indexed

About

Yingxian Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Yingxian Chen has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cell Biology. Recurrent topics in Yingxian Chen's work include Cardiomyopathy and Myosin Studies (7 papers), Microtubule and mitosis dynamics (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Yingxian Chen is often cited by papers focused on Cardiomyopathy and Myosin Studies (7 papers), Microtubule and mitosis dynamics (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Yingxian Chen collaborates with scholars based in China, United States and Hong Kong. Yingxian Chen's co-authors include Benjamin L. Prosser, Matthew A. Caporizzo, Kenneth B. Margulies, Patrick Robison, Alexey Bogush, Vivek B. Shenoy, Hossein Ahmadzadeh, Kenneth Bedi, Apoorva Babu and Michael P. Morley and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Yingxian Chen

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingxian Chen China 15 551 348 327 96 89 30 1.0k
Maria Jolanta Rędowicz Poland 20 805 1.5× 292 0.8× 335 1.0× 48 0.5× 59 0.7× 83 1.3k
Qunying Yuan United States 14 645 1.2× 340 1.0× 141 0.4× 41 0.4× 39 0.4× 24 896
Daniel B. Egeland United States 5 938 1.7× 509 1.5× 178 0.5× 113 1.2× 133 1.5× 7 1.4k
Satarupa Das United States 15 561 1.0× 146 0.4× 238 0.7× 66 0.7× 43 0.5× 27 1.1k
Noureddine Zebda United States 16 594 1.1× 68 0.2× 545 1.7× 71 0.7× 51 0.6× 24 1.3k
K. Sam Wells United States 15 721 1.3× 149 0.4× 57 0.2× 83 0.9× 131 1.5× 17 1.1k
Andre Kamkin Russia 23 768 1.4× 895 2.6× 93 0.3× 94 1.0× 88 1.0× 86 1.5k
Akiyuki Takahashi Japan 10 540 1.0× 124 0.4× 72 0.2× 78 0.8× 118 1.3× 35 1.1k
Sarah Calaghan United Kingdom 26 1.3k 2.3× 915 2.6× 387 1.2× 51 0.5× 130 1.5× 47 1.8k
Suet Yen Chong Singapore 17 500 0.9× 133 0.4× 56 0.2× 155 1.6× 111 1.2× 33 1.1k

Countries citing papers authored by Yingxian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yingxian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxian Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxian Chen. A scholar is included among the top collaborators of Yingxian Chen 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 Yingxian Chen. Yingxian Chen 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.
Wang, Na, Qi Chen, Yingxian Chen, et al.. (2025). Bio-inspired layered structure for anti-corrosion composite coatings based on modified graphene prepared by microfluidization. Applied Surface Science. 699. 163143–163143. 2 indexed citations
2.
Chen, Yingxian, Xinmiao Lan, Xiaolong Xu, et al.. (2024). Adipose tissue targeted sequential delivery system regulating glycolipid metabolism for systemic obesity and its comorbidities. Nano Today. 59. 102553–102553. 3 indexed citations
3.
4.
Liu, Qian, et al.. (2023). A regulatory module comprising G3BP1-FBXL5-IRP2 axis determines sodium arsenite-induced ferroptosis. Journal of Hazardous Materials. 465. 133038–133038. 12 indexed citations
5.
Chen, Yingxian, et al.. (2023). Multifunctional MMP9-responsive silicasomes-GelMA hydrogels with bacteria-targeting capability and tissue restoration function for chronic wound infection. Chemical Engineering Journal. 475. 146246–146246. 16 indexed citations
6.
Chen, Yingxian, Qian Zhao, Xinmiao Lan, et al.. (2022). Dual Drug Loaded pH-sensitive Micelles for Efficient Bacterial Infection Treatment. Pharmaceutical Research. 39(6). 1165–1180. 11 indexed citations
8.
Phyo, Sai Aung, Keita Uchida, Yingxian Chen, et al.. (2022). Transcriptional, Post-Transcriptional, and Post-Translational Mechanisms Rewrite the Tubulin Code During Cardiac Hypertrophy and Failure. Frontiers in Cell and Developmental Biology. 10. 837486–837486. 11 indexed citations
9.
Chen, Yingxian, Jack Rivers‐Auty, Livia Elena Crică, et al.. (2021). Dynamic interactions and intracellular fate of label-free, thin graphene oxide sheets within mammalian cells: role of lateral sheet size. Nanoscale Advances. 3(14). 4166–4185. 20 indexed citations
10.
Chen, Yingxian, Chaoyang Xu, Jinzhong Huang, et al.. (2021). Long non-coding RNA PSMA3-AS1 promotes glioma progression through modulating the miR-411-3p/HOXA10 pathway. BMC Cancer. 21(1). 844–844. 20 indexed citations
11.
12.
McAfee, Quentin, Yingxian Chen, Yifan Yang, et al.. (2021). Truncated titin proteins in dilated cardiomyopathy. Science Translational Medicine. 13(618). eabd7287–eabd7287. 47 indexed citations
13.
Caporizzo, Matthew A., et al.. (2020). Microtubules Increase Diastolic Stiffness in Failing Human Cardiomyocytes and Myocardium. Circulation. 141(11). 902–915. 69 indexed citations
14.
So, Wai‐Kin, Hyoung Kyu Kim, Yingxian Chen, et al.. (2020). Exchange protein directly activated by cAMP (Epac) 1 plays an essential role in stress-induced exercise capacity by regulating PGC-1α and fatty acid metabolism in skeletal muscle. Pflügers Archiv - European Journal of Physiology. 472(2). 195–216. 10 indexed citations
15.
Caporizzo, Matthew A., Yingxian Chen, & Benjamin L. Prosser. (2019). Cardiac microtubules in health and heart disease. Experimental Biology and Medicine. 244(15). 1255–1272. 73 indexed citations
16.
Caporizzo, Matthew A., et al.. (2018). Microtubules Provide a Viscoelastic Resistance to Myocyte Motion. Biophysical Journal. 115(9). 1796–1807. 38 indexed citations
17.
Chen, Yingxian, Matthew A. Caporizzo, Kenneth Bedi, et al.. (2018). Suppression of detyrosinated microtubules improves cardiomyocyte function in human heart failure. Nature Medicine. 24(8). 1225–1233. 183 indexed citations
18.
Chen, Yingxian, Xinmei Zhang, Angela Lai, et al.. (2013). Exchange protein activated by cAMP 1 (Epac1) ‐deficient mice develop β‐cell dysfunction and metabolic syndrome. The FASEB Journal. 27(10). 4122–4135. 50 indexed citations
19.
Han, Feng, Yingxian Chen, Ying‐Mei Lu, et al.. (2011). Regulation of the ischemia-induced autophagy-lysosome processes by nitrosative stress in endothelial cells. Journal of Pineal Research. 51(1). 124–135. 71 indexed citations
20.
Han, Feng, Rongrong Tao, Gensheng Zhang, et al.. (2010). Melatonin ameliorates ischemic-like injury-evoked nitrosative stress: Involvement of HtrA2/PED pathways in endothelial cells. Journal of Pineal Research. 50(3). 281–291. 37 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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