Xiaoping Peng

539 total citations
24 papers, 424 citations indexed

About

Xiaoping Peng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaoping Peng has authored 24 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaoping Peng's work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (6 papers) and Muscle Physiology and Disorders (4 papers). Xiaoping Peng is often cited by papers focused on MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (6 papers) and Muscle Physiology and Disorders (4 papers). Xiaoping Peng collaborates with scholars based in China and United States. Xiaoping Peng's co-authors include Xuanying Chen, Zhihong Liu, Lei Huang, Rui Liang, Yu Liu, Alon R. Azares, Dong Yin, Huan He, Qiang Xu and Ming He and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xiaoping Peng

21 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Peng China 11 265 105 73 45 41 24 424
Hailong Zhang China 12 335 1.3× 68 0.6× 52 0.7× 26 0.6× 60 1.5× 27 543
Xiaoming Fan United States 14 292 1.1× 115 1.1× 66 0.9× 36 0.8× 21 0.5× 22 502
Di Lü China 13 337 1.3× 55 0.5× 115 1.6× 28 0.6× 40 1.0× 28 494
Seung-Min Lee South Korea 12 363 1.4× 97 0.9× 39 0.5× 116 2.6× 18 0.4× 32 613
Xun Sun China 12 162 0.6× 59 0.6× 19 0.3× 54 1.2× 29 0.7× 29 393
Lishan Huang China 13 183 0.7× 50 0.5× 22 0.3× 62 1.4× 24 0.6× 35 418
Anta Ngkelo United Kingdom 7 172 0.6× 47 0.4× 72 1.0× 57 1.3× 17 0.4× 8 419
Sofía Cabezudo Spain 8 248 0.9× 28 0.3× 36 0.5× 94 2.1× 25 0.6× 9 452

Countries citing papers authored by Xiaoping Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Peng. A scholar is included among the top collaborators of Xiaoping Peng 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 Xiaoping Peng. Xiaoping Peng 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.
2.
Chen, Feng, Yanting Chen, Huiyi Chen, et al.. (2025). APOE4 triggers dysregulated synaptic vesicle release by disrupting SNARE complex assembly. Cellular and Molecular Life Sciences. 82(1). 248–248.
3.
4.
Xiao, Dongjie, Tao Long, Jinping Wang, et al.. (2024). Exosomes derived from cardiac fibroblasts with Ang-II stimulation provoke myocardial hypertrophy via miR-15b-5p/PTEN-L axis. Experimental Cell Research. 444(2). 114380–114380.
5.
Zhu, Jianbing, Qian Wang, Zeqi Zheng, et al.. (2024). MiR-181a protects the heart against myocardial infarction by regulating mitochondrial fission via targeting programmed cell death protein 4. Scientific Reports. 14(1). 6638–6638. 10 indexed citations
6.
Wang, Jun, Zhichao Wang, Fan Xia, Qiong Duan, & Xiaoping Peng. (2023). Atorvastatin reduces renal interstitial fibrosis caused by unilateral ureteral obstruction through inhibiting the transcriptional activity of YAP. Biochemical and Biophysical Research Communications. 678. 109–114. 2 indexed citations
7.
Dong, Wei, et al.. (2023). USF2 activates RhoB/ROCK pathway by transcriptional inhibition of miR-206 to promote pyroptosis in septic cardiomyocytes. Molecular and Cellular Biochemistry. 479(5). 1093–1108. 5 indexed citations
8.
Liu, Kai, Xiaoping Peng, & Liang Luo. (2023). miR-322 promotes the differentiation of embryonic stem cells into cardiomyocytes. Functional & Integrative Genomics. 23(2). 87–87. 2 indexed citations
9.
Li, Yunfeng, et al.. (2023). Microglial TLR4/NLRP3 Inflammasome Signaling in Alzheimer’s Disease. Journal of Alzheimer s Disease. 97(1). 75–88. 28 indexed citations
10.
Jiang, Xinmiao, Qiong Yan, Jiaqi He, et al.. (2023). Interfering with Dusp2 alleviates high glucose-induced vascular endothelial cell dysfunction by promoting p38 MAPK pathway activation. Experimental Cell Research. 430(2). 113720–113720. 6 indexed citations
11.
Li, Lei, Liuping Zhang, Tong Wen, et al.. (2022). Construction of Novel Gene Signature-Based Predictive Model for the Diagnosis of Acute Myocardial Infarction by Combining Random Forest With Artificial Neural Network. Frontiers in Cardiovascular Medicine. 9. 876543–876543. 13 indexed citations
12.
Zhu, Jianbing, Zhaoyang Chen, Xiaoping Peng, et al.. (2022). Extracellular Vesicle‐Derived circITGB1 Regulates Dendritic Cell Maturation and Cardiac Inflammation via miR‐342‐3p/NFAM1. Oxidative Medicine and Cellular Longevity. 2022(1). 8392313–8392313. 13 indexed citations
13.
Chen, Xuanying, et al.. (2019). miR-140-5p mediates bevacizumab-induced cytotoxicity to cardiomyocytes by targeting the VEGFA/14-3-3γ signal pathway. Toxicology Research. 8(6). 875–884. 9 indexed citations
14.
Chen, Xuanying, Xiaoping Peng, Yong Luo, et al.. (2019). Quercetin protects cardiomyocytes against doxorubicin-induced toxicity by suppressing oxidative stress and improving mitochondrial function via 14-3-3γ. Toxicology Mechanisms and Methods. 29(5). 344–354. 58 indexed citations
15.
Dong, Wei, Fei Xie, Xuanying Chen, et al.. (2019). Inhibition of Smurf2 translation by miR-322/503 protects from ischemia-reperfusion injury by modulating EZH2/Akt/GSK3β signaling. American Journal of Physiology-Cell Physiology. 317(2). C253–C261. 31 indexed citations
16.
Soibam, Benjamin, Ashley Benham, Xueping Xu, et al.. (2016). miR-322/-503 cluster is expressed in the earliest cardiac progenitor cells and drives cardiomyocyte specification. Proceedings of the National Academy of Sciences. 113(34). 9551–9556. 63 indexed citations
17.
Peng, Xiaoping, Lei Huang, & Zhihong Liu. (2016). miRNA-133a attenuates lipid accumulation via TR4-CD36 pathway in macrophages. Biochimie. 127. 79–85. 28 indexed citations
18.
Liang, Rui, et al.. (2016). Modeling Myotonic Dystrophy 1 in C2C12 Myoblast Cells. Journal of Visualized Experiments. 7 indexed citations
19.
Peng, Xiaoping, et al.. (2015). Celf1 regulates cell cycle and is partially responsible for defective myoblast differentiation in myotonic dystrophy RNA toxicity. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(7). 1490–1497. 24 indexed citations
20.
Li, Wenjuan, Shaoping Nie, Xiaoping Peng, et al.. (2012). Ganoderma atrum Polysaccharide Improves Age-Related Oxidative Stress and Immune Impairment in Mice. Journal of Agricultural and Food Chemistry. 60(6). 1413–1418. 53 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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