Xian‐Ming Chu

2.2k total citations · 1 hit paper
61 papers, 1.7k citations indexed

About

Xian‐Ming Chu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xian‐Ming Chu has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 20 papers in Cardiology and Cardiovascular Medicine and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xian‐Ming Chu's work include Circular RNAs in diseases (7 papers), Magnetic properties of thin films (6 papers) and Cardiac pacing and defibrillation studies (6 papers). Xian‐Ming Chu is often cited by papers focused on Circular RNAs in diseases (7 papers), Magnetic properties of thin films (6 papers) and Cardiac pacing and defibrillation studies (6 papers). Xian‐Ming Chu collaborates with scholars based in China, United States and Canada. Xian‐Ming Chu's co-authors include Meihua Gao, Tao Yu, Baochen Bai, Yanyan Yang, Bing Li, Chao Tian, Peifeng Li, Lynn Htet Htet Aung, Min Li and Qi Wang and has published in prestigious journals such as The Lancet, Applied Physics Letters and PLoS ONE.

In The Last Decade

Xian‐Ming Chu

59 papers receiving 1.7k citations

Hit Papers

NLRP3 inflammasome in endothelial dysfunction 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xian‐Ming Chu China 22 892 294 263 204 180 61 1.7k
Heonyong Park South Korea 27 1.4k 1.6× 238 0.8× 176 0.7× 363 1.8× 45 0.3× 74 2.4k
Bo Ye China 24 672 0.8× 169 0.6× 214 0.8× 55 0.3× 73 0.4× 90 1.4k
Bin Kong China 21 596 0.7× 261 0.9× 110 0.4× 181 0.9× 53 0.3× 47 1.6k
Jiahao Chen China 23 844 0.9× 366 1.2× 59 0.2× 161 0.8× 51 0.3× 100 1.8k
Lijing Wang China 30 1.3k 1.5× 529 1.8× 60 0.2× 434 2.1× 202 1.1× 110 2.6k
Lei Pang China 20 543 0.6× 238 0.8× 96 0.4× 75 0.4× 55 0.3× 59 1.2k
Qing Peng China 24 696 0.8× 234 0.8× 116 0.4× 114 0.6× 28 0.2× 109 1.8k
Yi Chu China 24 1.3k 1.5× 447 1.5× 133 0.5× 250 1.2× 26 0.1× 66 2.1k
Cheng Liu China 26 745 0.8× 331 1.1× 270 1.0× 109 0.5× 23 0.1× 148 2.2k
Chengbin Wang China 23 855 1.0× 290 1.0× 46 0.2× 167 0.8× 107 0.6× 118 2.0k

Countries citing papers authored by Xian‐Ming Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xian‐Ming Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xian‐Ming Chu. 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 Xian‐Ming Chu. The network helps show where Xian‐Ming Chu may publish in the future.

Co-authorship network of co-authors of Xian‐Ming Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Xian‐Ming Chu. A scholar is included among the top collaborators of Xian‐Ming Chu 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 Xian‐Ming Chu. Xian‐Ming Chu 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.
Cao, Hongyu, Lina Yang, Fanghao Yang, et al.. (2025). UBA protein family: An emerging set of E1 ubiquitin ligases in cancer—A review. International Journal of Biological Macromolecules. 308(Pt 2). 142277–142277. 5 indexed citations
2.
Li, Zhaoqing, Xiaojian Xu, Guoliang Zhang, et al.. (2025). The peptide from C- Phycocyanin alleviates myocardial ischemia-reperfusion injury by suppressing ferroptosis via upregulating UCHL3. Free Radical Biology and Medicine. 237. 160–175. 1 indexed citations
3.
Chen, Tao, et al.. (2025). Preparation and biomedical applications of Janus nanomotors. Materials Today Bio. 35. 102444–102444. 2 indexed citations
4.
Li, Zhaoqing, et al.. (2025). Immune modulation: the key to combat SARS-CoV-2 induced myocardial injury. Frontiers in Immunology. 16. 1561946–1561946. 1 indexed citations
5.
Huang, Chao, Xiaoxia Li, Hanqing Li, et al.. (2024). Role of gut microbiota in doxorubicin-induced cardiotoxicity: from pathogenesis to related interventions. Journal of Translational Medicine. 22(1). 433–433. 11 indexed citations
6.
Huang, Chao, Zhaoqing Li, Guoliang Zhang, et al.. (2024). Analysis and Validation of Critical Signatures and Immune Cell Infiltration Characteristics in Doxorubicin-Induced Cardiotoxicity by Integrating Bioinformatics and Machine Learning. Journal of Inflammation Research. Volume 17. 669–685. 2 indexed citations
7.
Wei, Haixia, Chao Tian, Chao Huang, et al.. (2024). The Transcriptome Analysis of Circular RNAs Between the Doxorubicin-Induced Cardiomyocytes and Bone Marrow Mesenchymal Stem Cells-Derived Exosomes Treated Ones. Combinatorial Chemistry & High Throughput Screening. 27(7). 1056–1070. 1 indexed citations
8.
Li, Bing, et al.. (2023). STAT3 as a therapeutic target in the metformin-related treatment. International Immunopharmacology. 116. 109770–109770. 14 indexed citations
9.
He, Xiangqin, Ni Wang, Ruicong Sun, et al.. (2023). Roles of long non-coding RNAs in angiogenesis-related diseases: Focusing on non-neoplastic aspects. Life Sciences. 330. 122006–122006. 6 indexed citations
10.
Tian, Chao, Yanyan Yang, Bing Li, et al.. (2022). Doxorubicin-Induced Cardiotoxicity May Be Alleviated by Bone Marrow Mesenchymal Stem Cell-Derived Exosomal lncRNA via Inhibiting Inflammation. Journal of Inflammation Research. Volume 15. 4467–4486. 9 indexed citations
11.
Bai, Baochen, et al.. (2021). The Molecular Mechanisms of Cardiotoxicity Induced by HER2, VEGF, and Tyrosine Kinase Inhibitors: an Updated Review. Cardiovascular Drugs and Therapy. 36(3). 511–524. 34 indexed citations
12.
Tian, Chao, Yanyan Yang, Baochen Bai, et al.. (2021). Potential of exosomes as diagnostic biomarkers and therapeutic carriers for doxorubicin-induced cardiotoxicity. International Journal of Biological Sciences. 17(5). 1328–1338. 63 indexed citations
13.
Wang, Qi, Yanyan Yang, Xiuxiu Fu, et al.. (2020). Long noncoding RNA XXYLT1-AS2 regulates proliferation and adhesion by targeting the RNA binding protein FUS in HUVEC. Atherosclerosis. 298. 58–69. 32 indexed citations
14.
Bai, Baochen, Yanyan Yang, Qi Wang, et al.. (2020). NLRP3 inflammasome in endothelial dysfunction. Cell Death and Disease. 11(9). 776–776. 349 indexed citations breakdown →
15.
Hu, Zhen, Hong Wang, Guanwei Fan, et al.. (2019). Danhong injection mobilizes endothelial progenitor cells to repair vascular endothelium injury via upregulating the expression of Akt, eNOS and MMP-9. Phytomedicine. 61. 152850–152850. 36 indexed citations
16.
Chu, Xian‐Ming, et al.. (2015). Identification of Bacteriology and Risk Factor Analysis of Asymptomatic Bacterial Colonization in Pacemaker Replacement Patients. PLoS ONE. 10(3). e0119232–e0119232. 7 indexed citations
17.
Yu, Hua, Dan Li, Xian‐Ming Chu, et al.. (2014). Coronary heart disease: incidence, risk factors and interventions in Jiaozhou of Shandong province. Chinese Medical Journal. 127(12). 2275–2278. 5 indexed citations
18.
19.
Li, Yonghong, et al.. (2013). Rosuvastatin attenuates atherosclerosis in rats via activation of scavenger receptor class B type I. European Journal of Pharmacology. 723. 23–28. 3 indexed citations
20.
Li, Bing, et al.. (2011). The effects of CD59 gene as a target gene on breast cancer cells. Cellular Immunology. 272(1). 61–70. 26 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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