Xingda Li

891 total citations
24 papers, 331 citations indexed

About

Xingda Li is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xingda Li has authored 24 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xingda Li's work include Mesenchymal stem cell research (3 papers), MicroRNA in disease regulation (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xingda Li is often cited by papers focused on Mesenchymal stem cell research (3 papers), MicroRNA in disease regulation (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xingda Li collaborates with scholars based in China, Macao and Germany. Xingda Li's co-authors include Fan Yang, Zhenwei Pan, Kun Yin, Xueying Tan, Yanjie Lu, Chaoqian Xu, Bo Yu, Xianglu Li, Huimin Lu and Huimin Liu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Xingda Li

21 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingda Li China 11 169 105 62 47 38 24 331
Zhongpu Chen China 11 194 1.1× 98 0.9× 80 1.3× 58 1.2× 16 0.4× 17 360
Fang Cui China 11 132 0.8× 47 0.4× 44 0.7× 32 0.7× 44 1.2× 46 352
Zulong Sheng China 13 211 1.2× 101 1.0× 87 1.4× 97 2.1× 76 2.0× 24 429
Feng Cao China 8 232 1.4× 90 0.9× 116 1.9× 70 1.5× 59 1.6× 14 419
Izabela Florek Poland 4 167 1.0× 62 0.6× 52 0.8× 49 1.0× 27 0.7× 14 346
Liujun Jiang China 11 192 1.1× 91 0.9× 66 1.1× 47 1.0× 24 0.6× 24 354
Qiuting Feng China 12 286 1.7× 88 0.8× 94 1.5× 35 0.7× 17 0.4× 18 385
Qin Yi China 16 313 1.9× 130 1.2× 33 0.5× 70 1.5× 36 0.9× 42 510

Countries citing papers authored by Xingda Li

Since Specialization
Citations

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

Fields of papers citing papers by Xingda Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingda Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xingda Li. A scholar is included among the top collaborators of Xingda Li 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 Xingda Li. Xingda Li 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.
Yan, Hao, Wen Li, Xingda Li, et al.. (2025). Inhibition of GRK4 reduces arrhythmia susceptibility and alleviates connexin43 dysregulation after myocardial infarction. Biochemical Pharmacology. 239. 117035–117035.
2.
Li, Xingda, Xin He, Yu Zhang, et al.. (2025). Uncovering Hippo pathway-related biomarkers in acute myocardial infarction via scRNA-seq binding transcriptomics. Scientific Reports. 15(1). 10368–10368. 1 indexed citations
3.
Wang, Weizong, et al.. (2024). Deposition characteristics and influence regularity of sputtered products in a low-power RF gridded ion thruster. Vacuum. 228. 113472–113472. 2 indexed citations
4.
Wang, Quan, et al.. (2024). Towards high-performance deep learning architecture and hardware accelerator design for robust analysis in diffuse correlation spectroscopy. Computer Methods and Programs in Biomedicine. 258. 108471–108471. 1 indexed citations
5.
Liu, Xin, Xingda Li, Yang Zhang, et al.. (2023). Cullin-associated and neddylation-dissociated protein 1 (CAND1) alleviates NAFLD by reducing ubiquitinated degradation of ACAA2. Nature Communications. 14(1). 4620–4620. 16 indexed citations
6.
Liu, Yunqi, Yaohua Liu, Xingda Li, et al.. (2023). CDR1as promotes arrhythmias in myocardial infarction via targeting the NAMPT-NAD+ pathway. Biomedicine & Pharmacotherapy. 165. 115267–115267. 4 indexed citations
7.
Jiang, Yuan, Ying Yang, Yang Zhang, et al.. (2022). Cytoplasmic sequestration of p53 by lncRNA-CIRPILalleviates myocardial ischemia/reperfusion injury. Communications Biology. 5(1). 716–716. 10 indexed citations
8.
Ma, Wenya, Xiuxiu Wang, Hongyue Sun, et al.. (2022). Oxidant stress-sensitive circRNA Mdc1 controls cardiomyocyte chromosome stability and cell cycle re-entry during heart regeneration. Pharmacological Research. 184. 106422–106422. 16 indexed citations
9.
Li, Xingda, Yang Zhang, Shihua Zhao, et al.. (2022). Cullin-associated and neddylation-dissociated 1 protein (CAND1) governs cardiac hypertrophy and heart failure partially through regulating calcineurin degradation. Pharmacological Research. 182. 106284–106284. 6 indexed citations
10.
Zhang, Wenshuang, et al.. (2021). Inductive Coupling Discharge Characteristics of a 10-cm Dual-Stage 4-Grid Radiofrequency Ion Thruster. Journal of Aerospace Technology and Management. 13.
11.
Xue, Genlong, Desheng Li, Zhiyong Wang, et al.. (2021). Interleukin-17 upregulation participates in the pathogenesis of heart failure in mice via NF-κB-dependent suppression of SERCA2a and Cav1.2 expression. Acta Pharmacologica Sinica. 42(11). 1780–1789. 40 indexed citations
12.
Li, Xingda, et al.. (2021). Fault estimation based adaptive observer for a class of Lipschitz nonlinear systems. 2021 China Automation Congress (CAC). 7949–7954.
13.
14.
Feng, Chao, Rui Gong, Gege Yan, et al.. (2019). Synergistic anti-tumor effects of arsenic trioxide and blue LED irradiation on human osteosarcoma. International Journal of Biological Sciences. 15(2). 386–394. 16 indexed citations
15.
Li, Xingda, et al.. (2017). The effect of general anesthesia compound thoracic paravertebral blockade on postoperative pain relief for patients in thoracic surgery. Biomedical Research-tokyo. 28(4). 1638–1641. 1 indexed citations
16.
Yin, Kun, Liang Zhao, Dan Feng, et al.. (2015). Resveratrol Attenuated Low Ambient Temperature-Induced Myocardial Hypertrophy via Inhibiting Cardiomyocyte Apoptosis. Cellular Physiology and Biochemistry. 35(6). 2451–2462. 32 indexed citations
17.
Cai, Benzhi, Xueying Tan, Yong Zhang, et al.. (2015). Mesenchymal Stem Cells and Cardiomyocytes Interplay to Prevent Myocardial Hypertrophy. Stem Cells Translational Medicine. 4(12). 1425–1435. 35 indexed citations
18.
Liu, Youbin, Guangnan Li, Huimin Lu, et al.. (2014). Expression profiling and ontology analysis of long noncoding RNAs in post-ischemic heart and their implied roles in ischemia/reperfusion injury. Gene. 543(1). 15–21. 59 indexed citations
19.
Yang, Fan, Yanju Liu, Kun Yin, et al.. (2013). Doxorubicin Caused Apoptosis of Mesenchymal Stem Cells via p38, JNK and p53 Pathway. Cellular Physiology and Biochemistry. 32(4). 1072–1082. 41 indexed citations
20.
Cai, Benzhi, Xingda Li, Yang Wang, et al.. (2013). Apoptosis of Bone Marrow Mesenchymal Stem Cells Caused by Homocysteine via Activating JNK Signal. PLoS ONE. 8(5). e63561–e63561. 32 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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