Qingman Li

464 total citations
17 papers, 337 citations indexed

About

Qingman Li is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Qingman Li has authored 17 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Qingman Li's work include MicroRNA in disease regulation (3 papers), Signaling Pathways in Disease (2 papers) and Cancer-related molecular mechanisms research (2 papers). Qingman Li is often cited by papers focused on MicroRNA in disease regulation (3 papers), Signaling Pathways in Disease (2 papers) and Cancer-related molecular mechanisms research (2 papers). Qingman Li collaborates with scholars based in China, Japan and United States. Qingman Li's co-authors include Houjian Li, Jiahe Xie, Yulin Liao, Lili Guo, Jianping Bin, Xixian Li, Lijie Zhu, Masafumi Kitakaze, Xiaobo Huang and Wanling Xuan and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Journal of Cellular Physiology.

In The Last Decade

Qingman Li

13 papers receiving 331 citations

Peers

Qingman Li
Zhe Dong China
Curtis Rambaran United Kingdom
David Myles United States
Fong To Sweden
George O. Angheloiu United States
Zhe Dong China
Qingman Li
Citations per year, relative to Qingman Li Qingman Li (= 1×) peers Zhe Dong

Countries citing papers authored by Qingman Li

Since Specialization
Citations

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

Fields of papers citing papers by Qingman Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingman Li

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

All Works

17 of 17 papers shown
2.
Li, Qingman, Jiajia Wang, Lin Lei, et al.. (2025). A multi-role hydrogel for hemostasis and infected wound treatment. Materials Today Communications. 45. 112321–112321.
3.
5.
Li, Guoyong, Che Wang, Qingman Li, et al.. (2024). Insulin resistance and coronary inflammation in patients with coronary artery disease: a cross-sectional study. Cardiovascular Diabetology. 23(1). 79–79. 20 indexed citations
6.
Li, Qingman, et al.. (2024). Ligustrazine alleviates the progression of coronary artery calcification by inhibiting caspase-3/GSDME mediated pyroptosis. BioScience Trends. 18(5). 482–491. 7 indexed citations
7.
Li, Houjian, et al.. (2023). Do green bonds and economic policy uncertainty matter for carbon price? New insights from a TVP-VAR framework. International Review of Financial Analysis. 86. 102502–102502. 63 indexed citations
8.
Li, Qingman, Xiaolin Zhang, Jie Jiang, et al.. (2022). Applications of Carbon Dots for the Treatment of Alzheimer’s Disease. International Journal of Nanomedicine. Volume 17. 6621–6638. 14 indexed citations
10.
Wang, Che, Qingmin Li, Chuanyu Gao, et al.. (2020). MMP9, CXCR1, TLR6, and MPO participant in the progression of coronary artery disease. Journal of Cellular Physiology. 235(11). 8283–8292. 15 indexed citations
11.
Zhu, Lijie, et al.. (2020). MicroRNA‐2861 and microRNA‐5115 regulates myocardial ischemia–reperfusion injury through the GPR30/mTOR signaling pathway by binding to GPR30. Journal of Cellular Physiology. 235(11). 7791–7802. 9 indexed citations
12.
Zhu, Lijie, et al.. (2019). Atherosclerosis‐associated endothelial cell apoptosis by miRNA let7‐b‐mediated downregulation of HAS‐2. Journal of Cellular Biochemistry. 121(8-9). 3961–3972. 14 indexed citations
13.
Siddique, Rabeea, Ghulam Nabi, Wasim Sajjad, et al.. (2017). Investigation of Sewage and Drinking Water in Major Healthcare Centres for Bacterial and Viral Pathogens. Hydrology Current Research. 8(2). 5 indexed citations
14.
Li, Qingman, et al.. (2017). Research on Industrial Cluster Development of Liaoning Coastal Economic Belt. Advances in computer science research. 2 indexed citations
15.
Li, Xixian, Qingman Li, Hairuo Lin, et al.. (2016). FGF23 promotes myocardial fibrosis in mice through activation of β-catenin. Oncotarget. 7(40). 64649–64664. 103 indexed citations
16.
Li, Qingman, Liang Shen, Jiahe Xie, et al.. (2015). Ablation of C/EBP homologous protein increases the acute phase mortality and doesn't attenuate cardiac remodeling in mice with myocardial infarction. Biochemical and Biophysical Research Communications. 464(1). 201–207. 16 indexed citations
17.
Li, Xixian, Zhi Zeng, Qingman Li, et al.. (2015). Inhibition of microRNA-497 ameliorates anoxia/reoxygenation injury in cardiomyocytes by suppressing cell apoptosis and enhancing autophagy. Oncotarget. 6(22). 18829–18844. 59 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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