Quanyi Li

2.0k total citations
38 papers, 1.5k citations indexed

About

Quanyi Li is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, Quanyi Li has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Pharmacology. Recurrent topics in Quanyi Li's work include Signaling Pathways in Disease (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and MicroRNA in disease regulation (3 papers). Quanyi Li is often cited by papers focused on Signaling Pathways in Disease (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and MicroRNA in disease regulation (3 papers). Quanyi Li collaborates with scholars based in China, United States and United Kingdom. Quanyi Li's co-authors include Robert J. Levy, Jian Bo, Emile R. Mohler, Navneet Narula, Gadiparthi N. Rao, Zhenghao Peng, Nagadhara Dronadula, Bolei Zhou, Peter Lloyd Jones and F J Schoen and has published in prestigious journals such as Journal of Biological Chemistry, IEEE Transactions on Pattern Analysis and Machine Intelligence and Circulation Research.

In The Last Decade

Quanyi Li

38 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quanyi Li China 21 487 479 234 207 163 38 1.5k
Xinxin Guo China 23 532 1.1× 693 1.4× 212 0.9× 271 1.3× 91 0.6× 90 2.0k
Xiaogang Guo China 21 527 1.1× 370 0.8× 120 0.5× 154 0.7× 115 0.7× 133 1.3k
Christian Schaefer Germany 25 280 0.6× 370 0.8× 414 1.8× 459 2.2× 111 0.7× 120 1.9k
Midoriko Higashi Japan 16 393 0.8× 564 1.2× 100 0.4× 247 1.2× 203 1.2× 55 1.5k
Chris I. Jones United Kingdom 25 491 1.0× 385 0.8× 400 1.7× 238 1.1× 164 1.0× 58 1.7k
Tomohiro Harada Japan 16 226 0.5× 183 0.4× 93 0.4× 149 0.7× 391 2.4× 123 1.5k
Kar‐Ming Fung United States 31 268 0.6× 924 1.9× 462 2.0× 487 2.4× 131 0.8× 116 3.2k
Qi Hu China 24 104 0.2× 510 1.1× 46 0.2× 133 0.6× 118 0.7× 79 1.8k
Yimin Huang China 17 92 0.2× 404 0.8× 183 0.8× 188 0.9× 118 0.7× 73 1.3k

Countries citing papers authored by Quanyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Quanyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanyi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Quanyi Li. A scholar is included among the top collaborators of Quanyi 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 Quanyi Li. Quanyi 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.
Chen, Xiao, Quanyi Li, Tai Wang, Tianfan Xue, & Jiangmiao Pang. (2024). GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction. 16436–16445. 5 indexed citations
2.
Lan, Feng, et al.. (2023). TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. 3567–3575. 47 indexed citations
3.
Li, Quanyi, et al.. (2022). MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 1–14. 120 indexed citations
4.
Pan, Yang, et al.. (2021). Elabela gene therapy promotes angiogenesis after myocardial infarction. Journal of Cellular and Molecular Medicine. 25(17). 8537–8545. 23 indexed citations
5.
He, Shenghu, et al.. (2020). Cryptococcal endocarditis of native valves without immunodeficiency or drug abuse: a case report. Journal of International Medical Research. 48(12). 1220770315–1220770315. 6 indexed citations
6.
Pan, Yang, et al.. (2020). Apela improves cardiac and renal function in mice with acute myocardial infarction. Journal of Cellular and Molecular Medicine. 24(18). 10382–10390. 22 indexed citations
7.
Li, Quanyi, Haipeng Yao, Tianle Mai, Chunxiao Jiang, & Yan Zhang. (2019). Reinforcement-Learning- and Belief-Learning-Based Double Auction Mechanism for Edge Computing Resource Allocation. IEEE Internet of Things Journal. 7(7). 5976–5985. 51 indexed citations
8.
Zhang, Mingyue, Linlin Dong, Huichao Zou, et al.. (2018). Effects of Cannabinoid Type 2 Receptor Agonist AM1241 on Morphine-Induced Antinociception, Acute and Chronic Tolerance, and Dependence in Mice. Journal of Pain. 19(10). 1113–1129. 21 indexed citations
9.
Zhang, Yingang, et al.. (2018). Exendin-4 inhibits glioma cell migration, invasion and epithelial-to-mesenchymal transition through GLP-1R/sirt3 pathway. Biomedicine & Pharmacotherapy. 106. 1364–1369. 20 indexed citations
10.
Liu, Li, Qi You, Yingfeng Tu, et al.. (2015). Midazolam Inhibits the Apoptosis of Astrocytes Induced by Oxygen Glucose Deprivation via Targeting JAK2-STAT3 Signaling Pathway. Cellular Physiology and Biochemistry. 35(1). 126–136. 16 indexed citations
11.
Niu, Shuyan, et al.. (2010). Nicking endonuclease and target recycles signal amplification assisted quantum dots for fluorescence detection of DNA. Analytica Chimica Acta. 680(1-2). 54–58. 18 indexed citations
12.
Niu, Shuyan, Quanyi Li, Rui Ren, & Shusheng Zhang. (2009). Enzyme-enhanced fluorescence detection of DNA on etched optical fibers. Biosensors and Bioelectronics. 24(9). 2943–2946. 26 indexed citations
13.
Karpurapu, Manjula, Dong Wang, Nikhlesh K. Singh, Quanyi Li, & Gadiparthi N. Rao. (2008). NFATc1 Targets Cyclin A in the Regulation of Vascular Smooth Muscle Cell Multiplication during Restenosis. Journal of Biological Chemistry. 283(39). 26577–26590. 34 indexed citations
14.
Dronadula, Nagadhara, et al.. (2005). Involvement of cAMP-response element binding protein-1 in arachidonic acid-induced vascular smooth muscle cell motility. Journal of Lipid Research. 47(4). 767–777. 23 indexed citations
15.
Li, Quanyi, E Athan, Michelle Wei, et al.. (2004). TP73allelic expression in human brain and allele frequencies in Alzheimer's disease. BMC Medical Genetics. 5(1). 14–14. 36 indexed citations
16.
Bo, Jian, Navneet Narula, Quanyi Li, Emile R. Mohler, & Robert J. Levy. (2003). Progression of aortic valve stenosis: TGF-β1 is present in calcified aortic valve cusps and promotes aortic valve interstitial cell calcification via apoptosis. The Annals of Thoracic Surgery. 75(2). 457–465. 360 indexed citations
17.
Li, Quanyi, et al.. (2002). Thymosin beta4 regulation, expression and function in aortic valve interstitial cells.. PubMed. 11(5). 726–35. 12 indexed citations
18.
Xu, Jie, Jian Bo, Richard C. Chu, et al.. (2002). Serotonin Mechanisms in Heart Valve Disease II. American Journal Of Pathology. 161(6). 2209–2218. 83 indexed citations
19.
Bo, Jian, Peter Lloyd Jones, Quanyi Li, et al.. (2001). Matrix Metalloproteinase-2 Is Associated with Tenascin-C in Calcific Aortic Stenosis. American Journal Of Pathology. 159(1). 321–327. 135 indexed citations
20.

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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