Liuyi Dong

480 total citations
20 papers, 370 citations indexed

About

Liuyi Dong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Complementary and alternative medicine. According to data from OpenAlex, Liuyi Dong has authored 20 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Complementary and alternative medicine. Recurrent topics in Liuyi Dong's work include Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Liuyi Dong is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Neurological Disease Mechanisms and Treatments (2 papers). Liuyi Dong collaborates with scholars based in China and United States. Liuyi Dong's co-authors include Gongliang Zhang, Xian Wu, Robert W. Stackman, Yong-Mei Zhang, Gang Pang, Zhiwu Chen, Lanlan Zhou, Guangwu Li, Xueying Huang and Wenjing Zhu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Life Sciences and Neuropharmacology.

In The Last Decade

Liuyi Dong

19 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liuyi Dong China 12 171 100 40 38 32 20 370
Qingshan Liu China 14 147 0.9× 53 0.5× 54 1.4× 35 0.9× 32 1.0× 30 430
Xiaoqin Cheng China 11 175 1.0× 92 0.9× 32 0.8× 80 2.1× 54 1.7× 22 495
Manas Kinra India 15 176 1.0× 38 0.4× 62 1.6× 30 0.8× 30 0.9× 30 546
Weijun Wang China 10 79 0.5× 83 0.8× 30 0.8× 48 1.3× 22 0.7× 28 406
Pallavi Sharma India 12 197 1.2× 89 0.9× 47 1.2× 36 0.9× 19 0.6× 25 480
Safoura Khamse Iran 11 171 1.0× 91 0.9× 87 2.2× 37 1.0× 17 0.5× 27 469
Nobuko Matsumura Japan 11 171 1.0× 97 1.0× 54 1.4× 20 0.5× 7 0.2× 18 436
Wing Man Chan Hong Kong 12 205 1.2× 70 0.7× 65 1.6× 51 1.3× 28 0.9× 23 370
Ji Hyun Lee South Korea 15 166 1.0× 76 0.8× 150 3.8× 63 1.7× 33 1.0× 37 764
Engy A. Abdel‐Rahman Egypt 11 159 0.9× 50 0.5× 101 2.5× 27 0.7× 20 0.6× 19 449

Countries citing papers authored by Liuyi Dong

Since Specialization
Citations

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

Fields of papers citing papers by Liuyi Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuyi Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Liuyi Dong. A scholar is included among the top collaborators of Liuyi Dong 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 Liuyi Dong. Liuyi Dong 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.
Zha, Binshan, et al.. (2024). Piceatannol protects against myocardial ischemia/reperfusion injury by inhibiting ferroptosis via Nrf-2 signaling-mediated iron metabolism. Biochemical and Biophysical Research Communications. 700. 149598–149598. 9 indexed citations
2.
Chen, Shuo, Fangfang Guo, Xin Liu, et al.. (2022). Roles of the RhoA-ROCK Signaling Pathway in the Endothelial H2S Production and Vasodilation in Rat Cerebral Arteries. ACS Omega. 7(22). 18498–18508. 12 indexed citations
3.
Chen, Yin, Mingliang Li, Shuo Chen, et al.. (2021). 3D‐Printed Light‐Driven Microswimmer with Built‐In Micromotors. Advanced Materials Technologies. 7(1). 19 indexed citations
4.
5.
Dong, Liuyi, et al.. (2017). [Clinical efficacy and mechanism of total glucosides from white paeony for radioactive liver damage].. PubMed. 42(7). 1382–1389. 1 indexed citations
6.
Dong, Liuyi, Ye Yuan, Yiliang Chen, et al.. (2017). Diet-induced obesity links to ER positive breast cancer progression via LPA/PKD-1-CD36 signaling-mediated microvascular remodeling. Oncotarget. 8(14). 22550–22562. 25 indexed citations
7.
Pang, Gang, Xian Wu, Xinrong Tao, et al.. (2016). Blockade of Serotonin 5-HT2A Receptors Suppresses Behavioral Sensitization and Naloxone-Precipitated Withdrawal Symptoms in Morphine-Treated Mice. Frontiers in Pharmacology. 7. 514–514. 28 indexed citations
8.
Ren, Bin, Dorothée Weihrauch, Deron W. Jones, et al.. (2016). Abstract 15673: LPA/PKD-1-FoxO1-CD36 Signaling Axis Regulates Capillary Arterialization in Ischemic Conditions. 134. 3 indexed citations
9.
Ren, Bin, RL Silverstein, Rong Yuan, & Liuyi Dong. (2016). Endothelial Cell Protein Kinase Pkd-1 Signaling is Essential for Improving Tissue Ischemia via Arteriogenic Reprogramming. Journal of Investigative Medicine. 64(4). 915–915. 1 indexed citations
10.
Zhang, Gongliang, Xian Wu, Yong-Mei Zhang, et al.. (2015). Activation of serotonin 5-HT2C receptor suppresses behavioral sensitization and naloxone-precipitated withdrawal symptoms in morphine-dependent mice. Neuropharmacology. 101. 246–254. 39 indexed citations
11.
Wu, Xian, Gang Pang, Yong-Mei Zhang, et al.. (2015). Activation of serotonin 5-HT2C receptor suppresses behavioral sensitization and naloxone-precipitated withdrawal symptoms in heroin-treated mice. Neuroscience Letters. 607. 23–28. 46 indexed citations
12.
Wang, Yuchan, Weizu Li, Yu Wu, et al.. (2015). Acid-sensing ion channel 1a contributes to the effect of extracellular acidosis on NLRP1 inflammasome activation in cortical neurons. Journal of Neuroinflammation. 12(1). 246–246. 51 indexed citations
13.
Zhu, Huaqing, Feng Wang, Liuyi Dong, Qing Zhou, & Yuan Wang. (2014). MicroRNA1 modulates oxLDL-induced hyperlipidemia by down-regulating MLCK and ERK/p38 MAPK pathway. Life Sciences. 107(1-2). 21–26. 11 indexed citations
14.
15.
Dong, Liuyi. (2011). Protection and mechanism of effective fraction from Buyang Huanwu Decoction on focal cerebral ischemia-reperfusion injury in rats. Zhongcaoyao.
16.
Dong, Liuyi, et al.. (2011). [Effect of jinqiaomai on expression of TLR2/4, MyD88 mRNA and IkappaB-alpha in lung tissue of rats with Klebsiella pneumonia].. PubMed. 36(2). 200–4. 3 indexed citations
17.
Dong, Liuyi. (2010). Effect of Magnolia grandifore oil on lipid metabolism in hyperlipoidemic rat. 1 indexed citations
18.
Xu, Siqi, et al.. (2008). Effects of Wy14643 on hepatic ischemia reperfusion injury in rats. World Journal of Gastroenterology. 14(45). 6936–6936. 14 indexed citations
19.
Yan, Guo, Liuyi Dong, & Zhiwu Chen. (2008). [Protective effect of injection of Danhong against acute myocardial ischemia in dogs].. PubMed. 33(12). 1463–5. 4 indexed citations
20.
Song, Qin, et al.. (2006). Inhibitory effect of Total Flavone of Abelmoschus manihot L. Medic on NMDA receptor-mediated current in cultured rat hippocampal neurons. Neuroscience Research. 55(2). 142–145. 22 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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