Yanning Qian

2.3k total citations
38 papers, 1.7k citations indexed

About

Yanning Qian is a scholar working on Neurology, Developmental Neuroscience and Immunology. According to data from OpenAlex, Yanning Qian has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Neurology, 13 papers in Developmental Neuroscience and 10 papers in Immunology. Recurrent topics in Yanning Qian's work include Neuroinflammation and Neurodegeneration Mechanisms (23 papers), Anesthesia and Neurotoxicity Research (12 papers) and Intensive Care Unit Cognitive Disorders (8 papers). Yanning Qian is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (23 papers), Anesthesia and Neurotoxicity Research (12 papers) and Intensive Care Unit Cognitive Disorders (8 papers). Yanning Qian collaborates with scholars based in China, Australia and United States. Yanning Qian's co-authors include Hongquan Dong, Susu Zhang, Xiang Zhang, Jie Sun, Wenjie Jin, Xiang Zhang, Shunmei Lu, Xiang Zhang, Qingqing Qian and Nana Li and has published in prestigious journals such as Neuroscience, Journal of Neurochemistry and Behavioural Brain Research.

In The Last Decade

Yanning Qian

36 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanning Qian China 25 699 424 381 351 336 38 1.7k
Hongquan Dong China 25 743 1.1× 397 0.9× 393 1.0× 391 1.1× 516 1.5× 39 1.9k
Martín Valdearcos United States 18 644 0.9× 538 1.3× 307 0.8× 261 0.7× 291 0.9× 27 2.1k
Amy M. Hein United States 14 621 0.9× 202 0.5× 314 0.8× 187 0.5× 143 0.4× 16 1.3k
Jianbin Tong China 24 579 0.8× 734 1.7× 404 1.1× 378 1.1× 107 0.3× 65 2.3k
Diana M. Norden United States 15 1.4k 2.0× 453 1.1× 247 0.6× 105 0.3× 463 1.4× 28 2.3k
Ligen Shi China 24 895 1.3× 701 1.7× 172 0.5× 98 0.3× 486 1.4× 59 2.3k
Helton José Reis Brazil 27 322 0.5× 525 1.2× 153 0.4× 94 0.3× 89 0.3× 75 1.9k
David Martin United States 24 789 1.1× 746 1.8× 161 0.4× 59 0.2× 555 1.7× 42 2.6k
Benoît Haelewyn France 18 372 0.5× 381 0.9× 419 1.1× 164 0.5× 56 0.2× 25 1.6k
Jae‐Hong Kim South Korea 19 841 1.2× 435 1.0× 176 0.5× 52 0.1× 285 0.8× 37 1.8k

Countries citing papers authored by Yanning Qian

Since Specialization
Citations

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

Fields of papers citing papers by Yanning Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanning Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Yanning Qian. A scholar is included among the top collaborators of Yanning Qian 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 Yanning Qian. Yanning Qian 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.
Wang, Leilei, Ting Zhang, Yanning Qian, et al.. (2025). Hypoxia-Induced VGF Promotes Cell Migration and Invasion in Prostate Cancer via the PI3K/Akt Axis. Frontiers in Bioscience-Landmark. 30(2). 25522–25522. 1 indexed citations
2.
Qian, Qingqing, Xiang Zhang, Jiawen Xu, et al.. (2019). Pro‐inflammatory role of high‐mobility group box‐1 on brain mast cells via the RAGE/NF‐κB pathway. Journal of Neurochemistry. 151(5). 595–607. 9 indexed citations
3.
Dong, Hongquan, Yiming Wang, Xiaojun Zhang, et al.. (2019). Stabilization of Brain Mast Cells Alleviates LPS-Induced Neuroinflammation by Inhibiting Microglia Activation. Frontiers in Cellular Neuroscience. 13. 191–191. 49 indexed citations
4.
5.
Li, Nana, et al.. (2017). Bidirectional relationship of mast cells-neurovascular unit communication in neuroinflammation and its involvement in POCD. Behavioural Brain Research. 322(Pt A). 60–69. 37 indexed citations
6.
Zhang, Yan, Liang Hu, Jie Qu, et al.. (2017). Lidocaine alleviates morphine tolerance via AMPK-SOCS3-dependent neuroinflammation suppression in the spinal cord. Journal of Neuroinflammation. 14(1). 211–211. 42 indexed citations
7.
Wu, Yong, Xiaobao Zhang, Yanning Qian, & Hang Xiao. (2016). [The protective effects of dexmedetomidine on perioperative myocardial injury in patients with hypertensive myocardial hypertrophy].. PubMed. 32(5). 459–462. 2 indexed citations
8.
He, Mingfeng, Hongquan Dong, Shunmei Lu, et al.. (2016). Astrocyte-Derived CCL2 is Associated with M1 Activation and Recruitment of Cultured Microglial Cells. Cellular Physiology and Biochemistry. 38(3). 859–870. 69 indexed citations
9.
Dong, Hongquan, Xiang Zhang, Yiming Wang, et al.. (2016). Suppression of Brain Mast Cells Degranulation Inhibits Microglial Activation and Central Nervous System Inflammation. Molecular Neurobiology. 54(2). 997–1007. 72 indexed citations
10.
Pan, Yinbing, Lai Jiang, Liang Hu, et al.. (2016). Metformin reduces morphine tolerance by inhibiting microglial-mediated neuroinflammation. Journal of Neuroinflammation. 13(1). 294–294. 77 indexed citations
11.
Li, Nana, Xiang Zhang, Hongquan Dong, et al.. (2016). Lithium Ameliorates LPS-Induced Astrocytes Activation Partly via Inhibition of Toll-Like Receptor 4 Expression. Cellular Physiology and Biochemistry. 38(2). 714–725. 48 indexed citations
12.
Zhang, Susu, Hongquan Dong, Xiang Zhang, et al.. (2015). Cerebral mast cells contribute to postoperative cognitive dysfunction by promoting blood brain barrier disruption. Behavioural Brain Research. 298(Pt B). 158–166. 76 indexed citations
13.
Sun, Jie, Susu Zhang, Xiang Zhang, et al.. (2015). IL-17A is implicated in lipopolysaccharide-induced neuroinflammation and cognitive impairment in aged rats via microglial activation. Journal of Neuroinflammation. 12(1). 165–165. 111 indexed citations
14.
Zhang, Xiaobao, Jun Wang, Wenyi Qian, et al.. (2014). Dexmedetomidine Inhibits Tumor Necrosis Factor-Alpha and Interleukin 6 in Lipopolysaccharide-Stimulated Astrocytes by Suppression of c-Jun N-Terminal Kinases. Inflammation. 37(3). 942–949. 58 indexed citations
15.
Zhang, Xiaobao, Jun Wang, Wenyi Qian, et al.. (2014). Dexmedetomidine inhibits inducible nitric oxide synthase in lipopolysaccharide-stimulated microglia by suppression of extracellular signal-regulated kinase. Neurological Research. 37(3). 238–245. 22 indexed citations
16.
Gui, Bo, et al.. (2012). Neuroprotective Effects of Pretreatment with Propofol in LPS-Induced BV-2 Microglia Cells: Role of TLR4 and GSK-3β. Inflammation. 35(5). 1632–1640. 43 indexed citations
17.
18.
Qian, Yanning & Chen Chen. (2008). Effects of intraperitoneal (IP) different doses of ketamine on cognitive function in aged rats. European Journal of Anaesthesiology. 25(Sup 44). 140–141.
19.
20.
Sun, Jie, Lin Wang, Jin-Chun Shen, Zhongyun Wang, & Yanning Qian. (2007). Effect of propofol on mucous permeability and inflammatory mediators expression in the intestine following traumatic brain injury in rats. Cytokine. 40(2). 151–156. 14 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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