Cai‐Lian Cui

2.0k total citations
82 papers, 1.7k citations indexed

About

Cai‐Lian Cui is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Complementary and alternative medicine. According to data from OpenAlex, Cai‐Lian Cui has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cellular and Molecular Neuroscience, 38 papers in Cognitive Neuroscience and 31 papers in Complementary and alternative medicine. Recurrent topics in Cai‐Lian Cui's work include Acupuncture Treatment Research Studies (31 papers), Neuroscience and Neuropharmacology Research (26 papers) and Neurotransmitter Receptor Influence on Behavior (25 papers). Cai‐Lian Cui is often cited by papers focused on Acupuncture Treatment Research Studies (31 papers), Neuroscience and Neuropharmacology Research (26 papers) and Neurotransmitter Receptor Influence on Behavior (25 papers). Cai‐Lian Cui collaborates with scholars based in China, United States and Montenegro. Cai‐Lian Cui's co-authors include Ji‐Sheng Han, Liuzhen Wu, Yao‐Ying Ma, Changyong Guo, Peng Yu, Xingjie Ping, Xiufang Lv, David Yue-Wei Lee, Fei Luo and Yijing Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Cai‐Lian Cui

81 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
Cai‐Lian Cui China 26 835 697 513 337 326 82 1.7k
Maria Gabriela Menezes Oliveira Brazil 25 705 0.8× 734 1.1× 171 0.3× 278 0.8× 321 1.0× 68 1.8k
Patrice Venault France 22 847 1.0× 427 0.6× 106 0.2× 125 0.4× 453 1.4× 44 1.5k
Gregory T. Golden United States 31 1.2k 1.5× 320 0.5× 216 0.4× 335 1.0× 1.1k 3.4× 57 2.4k
Mohammad Nasehi Iran 26 1.2k 1.4× 963 1.4× 73 0.1× 288 0.9× 483 1.5× 205 2.4k
Marcelo M.S. Lima Brazil 28 880 1.1× 551 0.8× 55 0.1× 401 1.2× 353 1.1× 73 2.3k
Yukio Ichitani Japan 24 762 0.9× 467 0.7× 74 0.1× 231 0.7× 257 0.8× 64 1.6k
Arthur J. Mayorga United States 19 812 1.0× 163 0.2× 87 0.2× 258 0.8× 387 1.2× 27 1.6k
Haishui Shi China 22 712 0.9× 587 0.8× 76 0.1× 167 0.5× 501 1.5× 64 1.7k
Juan Facundo Morici Argentina 11 526 0.6× 310 0.4× 56 0.1× 303 0.9× 369 1.1× 15 1.5k
Jingxia Cai China 10 526 0.6× 495 0.7× 74 0.1× 90 0.3× 191 0.6× 19 961

Countries citing papers authored by Cai‐Lian Cui

Since Specialization
Citations

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

Fields of papers citing papers by Cai‐Lian Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cai‐Lian Cui. 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 Cai‐Lian Cui. The network helps show where Cai‐Lian Cui may publish in the future.

Co-authorship network of co-authors of Cai‐Lian Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Cai‐Lian Cui. A scholar is included among the top collaborators of Cai‐Lian Cui 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 Cai‐Lian Cui. Cai‐Lian Cui 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.
2.
Meng, Jia, Xuewei Wang, Haolin Zhang, et al.. (2019). MicroRNA-132 in the Adult Dentate Gyrus is Involved in Opioid Addiction Via Modifying the Differentiation of Neural Stem Cells. Neuroscience Bulletin. 35(3). 486–496. 21 indexed citations
3.
Ma, Hui, et al.. (2019). The role of the nucleus accumbens OXR1 in cocaine-induced locomotor sensitization. Behavioural Brain Research. 379. 112365–112365. 5 indexed citations
4.
Ma, Hui, Na Wang, Xinjuan Wang, et al.. (2018). Wnt7a in Mouse Insular Cortex Contributes to Anxiety-like Behavior During Protracted Abstinence from Morphine. Neuroscience. 394. 164–176. 15 indexed citations
5.
Liu, Shuli, Zhiyan Wang, Yijing Li, et al.. (2017). CRFR1 in the ventromedial caudate putamen modulates acute stress-enhanced expression of cocaine locomotor sensitization. Neuropharmacology. 121. 60–68. 5 indexed citations
6.
Wang, Zhiyan, Shengxiang Liang, Tong Xie, et al.. (2017). Distinct Roles of Dopamine Receptors in the Lateral Thalamus in a Rat Model of Decisional Impulsivity. Neuroscience Bulletin. 33(4). 413–422. 10 indexed citations
7.
Lv, Xiufang, et al.. (2012). Essential role of NR2B-containing NMDA receptor–ERK pathway in nucleus accumbens shell in morphine-associated contextual memory. Brain Research Bulletin. 89(1-2). 22–30. 30 indexed citations
8.
Shen, Fang, et al.. (2012). Role of the NO/sGC/PKG signaling pathway of hippocampal CA1 in morphine-induced reward memory. Neurobiology of Learning and Memory. 98(2). 130–138. 26 indexed citations
9.
Hao, Ying, Yue Zhang, Jing Liu, et al.. (2012). Thirty minute transcutaneous electric acupoint stimulation modulates resting state brain activities: A perfusion and BOLD fMRI study. Brain Research. 1457. 13–25. 25 indexed citations
10.
Ping, Xingjie, Yao‐Ying Ma, Yijing Li, et al.. (2011). Essential role of protein kinase C in morphine-induced rewarding memory. Neuropharmacology. 62(2). 959–966. 9 indexed citations
11.
Ma, Yao‐Ying, Meng Li, Changyong Guo, et al.. (2009). Dose- and time-dependent, context-induced elevation of dopamine and its metabolites in the nucleus accumbens of morphine-induced CPP rats. Behavioural Brain Research. 204(1). 192–199. 34 indexed citations
12.
Liang, Jing, Xingjie Ping, Yijing Li, et al.. (2009). Morphine-induced conditioned place preference in rats is inhibited by electroacupuncture at 2 Hz: Role of enkephalin in the nucleus accumbens. Neuropharmacology. 58(1). 233–240. 40 indexed citations
13.
Ma, Yao‐Ying, Carlos Cepeda, & Cai‐Lian Cui. (2009). The Role of Striatal Nmda Receptors in Drug Addiction. International review of neurobiology. 89. 131–146. 24 indexed citations
14.
Overstreet, David H., Cai‐Lian Cui, Yao‐Ying Ma, et al.. (2008). Electroacupuncture Reduces Voluntary Alcohol Intake in Alcohol-preferring Rats via an Opiate-sensitive Mechanism. Neurochemical Research. 33(10). 2166–2170. 17 indexed citations
15.
16.
Wang, Jin‐Yan, et al.. (2006). A comparison between spontaneous electroencephalographic activities induced by morphine and morphine-related environment in rats. Brain Research. 1136(1). 88–101. 14 indexed citations
17.
Ma, Yao‐Ying, et al.. (2006). NR2B-containing NMDA receptor is required for morphine-but not stress-induced reinstatement. Experimental Neurology. 203(2). 309–319. 69 indexed citations
18.
Liang, Jing, et al.. (2005). Repeated 2 Hz peripheral electrical stimulations suppress morphine-induced CPP and improve spatial memory ability in rats. Experimental Neurology. 194(2). 550–556. 38 indexed citations
19.
Ren, Yanhua, et al.. (2002). Peripheral electric stimulation attenuates the expression of cocaine-induced place preference in rats. Brain Research. 957(1). 129–135. 18 indexed citations
20.
Cui, Cai‐Lian, et al.. (2000). Spinal kappa-opioid system plays an important role in suppressing morphine withdrawal syndrome in the rat. Neuroscience Letters. 295(1-2). 45–48. 23 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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