Ning Wu

1.1k total citations
43 papers, 858 citations indexed

About

Ning Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Ning Wu has authored 43 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cellular and Molecular Neuroscience, 26 papers in Molecular Biology and 11 papers in Cognitive Neuroscience. Recurrent topics in Ning Wu's work include Neurotransmitter Receptor Influence on Behavior (31 papers), Receptor Mechanisms and Signaling (20 papers) and Neuroscience and Neuropharmacology Research (12 papers). Ning Wu is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (31 papers), Receptor Mechanisms and Signaling (20 papers) and Neuroscience and Neuropharmacology Research (12 papers). Ning Wu collaborates with scholars based in China, Czechia and United States. Ning Wu's co-authors include Jin Li, Ruibin Su, Rui Song, Xin‐Qiang Lu, Ri‐Fang Yang, Ying Chen, Xiao Han, Fēi Li, Yin Liu and Jian‐Quan Zheng and has published in prestigious journals such as Scientific Reports, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Ning Wu

43 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Wu China 18 595 354 199 99 95 43 858
Tobias Halene United States 14 364 0.6× 431 1.2× 270 1.4× 89 0.9× 94 1.0× 21 908
Karla Drescher Germany 17 607 1.0× 488 1.4× 149 0.7× 77 0.8× 166 1.7× 31 1.0k
Jamie E. Toalston United States 18 603 1.0× 332 0.9× 152 0.8× 105 1.1× 60 0.6× 27 735
Maddalena Mereu Italy 20 737 1.2× 462 1.3× 278 1.4× 66 0.7× 189 2.0× 33 1.2k
François Gastambide United Kingdom 16 511 0.9× 340 1.0× 281 1.4× 83 0.8× 93 1.0× 21 863
Sami Ben Hamida United States 23 932 1.6× 582 1.6× 269 1.4× 127 1.3× 166 1.7× 43 1.3k
Zheng‐Ming Ding United States 21 750 1.3× 472 1.3× 208 1.0× 154 1.6× 52 0.5× 44 1.0k
James Maksymetz United States 12 422 0.7× 353 1.0× 162 0.8× 85 0.9× 76 0.8× 13 691
Fatemeh Khakpai Iran 17 453 0.8× 244 0.7× 297 1.5× 125 1.3× 167 1.8× 71 926
Sonja J. Stutz United States 20 720 1.2× 442 1.2× 109 0.5× 116 1.2× 121 1.3× 29 1.1k

Countries citing papers authored by Ning Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Wu. A scholar is included among the top collaborators of Ning Wu 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 Ning Wu. Ning Wu 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.
Jing, Manyi, Xiao Han, Minmin Luo, et al.. (2022). Activation of mesocorticolimbic dopamine projections initiates cue-induced reinstatement of reward seeking in mice. Acta Pharmacologica Sinica. 43(9). 2276–2288. 7 indexed citations
3.
Li, Fēi, et al.. (2021). Insights into the mechanisms underlying opioid use disorder and potential treatment strategies. British Journal of Pharmacology. 180(7). 862–878. 6 indexed citations
4.
5.
Wu, Ning, et al.. (2021). Involvement of the nociceptin opioid peptide receptor in morphine-induced antinociception, tolerance and physical dependence in female mice. Metabolic Brain Disease. 36(8). 2243–2253. 2 indexed citations
6.
Wu, Ning, et al.. (2019). Inhibition of naltrexone on relapse in methamphetamine self-administration and conditioned place preference in rats. European Journal of Pharmacology. 865. 172671–172671. 10 indexed citations
7.
Shi, Jingjing, Huifen Liu, Zhiyuan Wang, et al.. (2019). Dorsolateral striatal miR-134 modulates excessive methamphetamine intake in self-administering rats. Metabolic Brain Disease. 34(4). 1029–1041. 4 indexed citations
8.
Lv, Yang, Manyi Jing, Ning Wu, et al.. (2018). Selective dopamine D3 receptor antagonist YQA14 inhibits morphine-induced behavioral sensitization in wild type, but not in dopamine D3 receptor knockout mice. Acta Pharmacologica Sinica. 40(5). 583–588. 16 indexed citations
9.
Shi, Jingjing, et al.. (2018). Modulation of miR-139-5p on chronic morphine-induced, naloxone-precipitated cAMP overshoot in vitro. Metabolic Brain Disease. 33(5). 1501–1508. 5 indexed citations
10.
Song, Rui, et al.. (2016). Nucleus accumbens hyperpolarization-activated cyclic nucleotide-gated channels modulate methamphetamine self-administration in rats. Psychopharmacology. 233(15-16). 3017–3029. 13 indexed citations
11.
Gou, Hongyan, Fēi Li, Rui Song, et al.. (2016). Y-QA31, a novel dopamine D3 receptor antagonist, exhibits antipsychotic-like properties in preclinical animal models of schizophrenia. Acta Pharmacologica Sinica. 37(3). 322–333. 21 indexed citations
13.
Song, Rui, Ying Chen, Ri‐Fang Yang, et al.. (2015). A selective D3 receptor antagonist YQA14 attenuates methamphetamine-induced behavioral sensitization and conditioned place preference in mice. Acta Pharmacologica Sinica. 37(2). 157–165. 38 indexed citations
14.
Wu, Ning, et al.. (2015). Recurrent Episodes of Stroke-Like Symptoms in a Patient with Charcot-Marie-Tooth Neuropathy X Type 1. Case Reports in Neurology. 7(3). 247–252. 6 indexed citations
15.
Li, Qiang, Yarong Wang, Yi Zhang, et al.. (2012). Craving correlates with mesolimbic responses to heroin-related cues in short-term abstinence from heroin: An event-related fMRI study. Brain Research. 1469. 63–72. 102 indexed citations
16.
Li, Fēi, Ning Wu, Ruibin Su, et al.. (2011). Imidazoline receptor antisera‐selected/Nischarin regulates the effect of agmatine on the development of morphine dependence. Addiction Biology. 17(2). 392–408. 22 indexed citations
17.
Su, Ruibin, Weiping Wang, Xin‐Qiang Lu, et al.. (2009). Agmatine blocks acquisition and re-acquisition of intravenous morphine self-administration in rats. Pharmacology Biochemistry and Behavior. 92(4). 676–682. 25 indexed citations
18.
Su, Ruibin, Xin‐Qiang Lu, Yü Huang, et al.. (2008). Effects of intragastric agmatine on morphine-induced physiological dependence in beagle dogs and rhesus monkeys. European Journal of Pharmacology. 587(1-3). 155–162. 23 indexed citations
19.
Gao, Yan, Fēi Li, Ning Wu, et al.. (2008). Effect of agmatine on DAMGO-induced mu-opioid receptor down-regulation and internalization via activation of IRAS, a candidate for imidazoline I1 receptor. European Journal of Pharmacology. 599(1-3). 18–23. 5 indexed citations
20.
Su, Ruibin, Yanhua Ren, Yang Liu, et al.. (2008). Agmatine inhibits morphine-induced drug discrimination in rats. European Journal of Pharmacology. 593(1-3). 62–67. 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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