Cui-Wei Xie

2.0k total citations
27 papers, 1.7k citations indexed

About

Cui-Wei Xie is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Cui-Wei Xie has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 14 papers in Physiology and 9 papers in Molecular Biology. Recurrent topics in Cui-Wei Xie's work include Neuroscience and Neuropharmacology Research (13 papers), Neuropeptides and Animal Physiology (10 papers) and Alzheimer's disease research and treatments (8 papers). Cui-Wei Xie is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Neuropeptides and Animal Physiology (10 papers) and Alzheimer's disease research and treatments (8 papers). Cui-Wei Xie collaborates with scholars based in United States, China and Bulgaria. Cui-Wei Xie's co-authors include Qi-Sheng Chen, Danyun Zhao, Weizheng Wei, Yutaka Hirakura, Bruce L. Kagan, Ji‐Sheng Han, Miao Tan, Joseph B. Watson, Takeshi Shimahara and Christopher J. Evans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Cui-Wei Xie

26 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
Cui-Wei Xie United States 21 1.0k 957 712 272 159 27 1.7k
Timothy D. Moran Canada 10 1.1k 1.0× 1.0k 1.1× 635 0.9× 314 1.2× 235 1.5× 11 1.7k
Virginia L. Smith‐Swintosky United States 23 723 0.7× 694 0.7× 734 1.0× 250 0.9× 262 1.6× 35 2.0k
Michael Rigby United Kingdom 18 651 0.6× 986 1.0× 1.0k 1.4× 162 0.6× 91 0.6× 27 1.9k
Daniel Auld Canada 15 626 0.6× 655 0.7× 620 0.9× 444 1.6× 215 1.4× 24 1.6k
Herman Devijver Belgium 22 1.0k 1.0× 606 0.6× 957 1.3× 340 1.3× 346 2.2× 31 2.0k
Neng‐Wei Hu Ireland 20 1.0k 1.0× 758 0.8× 510 0.7× 250 0.9× 287 1.8× 43 1.5k
Ian A. Napier Australia 10 1.3k 1.2× 897 0.9× 771 1.1× 430 1.6× 330 2.1× 10 2.0k
Ana Ricobaraza Spain 20 618 0.6× 588 0.6× 1.1k 1.5× 498 1.8× 217 1.4× 35 2.2k
Jean‐Guy Chabot Canada 28 942 0.9× 1.2k 1.2× 889 1.2× 172 0.6× 280 1.8× 56 2.3k
Nadia Canu Italy 28 882 0.9× 732 0.8× 982 1.4× 247 0.9× 213 1.3× 43 2.0k

Countries citing papers authored by Cui-Wei Xie

Since Specialization
Citations

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

Fields of papers citing papers by Cui-Wei Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cui-Wei Xie. 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 Cui-Wei Xie. The network helps show where Cui-Wei Xie may publish in the future.

Co-authorship network of co-authors of Cui-Wei Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Cui-Wei Xie. A scholar is included among the top collaborators of Cui-Wei Xie 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 Cui-Wei Xie. Cui-Wei Xie 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.
Yu, Guoqin, Yang Song, Cui-Wei Xie, et al.. (2019). MiR-142a-3p and miR-155-5p reduce methamphetamine-induced inflammation: Role of the target protein Peli1. Toxicology and Applied Pharmacology. 370. 145–153. 18 indexed citations
3.
Wang, Tingwei, Cui-Wei Xie, Jingying Zhu, et al.. (2017). Involvement of Insulin Signaling Disturbances in Bisphenol A-Induced Alzheimer’s Disease-like Neurotoxicity. Scientific Reports. 7(1). 7497–7497. 64 indexed citations
4.
Zhu, Xun, et al.. (2016). The association between telomere length and cancer risk in population studies. Scientific Reports. 6(1). 22243–22243. 113 indexed citations
5.
Du, Jiangbo, Xun Zhu, Cui-Wei Xie, et al.. (2015). Telomere length, genetic variants and gastric cancer risk in a Chinese population. Carcinogenesis. 36(9). 963–970. 47 indexed citations
6.
Mittal, Nitish, Miao Tan, Nina Desai, et al.. (2012). Evidence that Behavioral Phenotypes of Morphine in β-arr2−/− Mice Are Due to the Unmasking of JNK Signaling. Neuropsychopharmacology. 37(8). 1953–1962. 30 indexed citations
7.
Washburn, Lorraine, Tina Bilousova, Nathalie Escande‐Beillard, et al.. (2010). Enhanced neuronal expression of major histocompatibility complex class I leads to aberrations in neurodevelopment and neurorepair. Journal of Neuroimmunology. 232(1-2). 8–16. 25 indexed citations
8.
Monien, Bernhard H., Aleksey Lomakin, Erica A. Fradinger, et al.. (2010). Mechanistic Investigation of the Inhibition of Aβ42 Assembly and Neurotoxicity by Aβ42 C-Terminal Fragments. Biochemistry. 49(30). 6358–6364. 48 indexed citations
9.
Tan, Miao, Wendy Walwyn, Christopher J. Evans, & Cui-Wei Xie. (2009). p38 MAPK and β-Arrestin 2 Mediate Functional Interactions between Endogenous μ-Opioid and α2A-Adrenergic Receptors in Neurons. Journal of Biological Chemistry. 284(10). 6270–6281. 45 indexed citations
10.
Xie, Cui-Wei, et al.. (2009). P3‐150: Histone acetylation enhances neurotrophin expression and synaptic plasticity in aging brain. Alzheimer s & Dementia. 5(4S_Part_13). 1 indexed citations
11.
Xie, Cui-Wei. (2004). Calcium-Regulated Signaling Pathways: Role in Amyloid β-Induced Synaptic Dysfunction. NeuroMolecular Medicine. 6(1). 53–64. 58 indexed citations
12.
Chen, Qi-Sheng, Weizheng Wei, Takeshi Shimahara, & Cui-Wei Xie. (2002). Alzheimer Amyloid β-Peptide Inhibits the Late Phase of Long-Term Potentiation through Calcineurin-Dependent Mechanisms in the Hippocampal Dentate Gyrus. Neurobiology of Learning and Memory. 77(3). 354–371. 151 indexed citations
13.
Chen, Qi-Sheng, Bruce L. Kagan, Yutaka Hirakura, & Cui-Wei Xie. (2000). Impairment of hippocampal long-term potentiation by Alzheimer amyloid ?-peptides. Journal of Neuroscience Research. 60(1). 65–72. 227 indexed citations
14.
Wei, Weizheng & Cui-Wei Xie. (1999). Orphanin FQ Suppresses NMDA Receptor-Dependent Long-Term Depression and Depotentiation in Hippocampal Dentate Gyrus. Learning & Memory. 6(5). 467–477. 19 indexed citations
15.
Xie, Cui-Wei, et al.. (1998). Orphanin FQ/Nociceptin Inhibits Synaptic Transmission and Long-Term Potentiation in Rat Dentate Gyrus Through Postsynaptic Mechanisms. Journal of Neurophysiology. 80(3). 1277–1284. 62 indexed citations
16.
Fein, Jeffrey A., et al.. (1997). Orphanin FQ inhibits synaptic transmission and long-term potentiation in rat hippocampus. Hippocampus. 7(1). 88–94. 104 indexed citations
17.
Xie, Cui-Wei & Darrell V. Lewis. (1997). Involvement of cAMP-Dependent Protein Kinase in μ-Opioid Modulation of NMDA-Mediated Synaptic Currents. Journal of Neurophysiology. 78(2). 759–766. 30 indexed citations
18.
19.
Xie, Cui-Wei, Clifford L. Mitchell, & Jau‐Shyong Hong. (1990). Perforant path stimulation differentially alters prodynorphin mRNA and proenkephalin mRNA levels in the entorhinal cortex-hippocampal region. Molecular Brain Research. 7(3). 199–205. 20 indexed citations
20.
Xie, Cui-Wei, et al.. (1989). Deep prepyriform cortex kindling differentially alters the levels of prodynorphin mRNA in rat hippocampus and striatum. Brain Research. 495(1). 156–160. 31 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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