Gui‐Ying Zan

403 total citations
19 papers, 291 citations indexed

About

Gui‐Ying Zan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Gui‐Ying Zan has authored 19 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Gui‐Ying Zan's work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (9 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Gui‐Ying Zan is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (9 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Gui‐Ying Zan collaborates with scholars based in China. Gui‐Ying Zan's co-authors include Jing‐Gen Liu, Yujun Wang, Min Zhao, Xiaohong Shu, Qian Wang, Yao Liu, Zhong Chen, Weijia Du, Yujie Song and Qian Li and has published in prestigious journals such as Nature Communications, Neuron and Scientific Reports.

In The Last Decade

Gui‐Ying Zan

17 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gui‐Ying Zan China 12 172 109 64 44 38 19 291
Ana David-Pereira Portugal 9 181 1.1× 98 0.9× 105 1.6× 84 1.9× 36 0.9× 15 331
Michael Lewis United States 11 180 1.0× 147 1.3× 41 0.6× 36 0.8× 69 1.8× 18 425
Birgit Bonefeld Denmark 5 119 0.7× 133 1.2× 53 0.8× 26 0.6× 65 1.7× 7 348
Amy DiCamillo United States 8 159 0.9× 123 1.1× 61 1.0× 52 1.2× 31 0.8× 10 353
Linda Rorick‐Kehn United States 7 227 1.3× 208 1.9× 64 1.0× 35 0.8× 46 1.2× 8 368
Trine Hjørnevik Norway 11 132 0.8× 125 1.1× 56 0.9× 71 1.6× 16 0.4× 17 344
María B. Carreira Panama 8 114 0.7× 163 1.5× 40 0.6× 45 1.0× 46 1.2× 21 305
Bryon M. Smith United States 5 79 0.5× 76 0.7× 80 1.3× 37 0.8× 30 0.8× 5 308
Laurie M. Brown United States 12 177 1.0× 99 0.9× 103 1.6× 49 1.1× 80 2.1× 16 459
Elayne Vieira Dias Brazil 9 123 0.7× 62 0.6× 124 1.9× 52 1.2× 33 0.9× 16 293

Countries citing papers authored by Gui‐Ying Zan

Since Specialization
Citations

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

Fields of papers citing papers by Gui‐Ying Zan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gui‐Ying Zan. 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 Gui‐Ying Zan. The network helps show where Gui‐Ying Zan may publish in the future.

Co-authorship network of co-authors of Gui‐Ying Zan

This figure shows the co-authorship network connecting the top 25 collaborators of Gui‐Ying Zan. A scholar is included among the top collaborators of Gui‐Ying Zan 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 Gui‐Ying Zan. Gui‐Ying Zan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Shi, Sai, et al.. (2025). The interaction between central and peripheral immune systems in methamphetamine use disorder: current status and future directions. Journal of Neuroinflammation. 22(1). 40–40. 2 indexed citations
3.
Zan, Gui‐Ying, et al.. (2025). Astrocyte-mediated central amygdala microcircuit gates comorbid anxiety symptoms in chronic pain. Neuron. 113(23). 4037–4054.e6.
4.
Zan, Gui‐Ying, Cenglin Xu, Xueping Li, et al.. (2023). The claustrum-prelimbic cortex circuit through dynorphin/κ-opioid receptor signaling underlies depression-like behaviors associated with social stress etiology. Nature Communications. 14(1). 7903–7903. 20 indexed citations
5.
Du, Weijia, Rui Liu, Gui‐Ying Zan, et al.. (2023). Paraventricular nucleus‐central amygdala oxytocinergic projection modulates pain‐related anxiety‐like behaviors in mice. CNS Neuroscience & Therapeutics. 29(11). 3493–3506. 28 indexed citations
6.
Chen, Yan, Gui‐Ying Zan, Weiwei Wu, et al.. (2022). Upregulation of dynorphin/kappa opioid receptor system in the dorsal hippocampus contributes to morphine withdrawal-induced place aversion. Acta Pharmacologica Sinica. 44(3). 538–545. 11 indexed citations
7.
Yu, Chuan, Weiwei Wu, Yao Liu, et al.. (2021). Alteration of twinfilin1 expression underlies opioid withdrawal-induced remodeling of actin cytoskeleton at synapses and formation of aversive memory. Molecular Psychiatry. 26(11). 6218–6236. 11 indexed citations
8.
Zan, Gui‐Ying, Xiang Sun, Yujun Wang, et al.. (2021). Amygdala dynorphin/κ opioid receptor system modulates depressive-like behavior in mice following chronic social defeat stress. Acta Pharmacologica Sinica. 43(3). 577–587. 17 indexed citations
9.
Zan, Gui‐Ying, Yujun Wang, Xueping Li, et al.. (2021). Amygdalar κ-opioid receptor-dependent upregulating glutamate transporter 1 mediates depressive-like behaviors of opioid abstinence. Cell Reports. 37(5). 109913–109913. 16 indexed citations
10.
Lu, Yuchen, Weiwei Wu, Li Cheng, et al.. (2020). Anteromedial thalamic nucleus to anterior cingulate cortex inputs modulate histaminergic itch sensation. Neuropharmacology. 168. 108028–108028. 14 indexed citations
11.
Wang, Yuhua, et al.. (2018). Pharmacological Characterization of Dezocine, a Potent Analgesic Acting as a κ Partial Agonist and μ Partial Agonist. Scientific Reports. 8(1). 14087–14087. 40 indexed citations
12.
Zan, Gui‐Ying, et al.. (2018). Low-frequency repetitive transcranial magnetic stimulation inhibits the development of methamphetamine-induced conditioned place preference. Behavioural Brain Research. 353. 129–136. 10 indexed citations
13.
Liu, Yao, et al.. (2017). The neuroprotective effect of memantine on methamphetamine-induced cognitive deficits. Behavioural Brain Research. 323. 133–140. 19 indexed citations
14.
Wang, Qian, et al.. (2016). The anxiolytic- and antidepressant-like effects of ATPM-ET, a novel κ agonist and μ partial agonist, in mice. Psychopharmacology. 233(12). 2411–2418. 17 indexed citations
15.
Wang, Yujun, Yuchen Lu, Gui‐Ying Zan, et al.. (2016). κ Opioid receptor activation in different brain regions differentially modulates anxiety-related behaviors in mice. Neuropharmacology. 110(Pt A). 92–101. 21 indexed citations
16.
Du, Jiang, et al.. (2016). Involvement of dorsal striatal α1-containing GABAA receptors in methamphetamine-associated rewarding memories. Neuroscience. 320. 230–238. 21 indexed citations
18.
Wang, Yujun, Gui‐Ying Zan, Chi Xu, et al.. (2015). Role for engagement of β‐arrestin2 by the transactivated EGFR in agonist‐specific regulation of δ receptor activation of ERK1/2. British Journal of Pharmacology. 172(20). 4847–4863. 7 indexed citations
19.
Zan, Gui‐Ying, Qian Wang, Yujun Wang, et al.. (2015). Antagonism of κ opioid receptor in the nucleus accumbens prevents the depressive-like behaviors following prolonged morphine abstinence. Behavioural Brain Research. 291. 334–341. 26 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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