Peng Yan

797 total citations
37 papers, 617 citations indexed

About

Peng Yan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Peng Yan has authored 37 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Peng Yan's work include Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Memory and Neural Mechanisms (5 papers). Peng Yan is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Memory and Neural Mechanisms (5 papers). Peng Yan collaborates with scholars based in China, United States and Belgium. Peng Yan's co-authors include Huili Han, Zhifang Dong, Yu Tian Wang, Jianghua Lai, Wei Wang, Wenting He, Tao Tan, Fangyuan Yin, Zhou Yang and Kun Qiao and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Brain Research.

In The Last Decade

Peng Yan

35 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Yan China 15 232 201 121 83 81 37 617
Na Wang China 17 261 1.1× 214 1.1× 105 0.9× 85 1.0× 72 0.9× 61 779
Rocío E. González-Castañeda Mexico 17 204 0.9× 189 0.9× 152 1.3× 120 1.4× 74 0.9× 32 835
Sixun Yu China 14 211 0.9× 230 1.1× 46 0.4× 100 1.2× 91 1.1× 31 801
Jianghua Lai China 15 222 1.0× 226 1.1× 75 0.6× 46 0.6× 55 0.7× 52 598
Fenglian Xu Canada 18 278 1.2× 274 1.4× 82 0.7× 69 0.8× 164 2.0× 45 974
Maryam Farahmandfar Iran 16 265 1.1× 199 1.0× 89 0.7× 113 1.4× 127 1.6× 38 675
Cathy Chia‐Yu Huang Taiwan 18 317 1.4× 296 1.5× 168 1.4× 108 1.3× 94 1.2× 30 1.1k
In Tag Yu South Korea 9 213 0.9× 232 1.2× 66 0.5× 40 0.5× 57 0.7× 10 687
Masayuki Taniguchi Japan 15 146 0.6× 227 1.1× 62 0.5× 160 1.9× 123 1.5× 39 940

Countries citing papers authored by Peng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Peng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Yan. A scholar is included among the top collaborators of Peng Yan 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 Peng Yan. Peng Yan 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.
Peng, Yiming, et al.. (2025). Incidence and risk factors of falls in older people with chronic comorbidities in community: a cross-sectional study. Frontiers in Public Health. 13. 1643699–1643699.
2.
Yan, Peng, Ya‐Lei Ning, Yan Zhao, et al.. (2024). Identification of a Hippocampus‐to‐Zona Incerta Projection involved in Motor Learning. Advanced Science. 11(33). e2307185–e2307185. 1 indexed citations
3.
Chen, Gang, Yue Feng, Yuying Bai, et al.. (2023). Insufficient autophagy enables the nuclear factor erythroid 2-related factor 2 (NRF2) to promote ferroptosis in morphine-treated SH-SY5Y cells. Psychopharmacology. 241(2). 291–304. 6 indexed citations
4.
Chen, Yuanyuan, Peng Yan, Shuguang Wei, et al.. (2023). Ketamine metabolite alleviates morphine withdrawal-induced anxiety via modulating nucleus accumbens parvalbumin neurons in male mice. Neurobiology of Disease. 186. 106279–106279. 7 indexed citations
5.
Yan, Peng, Yuanyuan Ji, Yue Feng, et al.. (2022). The Basolateral Amygdala to Ventral Hippocampus Circuit Controls Anxiety-Like Behaviors Induced by Morphine Withdrawal. Frontiers in Cellular Neuroscience. 16. 894886–894886. 19 indexed citations
6.
Li, Yunxiao, et al.. (2019). Weighted gene co‐expression network analysis to explore the mechanism of heroin addiction in human nucleus accumbens. Journal of Cellular Biochemistry. 121(2). 1870–1879. 7 indexed citations
7.
Zhang, Jianbo, Peng Yan, Xintong Cai, et al.. (2018). A 35.8 kilobases haplotype spanning ANKK1 and DRD2 is associated with heroin dependence in Han Chinese males. Brain Research. 1688. 54–64. 13 indexed citations
8.
Zhang, Yang, Jing Wang, Changyin Yu, et al.. (2018). Inhibition of p38 MAPK Signaling Regulates the Expression of EAAT2 in the Brains of Epileptic Rats. Frontiers in Neurology. 9. 925–925. 23 indexed citations
9.
Yin, Fangyuan, et al.. (2017). 5-Aza-2’-deoxycytidine in the medial prefrontal cortex regulates alcohol-related behavior and Ntf3-TrkC expression in rats. PLoS ONE. 12(6). e0179469–e0179469. 12 indexed citations
10.
Huang, Hao, Jing Wang, Zhong Luo, et al.. (2017). Nitrobenzylthioinosine mimics adenosine to attenuate the epileptiform discharge of hippocampal neurons from epileptic rats. Oncotarget. 8(22). 35573–35582. 9 indexed citations
11.
Zhu, Yongsheng, Yunpeng Wang, Jianghua Lai, et al.. (2016). Dopamine D1and D3Receptors Modulate Heroin-Induced Cognitive Impairment through Opponent Actions in Mice. The International Journal of Neuropsychopharmacology. 20(3). pyw099–pyw099. 9 indexed citations
12.
Yan, Peng, Hua Wu, Fangyuan Yin, et al.. (2016). An Association Study Between Genetic Polymorphisms in Functional Regions of Five Genes and the Risk of Schizophrenia. Journal of Molecular Neuroscience. 59(3). 366–375. 21 indexed citations
13.
14.
Han, Huili, Peng Yan, & Zhifang Dong. (2015). d-Serine rescues the deficits of hippocampal long-term potentiation and learning and memory induced by sodium fluoroacetate. Pharmacology Biochemistry and Behavior. 133. 51–56. 18 indexed citations
15.
Zhao, Bin, et al.. (2015). Differential phosphorylation of NMDAR1–CaMKII–MAPKs in the rat nucleus accumbens following chronic ethanol exposure. Neuroscience Letters. 597. 60–65. 16 indexed citations
16.
17.
Dong, Zhifang, Huili Han, Hongjie Li, et al.. (2014). Long-term potentiation decay and memory loss are mediated by AMPAR endocytosis. Journal of Clinical Investigation. 125(1). 234–247. 153 indexed citations
18.
Liu, Shuang, Fengyuan Piao, Xiance Sun, et al.. (2012). Arsenic-induced inhibition of hippocampal neurogenesis and its reversibility. NeuroToxicology. 33(5). 1033–1039. 42 indexed citations
19.
Lin, Yaping, et al.. (2009). [Effect of different frequency electroacupuncture on the expression of substance P and beta-endorphin in the hypothalamus in rats with gastric distension-induced pain].. PubMed. 34(4). 252–7. 11 indexed citations
20.
Chen, Weijian, Wei Ye, Peiqiang Su, et al.. (2007). [The vitamin D receptor gene Tru I polymorphisms and its effect on the detection of Bsm I polymorphisms in Han nationality].. PubMed. 24(3). 338–40. 1 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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