Yu-Ping Peng

2.6k total citations
80 papers, 2.0k citations indexed

About

Yu-Ping Peng is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Yu-Ping Peng has authored 80 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 29 papers in Neurology and 25 papers in Molecular Biology. Recurrent topics in Yu-Ping Peng's work include Neuroinflammation and Neurodegeneration Mechanisms (26 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). Yu-Ping Peng is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (26 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). Yu-Ping Peng collaborates with scholars based in China, Australia and United Kingdom. Yu-Ping Peng's co-authors include Yihua Qiu, Zhan Liu, Yan Huang, Beibei Cao, Jianhua Lu, Songtao Qi, Jiahui Chen, Kaifu Ke, Chen Xiao and Ao-Wang Qiu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Yu-Ping Peng

79 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Ping Peng China 26 657 647 431 318 300 80 2.0k
Antonietta Gentile Italy 29 683 1.0× 909 1.4× 476 1.1× 249 0.8× 321 1.1× 61 2.4k
Pascal F. Durrenberger United Kingdom 19 626 1.0× 504 0.8× 385 0.9× 335 1.1× 228 0.8× 24 2.0k
Ayman ElAli Canada 33 765 1.2× 1.4k 2.2× 428 1.0× 254 0.8× 313 1.0× 49 2.8k
Mithilesh Kumar Jha South Korea 29 1.0k 1.6× 880 1.4× 576 1.3× 338 1.1× 554 1.8× 54 2.9k
Tim Clarner Germany 31 923 1.4× 1.4k 2.1× 332 0.8× 199 0.6× 498 1.7× 59 2.9k
Zheng Wei United States 26 784 1.2× 631 1.0× 408 0.9× 276 0.9× 143 0.5× 63 2.1k
Lidia García‐Bonilla United States 24 796 1.2× 1.2k 1.9× 207 0.5× 361 1.1× 492 1.6× 41 2.5k
Aijun Hao China 26 824 1.3× 613 0.9× 310 0.7× 80 0.3× 358 1.2× 60 2.4k
María Isabel Cuartero Spain 24 732 1.1× 888 1.4× 274 0.6× 189 0.6× 723 2.4× 43 2.4k
Jun Suenaga Japan 15 511 0.8× 1.1k 1.7× 222 0.5× 312 1.0× 450 1.5× 36 2.0k

Countries citing papers authored by Yu-Ping Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Ping Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Ping Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Ping Peng. A scholar is included among the top collaborators of Yu-Ping Peng 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 Yu-Ping Peng. Yu-Ping Peng 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, Yu-Ping, Yuan Zhou, Chao Chen, et al.. (2025). Characterizing the variation in safflower seed viability under different storage conditions through lipidomic and proteomic analyses. Scientific Reports. 15(1). 9084–9084.
2.
Peng, Yu-Ping. (2023). Research on the Impact of Two-Chain Integration on the High-Quality Development of China's Manufacturing Industry. Frontiers in Business Economics and Management. 11(2). 155–159. 1 indexed citations
3.
Du, Bo, Jianzhong Xu, Jintao Hu, et al.. (2020). A Clinical Study of the Intra-Neuroendoscopic Technique for the Treatment of Subacute-Chronic and Chronic Septal Subdural Hematoma. Frontiers in Neurology. 10. 1408–1408. 16 indexed citations
4.
Huang, Yan, Zhan Liu, Beibei Cao, Yihua Qiu, & Yu-Ping Peng. (2019). Treg Cells Attenuate Neuroinflammation and Protect Neurons in a Mouse Model of Parkinson’s Disease. Journal of Neuroimmune Pharmacology. 15(2). 224–237. 45 indexed citations
5.
6.
Li, Yaomin, Yawei Liu, Jing Ren, et al.. (2018). miR-1268a regulates ABCC1 expression to mediate temozolomide resistance in glioblastoma. Journal of Neuro-Oncology. 138(3). 499–508. 58 indexed citations
7.
Huang, Yan, Zhan Liu, Beibei Cao, Yihua Qiu, & Yu-Ping Peng. (2017). Treg Cells Protect Dopaminergic Neurons against MPP+ Neurotoxicity via CD47-SIRPA Interaction. Cellular Physiology and Biochemistry. 41(3). 1240–1254. 40 indexed citations
8.
Peng, Yu-Ping, et al.. (2016). Design of stock feeding device of grafting robot for solanaceae. Nongye Gongcheng Xuebao. 32(11). 82. 4 indexed citations
9.
Peng, Junxiang, Mingxing Qiu, Songtao Qi, Danling Li, & Yu-Ping Peng. (2016). Hypopituitarism patterns among adult males with prolactinomas. Clinical Neurology and Neurosurgery. 144. 112–118. 5 indexed citations
10.
Liu, Zhan, Yan Huang, Beibei Cao, Yihua Qiu, & Yu-Ping Peng. (2016). Th17 Cells Induce Dopaminergic Neuronal Death via LFA-1/ICAM-1 Interaction in a Mouse Model of Parkinson’s Disease. Molecular Neurobiology. 54(10). 7762–7776. 85 indexed citations
11.
Song, Ye, Zheng Hu, Hao Long, et al.. (2014). A complex mechanism for HDGF-mediated cell growth, migration, invasion, and TMZ chemosensitivity in glioma. Journal of Neuro-Oncology. 119(2). 285–295. 26 indexed citations
12.
Liu, Zhan, Xiao-Xia Fang, Yuping Chen, Yihua Qiu, & Yu-Ping Peng. (2013). Interleukin-6 prevents NMDA-induced neuronal Ca2+overload via suppression of IP3 receptors. Brain Injury. 27(9). 1047–1055. 8 indexed citations
13.
Luo, Dongdong, Xin Ye, Zheng Hu, et al.. (2013). EGFR mutation status and its impact on survival of Chinese non-small cell lung cancer patients with brain metastases. Tumor Biology. 35(3). 2437–2444. 46 indexed citations
14.
Zhao, Wei, Yan Huang, Zhan Liu, et al.. (2013). Dopamine Receptors Modulate Cytotoxicity of Natural Killer Cells via cAMP-PKA-CREB Signaling Pathway. PLoS ONE. 8(6). e65860–e65860. 61 indexed citations
15.
Qi, Songtao, Ye Song, Yu-Ping Peng, et al.. (2012). ZEB2 Mediates Multiple Pathways Regulating Cell Proliferation, Migration, Invasion, and Apoptosis in Glioma. PLoS ONE. 7(6). e38842–e38842. 149 indexed citations
16.
Cao, Beibei, et al.. (2012). Cerebellar fastigial nuclear GABAergic projections to the hypothalamus modulate immune function. Brain Behavior and Immunity. 27(1). 80–90. 15 indexed citations
17.
Peng, Yu-Ping, et al.. (2010). CT cisternography in the diagnosis and treatment of intracranial arachnoid cyst. Chinese Journal of Neuromedicine. 9(5). 492–495. 1 indexed citations
18.
Che, Wenquan, Yu-Ping Peng, Xian Zhang, & Songtao Qi. (2009). Anatomical study of the lateral ventricle and choroid plexus in endoscopic surgery through the occipital horn approach. Chinese Journal of Neuromedicine. 8(8). 806–809. 1 indexed citations
19.
Peng, Yu-Ping, et al.. (2009). Adrenoreceptor-coupled signal-transduction mechanisms mediating lymphocyte apoptosis Induced by endogenous catecholamines. Journal of Neuroimmunology. 213(1-2). 100–111. 14 indexed citations
20.
Wang, Xiaoqin, Yu-Ping Peng, Jianhua Lu, Beibei Cao, & Yihua Qiu. (2008). Neuroprotection of interleukin-6 against NMDA attack and its signal transduction by JAK and MAPK. Neuroscience Letters. 450(2). 122–126. 44 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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