Zhong Pei

8.1k total citations · 2 hit papers
134 papers, 5.6k citations indexed

About

Zhong Pei is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Zhong Pei has authored 134 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Neurology, 34 papers in Cellular and Molecular Neuroscience and 33 papers in Neurology. Recurrent topics in Zhong Pei's work include Parkinson's Disease Mechanisms and Treatments (46 papers), Genetic Neurodegenerative Diseases (17 papers) and Neurological disorders and treatments (13 papers). Zhong Pei is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (46 papers), Genetic Neurodegenerative Diseases (17 papers) and Neurological disorders and treatments (13 papers). Zhong Pei collaborates with scholars based in China, United States and Hong Kong. Zhong Pei's co-authors include Christopher A. Ross, Wanli W. Smith, Haibing Jiang, Valina L. Dawson, Ted M. Dawson, Jau‐Shyong Hong, Tongguang Wang, Belinda Wilson, Michelle L. Block and Jing Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Zhong Pei

129 papers receiving 5.5k citations

Hit Papers

Aggregated α‐synuclein activates microglia: a process lea... 2005 2026 2012 2019 2005 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhong Pei China 35 2.4k 1.8k 1.5k 1.5k 1.0k 134 5.6k
Huw R. Morris United Kingdom 47 4.5k 1.9× 1.7k 1.0× 1.3k 0.8× 1.6k 1.1× 1.9k 1.8× 204 7.2k
Fabio Blandini Italy 50 3.6k 1.5× 2.0k 1.1× 1.2k 0.8× 3.0k 2.0× 1.5k 1.5× 174 7.9k
Geidy E. Serrano United States 45 2.2k 0.9× 1.8k 1.0× 1.7k 1.1× 1.2k 0.8× 2.6k 2.5× 177 6.5k
Michael D. Geschwind United States 41 3.1k 1.3× 3.7k 2.1× 1.5k 1.0× 1.6k 1.1× 1.2k 1.2× 132 7.4k
Ikuo Tooyama Japan 48 1.4k 0.6× 2.9k 1.6× 1.8k 1.1× 2.2k 1.4× 2.2k 2.1× 300 8.0k
Sheila M. Fleming United States 34 3.5k 1.4× 1.8k 1.0× 1.3k 0.8× 3.2k 2.1× 1.1k 1.1× 76 6.7k
Jan Aasly Norway 43 3.8k 1.6× 2.2k 1.2× 1.3k 0.9× 1.8k 1.2× 1.9k 1.8× 182 6.7k
Chiung‐Mei Chen Taiwan 37 1.9k 0.8× 2.4k 1.4× 799 0.5× 1.8k 1.2× 821 0.8× 215 5.5k
Yoshio Hashizume Japan 40 2.3k 1.0× 1.9k 1.1× 1.2k 0.7× 1.5k 1.0× 1.0k 1.0× 232 5.5k
Kunihiro Uryu United States 42 2.8k 1.2× 2.9k 1.6× 1.2k 0.7× 1.8k 1.2× 2.4k 2.3× 70 7.6k

Countries citing papers authored by Zhong Pei

Since Specialization
Citations

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

Fields of papers citing papers by Zhong Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Pei. A scholar is included among the top collaborators of Zhong Pei 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 Zhong Pei. Zhong Pei 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
2.
Tao, Dan, Roger Scully, Garrett I. Ash, et al.. (2024). The role of technology-based dance intervention for enhancing wellness: A systematic scoping review and meta-synthesis. Ageing Research Reviews. 100. 102462–102462. 2 indexed citations
3.
Wang, Ye, et al.. (2024). Genetic overlap between breast cancer and sarcopenia: exploring the prognostic implications of SLC38A1 gene expression. BMC Cancer. 24(1). 1533–1533. 1 indexed citations
4.
Huang, Jiehui, Lishan Lin, Wenhui Song, et al.. (2024). Parkinson's severity diagnosis explainable model based on 3D multi-head attention residual network. Computers in Biology and Medicine. 170. 107959–107959. 8 indexed citations
5.
Tao, Dan, Roger Scully, Garrett I. Ash, et al.. (2023). The effectiveness of dance movement interventions for older adults with mild cognitive impairment, Alzheimer’s disease, and dementia: A systematic scoping review and meta-analysis. Ageing Research Reviews. 92. 102120–102120. 16 indexed citations
6.
Collins, Benoı̂t, et al.. (2023). The spectrum of local random Hamiltonians. Journal of Physics A Mathematical and Theoretical. 56(3). 35201–35201. 1 indexed citations
7.
Lin, Lishan, Kang Yuan, Yucheng Li, et al.. (2023). Real-world experience with Deutetrabenazine management in patients with Huntington’s disease using video-based telemedicine. Neurological Sciences. 45(5). 2047–2055. 2 indexed citations
9.
Pei, Zhong, et al.. (2018). Variability of functional outcome measures used in animal models of stroke and vascular cognitive impairment – a review of contemporary studies. Journal of Cerebral Blood Flow & Metabolism. 38(11). 1872–1884. 11 indexed citations
10.
Xiao, Yousheng, Xiang Chen, Shuxuan Huang, et al.. (2018). Iron promotes α‐synuclein aggregation and transmission by inhibiting TFEB‐mediated autophagosome‐lysosome fusion. Journal of Neurochemistry. 145(1). 34–50. 50 indexed citations
11.
Li, Feng, et al.. (2017). Oculomotor deficits in spinocerebellar ataxia type 3: Potential biomarkers of preclinical detection and disease progression. CNS Neuroscience & Therapeutics. 23(4). 321–328. 34 indexed citations
12.
13.
Xu, Zhimin, Houbo Jiang, Zhong Pei, et al.. (2015). Direct conversion of human fibroblasts to induced serotonergic neurons. Molecular Psychiatry. 21(1). 62–70. 92 indexed citations
14.
Xu, Guangqing, Yue Lan, Dongfeng Huang, et al.. (2012). The study on the frontoparietal networks by continuous theta burst stimulation in healthy human subjects. Behavioural Brain Research. 240. 60–68. 19 indexed citations
15.
Li, Chuo, Xueying Ling, Sirun Liu, et al.. (2012). Abnormalities of magnetic resonance spectroscopy and diffusion tensor imaging are correlated with executive dysfunction in patients with ischemic leukoaraiosis. Journal of Clinical Neuroscience. 19(5). 718–722. 20 indexed citations
16.
Zhang, Jian, Yusheng Zhang, Jinɡjinɡ Li, et al.. (2011). Autophagosomes accumulation is associated with β‐amyloid deposits and secondary damage in the thalamus after focal cortical infarction in hypertensive rats. Journal of Neurochemistry. 120(4). 564–573. 43 indexed citations
17.
Huang, Yuanyuan, Wenlong Yang, Zhong Pei, et al.. (2011). The genes for gibberellin biosynthesis in wheat. Functional & Integrative Genomics. 12(1). 199–206. 30 indexed citations
18.
Jiang, Mali, Zhong Pei, Yong Cheng, et al.. (2010). Baicalein reduces E46K α‐synuclein aggregation in vitro and protects cells against E46K α‐synuclein toxicity in cell models of familiar Parkinsonism. Journal of Neurochemistry. 114(2). 419–429. 70 indexed citations
19.
Smith, Wanli W., Zhong Pei, Haibing Jiang, et al.. (2006). Kinase activity of mutant LRRK2 mediates neuronal toxicity. Nature Neuroscience. 9(10). 1231–1233. 506 indexed citations breakdown →
20.
Smith, Wanli W., Haibing Jiang, Zhong Pei, et al.. (2005). Endoplasmic reticulum stress and mitochondrial cell death pathways mediate A53T mutant alpha-synuclein-induced toxicity. Human Molecular Genetics. 14(24). 3801–3811. 303 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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