Renshi Xu

2.2k total citations
81 papers, 1.3k citations indexed

About

Renshi Xu is a scholar working on Neurology, Genetics and Neurology. According to data from OpenAlex, Renshi Xu has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Neurology, 28 papers in Genetics and 25 papers in Neurology. Recurrent topics in Renshi Xu's work include Amyotrophic Lateral Sclerosis Research (53 papers), Neurogenetic and Muscular Disorders Research (27 papers) and Parkinson's Disease Mechanisms and Treatments (26 papers). Renshi Xu is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (53 papers), Neurogenetic and Muscular Disorders Research (27 papers) and Parkinson's Disease Mechanisms and Treatments (26 papers). Renshi Xu collaborates with scholars based in China, United States and Poland. Renshi Xu's co-authors include David Gozal, Liying Chi, Chun Luo, R Liu, Wenming Xu, Ya Ke, Leila Kheirandish, Bao‐Hua Xu, Barry W. Row and Wenzhi Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Neuroscience.

In The Last Decade

Renshi Xu

78 papers receiving 1.3k citations

Peers

Renshi Xu

NEURO

PHYSI

EAS

CMN

Irawan Satriotomo United States

Mustafa Akhisaroğlu Türkiye

Liying Chi United States

Jee Y. Lee South Korea

Denise Matzelle United States

Lidia Yshii Brazil

Kenichi Yasui Japan

Jae‐Hong Kim South Korea

Hideki Hida Japan

Guillermo Estivill‐Torrús Spain

Irawan Satriotomo United States

Renshi Xu

282 ×0.7

NEURO

479 ×1.4

295 ×0.8

PHYSI

726 ×3.0

EAS

352 ×1.5

CMN

Citations per year, relative to Renshi Xu Renshi Xu (= 1×) peers Irawan Satriotomo

Countries citing papers authored by Renshi Xu

Since Specialization

Citations

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

Fields of papers citing papers by Renshi Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renshi Xu

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

All Works

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20 of 20 papers shown

Chen, Wenzhi, Ting Fan, & Renshi Xu. (2025). Diet for the prevention and treatment of Parkinson’s disease. Frontiers in Nutrition. 12. 1587246–1587246.

Chen, J, et al.. (2024). Oral Microbiota and Porphyromonas gingivalis Kgp Genotypes Altered in Parkinson’s Disease with Mild Cognitive Impairment. Molecular Neurobiology. 61(11). 8631–8639. 7 indexed citations

Zhou, Lijun & Renshi Xu. (2024). Invertebrate genetic models of amyotrophic lateral sclerosis. Frontiers in Molecular Neuroscience. 17. 1328578–1328578. 3 indexed citations

Chen, Xiaohong, et al.. (2023). Identification of c.1495C > T mutation in SPAST gene in a family of Han Chinese with hereditary spastic paraplegia. Neuroscience Letters. 812. 137399–137399.

Zhao, Qianqian, Yongchao Li, Zhen Liu, et al.. (2023). Mutation and clinical analysis of the CLCC1 gene in amyotrophic lateral sclerosis patients from Central South China. Annals of Clinical and Translational Neurology. 11(1). 79–88. 1 indexed citations

He, Yu, Yanyan Zhu, Ting He, et al.. (2022). Effect of the Minor C Allele of CNTN4 rs2619566 on Medial Hypothalamic Connectivity in Early-Stage Patients of Chinese Han Ancestry with Sporadic Amyotrophic Lateral Sclerosis. SHILAP Revista de lepidopterología. 1 indexed citations

Chen, Wenzhi, et al.. (2022). The pathogenesis of amyotrophic lateral sclerosis: Mitochondrial dysfunction, protein misfolding and epigenetics. Brain Research. 1786. 147904–147904. 15 indexed citations

Tang, Chunyan, et al.. (2022). Melatonin Induces Autophagy in Amyotrophic Lateral Sclerosis Mice via Upregulation of SIRT1. Molecular Neurobiology. 59(8). 4747–4760. 14 indexed citations

Wang, Bo, Xin Liu, Zheng Liu, et al.. (2021). Sporadic Parkinson’s Disease Potential Risk Loci Identified in Han Ancestry of Chinese Mainland. Frontiers in Aging Neuroscience. 12. 603793–603793. 4 indexed citations

10.

Zhu, Lei, et al.. (2020). Perilipin 4 Protein: an Impending Target for Amyotrophic Lateral Sclerosis. Molecular Neurobiology. 58(4). 1723–1737. 2 indexed citations

11.

Fan, Dongsheng, Zhang Hui, Sujuan Wang, et al.. (2020). Efficacy of cattle encephalon glycoside and ignotin in patients with acute cerebral infarction: a randomized, double-blind, parallel-group, placebo-controlled study. Neural Regeneration Research. 15(7). 1266–1266. 7 indexed citations

12.

Tang, Chunyan, Lei Zhu, Qi Zhou, et al.. (2019). Altered Features of Vimentin-containing Cells in Cerebrum of Tg(SOD1*G93A)1Gur Mice: A Preliminary Study on Cerebrum Endogenous Neural Precursor Cells in Amyotrophic Lateral Sclerosis. International Journal of Biological Sciences. 15(13). 2830–2843. 1 indexed citations

13.

Zhou, Qi, Lei Zhu, Yue Liu, et al.. (2019). Nicotinamide Riboside Enhances Mitochondrial Proteostasis and Adult Neurogenesis through Activation of Mitochondrial Unfolded Protein Response Signaling in the Brain of ALS SOD1^G93A Mice. International Journal of Biological Sciences. 16(2). 284–297. 56 indexed citations

14.

Lü, Yi, Xin Fang, Jie Zhang, et al.. (2015). An Astrocyte Regenerative Response from Vimentin-Containing Cells in the Spinal Cord of Amyotrophic Lateral Sclerosis's Disease-Like Transgenic (G93A SOD1) Mice. Neurodegenerative Diseases. 15(1). 1–12. 23 indexed citations

15.

Xu, Renshi. (2015). Pathogenesis of diabetic cerebral vascular disease complication. World Journal of Diabetes. 6(1). 54–54. 24 indexed citations

16.

Fang, Xin & Renshi Xu. (2015). Protective effect of simvastatin on impaired intestine tight junction protein ZO-1 in a mouse model of Parkinson’s disease. Journal of Huazhong University of Science and Technology [Medical Sciences]. 35(6). 880–884. 5 indexed citations

17.

Xu, Renshi, et al.. (2013). Diabetes alters the expression of partial vasoactivators in cerebral vascular disease susceptible regions of the diabetic rat. Diabetology & Metabolic Syndrome. 5(1). 63–63. 6 indexed citations

18.

Xu, Renshi, et al.. (2010). Linking hypoxic and oxidative insults to cell death mechanisms in models of ALS. Brain Research. 1372. 133–144. 29 indexed citations

19.

Xu, Renshi, et al.. (2008). Nestin‐positive cells in the spinal cord: a potential source of neural stem cells. International Journal of Developmental Neuroscience. 26(7). 813–820. 14 indexed citations

20.

Xu, Renshi, et al.. (2008). Domoic acid induced spinal cord lesions in adult mice: Evidence for the possible molecular pathways of excitatory amino acids in spinal cord lesions. NeuroToxicology. 29(4). 700–707. 19 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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