Zhuchi Tu

1.7k total citations
21 papers, 758 citations indexed

About

Zhuchi Tu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Aging. According to data from OpenAlex, Zhuchi Tu has authored 21 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Aging. Recurrent topics in Zhuchi Tu's work include CRISPR and Genetic Engineering (12 papers), Genetic Neurodegenerative Diseases (6 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Zhuchi Tu is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), Genetic Neurodegenerative Diseases (6 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Zhuchi Tu collaborates with scholars based in China, United States and Taiwan. Zhuchi Tu's co-authors include Xiao‐Jiang Li, Weili Yang, Sen Yan, Xiangyu Guo, Shihua Li, Yinghui Zheng, Xiangyu Guo, Hong Wang, Yu Kang and Yongchang Chen and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Human Molecular Genetics.

In The Last Decade

Zhuchi Tu

21 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuchi Tu China 13 565 227 117 112 80 21 758
Ryan Murray United States 10 362 0.6× 119 0.5× 119 1.0× 45 0.4× 46 0.6× 20 680
Samson Jacob United States 7 909 1.6× 182 0.8× 31 0.3× 189 1.7× 21 0.3× 9 1.1k
Haibo Zhou China 12 583 1.0× 184 0.8× 168 1.4× 176 1.6× 24 0.3× 14 921
Tian‐Lin Cheng China 17 536 0.9× 325 1.4× 188 1.6× 97 0.9× 22 0.3× 27 767
Gaia Colasante Italy 17 846 1.5× 397 1.7× 90 0.8× 412 3.7× 46 0.6× 26 1.3k
Nicolas Mérienne France 11 337 0.6× 71 0.3× 107 0.9× 309 2.8× 60 0.8× 12 593
Nataša Savić Switzerland 12 567 1.0× 84 0.4× 100 0.9× 287 2.6× 11 0.1× 14 764
Kraig M. Theriault United States 5 856 1.5× 351 1.5× 113 1.0× 115 1.0× 5 0.1× 6 1.0k
Abhik K. Banerjee United States 5 947 1.7× 494 2.2× 56 0.5× 153 1.4× 43 0.5× 8 1.2k
Chelsea Gelboin-Burkhart United States 7 1.8k 3.3× 274 1.2× 118 1.0× 286 2.6× 40 0.5× 7 2.1k

Countries citing papers authored by Zhuchi Tu

Since Specialization
Citations

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

Fields of papers citing papers by Zhuchi Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuchi Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuchi Tu. A scholar is included among the top collaborators of Zhuchi Tu 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 Zhuchi Tu. Zhuchi Tu 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.
Li, Jiawei, Chunhui Huang, Zhaoming Liu, et al.. (2025). RNA-Targeting CRISPR/CasRx system relieves disease symptoms in Huntington’s disease models. Molecular Neurodegeneration. 20(1). 4–4. 6 indexed citations
2.
Zhang, Chen, Xiang Wang, Dandan Li, et al.. (2024). Suppressing UBE2N ameliorates Alzheimer's disease pathology through the clearance of amyloid beta. Alzheimer s & Dementia. 20(9). 6287–6304. 7 indexed citations
3.
Zheng, Xiaoming, Jiawei Li, Chunhui Huang, et al.. (2023). A Specific Mini‐Intrabody Mediates Lysosome Degradation of Mutant Huntingtin. Advanced Science. 10(31). e2301120–e2301120. 6 indexed citations
4.
Zheng, Xiaoming, Jiawei Li, Chunhui Huang, et al.. (2023). A Specific Mini‐Intrabody Mediates Lysosome Degradation of Mutant Huntingtin (Adv. Sci. 31/2023). Advanced Science. 10(31). 1 indexed citations
5.
Li, Xiaojiang, et al.. (2023). Large animal models for Huntington’s disease research. 动物学研究. 45(2). 275–283. 7 indexed citations
6.
Tu, Zhuchi, Sen Yan, Lu Wang, et al.. (2023). Tauopathy promotes spinal cord-dependent production of toxic amyloid-beta in transgenic monkeys. Signal Transduction and Targeted Therapy. 8(1). 358–358. 8 indexed citations
7.
Zheng, Xiao, Chunhui Huang, Jiawei Li, et al.. (2023). Generation of inactivated IL2RG and RAG1 monkeys with severe combined immunodeficiency using base editing. Signal Transduction and Targeted Therapy. 8(1). 327–327. 3 indexed citations
8.
Yan, Sen, Xiaoming Zheng, Zhaoming Liu, et al.. (2023). Cas9-mediated replacement of expanded CAG repeats in a pig model of Huntington’s disease. Nature Biomedical Engineering. 7(5). 629–646. 34 indexed citations
9.
Wang, Wei, Jiawei Li, Chunhui Huang, et al.. (2023). Intravenous AAV9 administration results in safe and widespread distribution of transgene in the brain of mini-pig. Frontiers in Cell and Developmental Biology. 10. 1115348–1115348. 16 indexed citations
10.
Li, Jun, et al.. (2022). Application of CRISPR/Cas9 System in Establishing Large Animal Models. Frontiers in Cell and Developmental Biology. 10. 919155–919155. 22 indexed citations
11.
Li, Xiao-Jiang, Sen Yan, Xueyan Zhang, et al.. (2021). Differential development and electrophysiological activity in cultured cortical neurons from the mouse and cynomolgus monkey. Neural Regeneration Research. 16(12). 2446–2446. 3 indexed citations
12.
Huang, Chunhui, Jun Li, Xiao-Feng Zheng, et al.. (2021). TBN improves motor function and prolongs survival in a TDP-43M337V mouse model of ALS. Human Molecular Genetics. 30(16). 1484–1496. 16 indexed citations
13.
Zhao, Hui, Qiqi Wang, Ting Yan, et al.. (2019). Maternal valproic acid exposure leads to neurogenesis defects and autism-like behaviors in non-human primates. Translational Psychiatry. 9(1). 267–267. 78 indexed citations
14.
Yan, Sen, Zhuchi Tu, Shihua Li, & Xiao‐Jiang Li. (2017). Use of CRISPR/Cas9 to model brain diseases. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 81. 488–492. 18 indexed citations
15.
Tu, Zhuchi, Weili Yang, Sen Yan, et al.. (2017). Promoting Cas9 degradation reduces mosaic mutations in non-human primate embryos. Scientific Reports. 7(1). 42081–42081. 91 indexed citations
16.
Yang, Weili, Zhuchi Tu, Qiang Sun, & Xiao‐Jiang Li. (2016). CRISPR/Cas9: Implications for Modeling and Therapy of Neurodegenerative Diseases. Frontiers in Molecular Neuroscience. 9. 30–30. 42 indexed citations
17.
Chen, Yongchang, Yinghui Zheng, Yu Kang, et al.. (2015). Functional disruption of the dystrophin gene in rhesus monkey using CRISPR/Cas9. Human Molecular Genetics. 24(13). 3764–3774. 180 indexed citations
18.
Yang, Weili, Guohao Wang, Chuan-En Wang, et al.. (2015). Mutant Alpha-Synuclein Causes Age-Dependent Neuropathology in Monkey Brain. Journal of Neuroscience. 35(21). 8345–8358. 55 indexed citations
19.
Tu, Zhuchi, Weili Yang, Sen Yan, Xiangyu Guo, & Xiao‐Jiang Li. (2015). CRISPR/Cas9: a powerful genetic engineering tool for establishing large animal models of neurodegenerative diseases. Molecular Neurodegeneration. 10(1). 35–35. 94 indexed citations
20.
Yin, Peng, Zhuchi Tu, Yin An, et al.. (2014). Aged monkey brains reveal the role of ubiquitin-conjugating enzyme UBE2N in the synaptosomal accumulation of mutant huntingtin. Human Molecular Genetics. 24(5). 1350–1362. 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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