Shuming Yin

956 total citations
12 papers, 269 citations indexed

About

Shuming Yin is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shuming Yin has authored 12 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shuming Yin's work include CRISPR and Genetic Engineering (6 papers), Virus-based gene therapy research (4 papers) and RNA regulation and disease (2 papers). Shuming Yin is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Virus-based gene therapy research (4 papers) and RNA regulation and disease (2 papers). Shuming Yin collaborates with scholars based in China, United States and Egypt. Shuming Yin's co-authors include Dali Li, Mingyao Liu, Liren Wang, Honghui Han, Lei Yang, Xiaohui Zhang, Meizhen Liu, Weishi Yu, Mengjia Hong and Huiying Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature Cell Biology and Molecular Therapy.

In The Last Decade

Shuming Yin

11 papers receiving 269 citations

Peers

Shuming Yin
Linyuan Ma United States
Laura Spector United States
Yinan Kan United States
Nicolas Mathis Switzerland
Chris Preece United Kingdom
Bhavini Rana United States
Shuming Yin
Citations per year, relative to Shuming Yin Shuming Yin (= 1×) peers Ruby Yanru Chen-Tsai

Countries citing papers authored by Shuming Yin

Since Specialization
Citations

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

Fields of papers citing papers by Shuming Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuming Yin

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

All Works

12 of 12 papers shown
1.
Zheng, Rui, Liren Wang, Xi Chen, et al.. (2024). Lipid nanoparticle-mediated base-editing of the Hao1 gene achieves sustainable primary hyperoxaluria type 1 therapy in rats. Science China Life Sciences. 67(12). 2575–2586.
2.
Yin, Shuming, Liangcai Gao, Hong-Yi Gao, et al.. (2024). Amelioration of metabolic and behavioral defects through base editing in the PahR408W phenylketonuria mouse model. Molecular Therapy. 33(1). 119–132. 4 indexed citations
3.
Liu, Xianyang, Xingyun Liao, Liu Y, et al.. (2023). A de novo missense mutation in MPP2 confers an increased risk of Vogt–Koyanagi–Harada disease as shown by trio-based whole-exome sequencing. Cellular and Molecular Immunology. 20(11). 1379–1392. 13 indexed citations
4.
Yin, Shuming, Mei Zhang, Yang Liu, et al.. (2022). Engineering of efficiency-enhanced Cas9 and base editors with improved gene therapy efficacies. Molecular Therapy. 31(3). 744–759. 22 indexed citations
5.
Chen, Xi, Yang Liu, Rui Zheng, et al.. (2022). Long-term correction of hemophilia B through CRISPR/Cas9 induced homology-independent targeted integration. Journal of genetics and genomics. 49(12). 1114–1126. 16 indexed citations
6.
Yin, Shuming, Lie Ma, Tingting Shao, et al.. (2020). Enhanced genome editing to ameliorate a genetic metabolic liver disease through co-delivery of adeno-associated virus receptor. Science China Life Sciences. 65(4). 718–730. 19 indexed citations
7.
Yang, Lei, Liren Wang, Yanan Huo, et al.. (2020). Amelioration of an Inherited Metabolic Liver Disease through Creation of a De Novo Start Codon by Cytidine Base Editing. Molecular Therapy. 28(7). 1673–1683. 25 indexed citations
8.
Zhang, Xiaohui, Liang Chen, Biyun Zhu, et al.. (2020). Increasing the efficiency and targeting range of cytidine base editors through fusion of a single-stranded DNA-binding protein domain. Nature Cell Biology. 22(6). 740–750. 91 indexed citations
9.
Shao, Yanjiao, Liren Wang, Shengfei Wang, et al.. (2018). Cas9-nickase–mediated genome editing corrects hereditary tyrosinemia in rats. Journal of Biological Chemistry. 293(18). 6883–6892. 41 indexed citations
10.
Peng, Yanling, Shuming Yin, Jing Wang, et al.. (2011). Phylogeographic analysis of the fir species in southern China suggests complex origin and genetic admixture. Annals of Forest Science. 69(3). 409–416. 19 indexed citations
11.
Yin, Shuming, Xuwu Sun, & Lixin Zhang. (2008). An Arabidopsis ctpA homologue is involved in the repair of photosystem II under high light. Science Bulletin. 53(7). 1021–1026. 14 indexed citations
12.
Liu, Chongbin, et al.. (2005). The role of prostaglandins and the hypothalamus in thermoregulation in the lizard, Phrynocephalus przewalskii (Agamidae). Journal of Comparative Physiology B. 176(4). 321–328. 5 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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