Yingsi Zhou

2.7k total citations · 1 hit paper
18 papers, 831 citations indexed

About

Yingsi Zhou is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Yingsi Zhou has authored 18 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Yingsi Zhou's work include CRISPR and Genetic Engineering (14 papers), RNA and protein synthesis mechanisms (7 papers) and RNA regulation and disease (6 papers). Yingsi Zhou is often cited by papers focused on CRISPR and Genetic Engineering (14 papers), RNA and protein synthesis mechanisms (7 papers) and RNA regulation and disease (6 papers). Yingsi Zhou collaborates with scholars based in China, Slovenia and United States. Yingsi Zhou's co-authors include Jinsheng Lai, Hui Yang, Zikang Wang, Weiya Bai, Yifan Wang, Qingquan Xiao, Linyu Shi, Chunlong Xu, Bingbing He and Xiang Wang and has published in prestigious journals such as Cell, Nature Communications and Nature Cell Biology.

In The Last Decade

Yingsi Zhou

17 papers receiving 819 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Programmable RNA editing with compact CRISPR–Cas13 systems from uncultivated microbes

2021 232 citations Chunlong Xu, Yingsi Zhou et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingsi Zhou China	13	688	229	195	52	44	18	831
Madelynn N. Whittaker United States	6	852 1.2×	135 0.6×	204 1.0×	79 1.5×	38 0.9×	7	892
Do Yon Kim South Korea	5	605 0.9×	79 0.3×	132 0.7×	87 1.7×	37 0.8×	7	636
Su Bin Moon South Korea	7	623 0.9×	79 0.3×	132 0.7×	87 1.7×	37 0.8×	8	650
Soumya Kannan United States	12	814 1.2×	80 0.3×	135 0.7×	75 1.4×	63 1.4×	19	860
Nerges Winblad Sweden	4	768 1.1×	127 0.6×	118 0.6×	84 1.6×	19 0.4×	4	795
Wen Y. Wu Netherlands	8	940 1.4×	153 0.7×	154 0.8×	121 2.3×	33 0.8×	9	971
Y. Esther Tak United States	5	635 0.9×	81 0.4×	95 0.5×	73 1.4×	23 0.5×	7	648
Jianhang Yin China	10	509 0.7×	77 0.3×	125 0.6×	69 1.3×	17 0.4×	12	545
Satomi Banno Japan	7	1.1k 1.6×	188 0.8×	331 1.7×	92 1.8×	37 0.8×	8	1.2k
Hanna Müller-Esparza Germany	6	372 0.5×	121 0.5×	59 0.3×	45 0.9×	19 0.4×	7	471

Countries citing papers authored by Yingsi Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Yingsi Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingsi Zhou

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

All Works

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18 of 18 papers shown

Li, Guoling, Xue Dong, Jiamin Luo, et al.. (2024). Engineering TadA ortholog-derived cytosine base editor without motif preference and adenosine activity limitation. Nature Communications. 15(1). 8090–8090. 6 indexed citations

Wei, Yinghui, Ming Jin, Shuhong Huang, et al.. (2024). Enhanced C‐To‐T and A‐To‐G Base Editing in Mitochondrial DNA with Engineered DdCBE and TALED (Adv. Sci. 3/2024). Advanced Science. 11(3). 1 indexed citations

Tong, Huawei, Haoqiang Wang, Xuchen Wang, et al.. (2024). Development of deaminase-free T-to-S base editor and C-to-G base editor by engineered human uracil DNA glycosylase. Nature Communications. 15(1). 4897–4897. 30 indexed citations

Ji, Quanquan, Xinxin Ke, Hufeng Zhou, et al.. (2024). Repurposing Type I-A CRISPR-Cas3 for a robust diagnosis of human papillomavirus (HPV). Communications Biology. 7(1). 858–858. 12 indexed citations

Huang, Jia, Bingbing He, Xin Long, et al.. (2024). Generation of rat forebrain tissues in mice. Cell. 187(9). 2129–2142.e17. 11 indexed citations

Wei, Yinghui, Ming Jin, Shuhong Huang, et al.. (2023). Enhanced C‐To‐T and A‐To‐G Base Editing in Mitochondrial DNA with Engineered DdCBE and TALED. Advanced Science. 11(3). e2304113–e2304113. 10 indexed citations

Tong, Huawei, Nana Liu, Yinghui Wei, et al.. (2023). Programmable deaminase-free base editors for G-to-Y conversion by engineered glycosylase. National Science Review. 10(8). nwad143–nwad143. 45 indexed citations

Wang, Xing, Dong Yang, Guoling Li, et al.. (2023). Develop a Compact RNA Base Editor by Fusing ADAR with Engineered EcCas6e. Advanced Science. 10(17). e2206813–e2206813. 20 indexed citations

Kong, Xiangfeng, Hainan Zhang, Guoling Li, et al.. (2023). Engineered CRISPR-OsCas12f1 and RhCas12f1 with robust activities and expanded target range for genome editing. Nature Communications. 14(1). 2046–2046. 59 indexed citations

10.

Zhou, Yingsi & Chunlong Xu. (2023). Miniature genome editors derived from engineering Cas9 ancestor. 1(1). 100008–100008.

11.

Han, Dingyi, Qingquan Xiao, Yifan Wang, et al.. (2023). Development of miniature base editors using engineered IscB nickase. Nature Methods. 20(7). 1029–1036. 53 indexed citations

12.

Gao, Ni, Jing Hu, Bingbing He, et al.. (2021). Endogenous promoter-driven sgRNA for monitoring the expression of low-abundance transcripts and lncRNAs. Nature Cell Biology. 23(1). 99–108. 13 indexed citations

13.

Xu, Chunlong, Yingsi Zhou, Qingquan Xiao, et al.. (2021). Programmable RNA editing with compact CRISPR–Cas13 systems from uncultivated microbes. Nature Methods. 18(5). 499–506. 232 indexed citations breakdown →

14.

Zhou, Changyang, Xinde Hu, Cheng Tang, et al.. (2020). CasRx-mediated RNA targeting prevents choroidal neovascularization in a mouse model of age-related macular degeneration. National Science Review. 7(5). 835–837. 43 indexed citations

15.

Liu, Yajing, Changyang Zhou, Shisheng Huang, et al.. (2020). A Cas-embedding strategy for minimizing off-target effects of DNA base editors. Nature Communications. 11(1). 6073–6073. 53 indexed citations

16.

Yi, Fei, Wei Gu, Jian Chen, et al.. (2019). High Temporal-Resolution Transcriptome Landscape of Early Maize Seed Development. The Plant Cell. 31(5). 974–992. 132 indexed citations

17.

Shi, Junpeng, Xuxu Ma, Jihong Zhang, et al.. (2019). Chromosome conformation capture resolved near complete genome assembly of broomcorn millet. Nature Communications. 10(1). 464–464. 86 indexed citations

18.

Zhou, Yuan, Yingsi Zhou, Fei He, Jiangning Song, & Ziding Zhang. (2012). Can simple codon pair usage predict protein–protein interaction?. Molecular BioSystems. 8(5). 1396–1404. 25 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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