Yidi Sun

4.7k total citations · 2 hit papers
39 papers, 1.7k citations indexed

About

Yidi Sun is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yidi Sun has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Yidi Sun's work include CRISPR and Genetic Engineering (17 papers), RNA regulation and disease (6 papers) and Virus-based gene therapy research (5 papers). Yidi Sun is often cited by papers focused on CRISPR and Genetic Engineering (17 papers), RNA regulation and disease (6 papers) and Virus-based gene therapy research (5 papers). Yidi Sun collaborates with scholars based in China, United States and Germany. Yidi Sun's co-authors include Yixue Li, Erwei Zuo, Wenqin Ying, Tanglong Yuan, Hui Yang, Wei Wu, Hao Sun, Liyun Yuan, Lars M. Steinmetz and Changyang Zhou and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Yidi Sun

36 papers receiving 1.7k citations

Hit Papers

Cytosine base editor generates substantial off-target sin... 2019 2026 2021 2023 2019 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yidi Sun China 18 1.5k 433 167 146 121 39 1.7k
Michael C. Bassik United States 2 1.8k 1.1× 286 0.7× 105 0.6× 102 0.7× 193 1.6× 2 1.9k
Pengpeng Liu China 25 1.4k 0.9× 281 0.6× 95 0.6× 119 0.8× 265 2.2× 53 1.6k
Suhani Vora United States 5 1.6k 1.1× 247 0.6× 113 0.7× 110 0.8× 199 1.6× 6 1.7k
Chris D. Richardson United States 9 1.7k 1.1× 398 0.9× 151 0.9× 175 1.2× 36 0.3× 14 1.7k
Quan Ho United States 6 1.4k 0.9× 266 0.6× 104 0.6× 89 0.6× 134 1.1× 6 1.6k
Christopher D. Guzman United States 5 1.6k 1.1× 312 0.7× 101 0.6× 92 0.6× 107 0.9× 5 1.8k
Julian Grünewald United States 9 1.6k 1.0× 454 1.0× 228 1.4× 163 1.1× 20 0.2× 11 1.6k
Mandana Arbab United States 9 1.2k 0.8× 324 0.7× 123 0.7× 102 0.7× 24 0.2× 11 1.3k
Henriette O’Geen United States 28 2.4k 1.5× 527 1.2× 275 1.6× 43 0.3× 202 1.7× 43 2.7k
Jenna Persson Sweden 9 1.2k 0.7× 291 0.7× 130 0.8× 79 0.5× 45 0.4× 10 1.2k

Countries citing papers authored by Yidi Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yidi Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yidi Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yidi Sun. A scholar is included among the top collaborators of Yidi Sun 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 Yidi Sun. Yidi Sun 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.
Sun, Yidi, et al.. (2025). Single-cell sequencing reveals the immune microenvironment in osteoarthritis: from heterogeneity to therapeutic targets. International Immunopharmacology. 165. 115521–115521.
2.
Wang, Xian, Shengxiang Ren, Fang Liu, et al.. (2025). An antidepressant mechanism underlying the allosteric inhibition of GluN2D-incorporated NMDA receptors at GABAergic interneurons. Science Advances. 11(10). eadq0444–eadq0444. 3 indexed citations
3.
Sun, Yidi, Ziyi Wang, Haofei Wang, et al.. (2024). Single-cell transcriptome analysis reveals immune microenvironment changes and insights into the transition from DCIS to IDC with associated prognostic genes. Journal of Translational Medicine. 22(1). 894–894. 1 indexed citations
4.
Sun, Yidi, Lingling Kong, Jiayi Huang, et al.. (2024). A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data. Briefings in Functional Genomics. 23(6). 733–744. 7 indexed citations
5.
Yan, Nana, Feng Hu, Ying Xin, et al.. (2023). Cytosine base editors induce off-target mutations and adverse phenotypic effects in transgenic mice. Nature Communications. 14(1). 1784–1784. 21 indexed citations
7.
Zhu, Wencheng, Juan Meng, Lei Gu, et al.. (2023). Reading and writing of mRNA m6A modification orchestrate maternal-to-zygotic transition in mice. Genome biology. 24(1). 67–67. 21 indexed citations
8.
Chen, Hongyu, Lanxin Li, Shiyan Li, et al.. (2023). CATI: an efficient gene integration method for rodent and primate embryos by MMEJ suppression. Genome biology. 24(1). 146–146. 3 indexed citations
9.
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
10.
Yuan, Tanglong, Nana Yan, Juan Meng, et al.. (2021). Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods. Nature Communications. 12(1). 4902–4902. 39 indexed citations
11.
Ma, Yiwei, Yidi Sun, Liang Sun, et al.. (2021). Effects of gut microbiota and fatty acid metabolism on dyslipidemia following weight-loss diets in women: Results from a randomized controlled trial. Clinical Nutrition. 40(11). 5511–5520. 17 indexed citations
12.
Zuo, Erwei, Yidi Sun, Wei Wu, et al.. (2020). GOTI, a method to identify genome-wide off-target effects of genome editing in mouse embryos. Nature Protocols. 15(9). 3009–3029. 28 indexed citations
13.
Ding, Ning, Yidi Sun, Tanglong Yuan, et al.. (2020). Single C-to-T substitution using engineered APOBEC3G-nCas9 base editors with minimum genome- and transcriptome-wide off-target effects. Science Advances. 6(29). eaba1773–eaba1773. 64 indexed citations
14.
Zuo, Erwei, Yidi Sun, Tanglong Yuan, et al.. (2020). A rationally engineered cytosine base editor retains high on-target activity while reducing both DNA and RNA off-target effects. Nature Methods. 17(6). 600–604. 106 indexed citations
15.
Zuo, Erwei, Yidi Sun, Wei Wu, et al.. (2019). Cytosine base editor generates substantial off-target single-nucleotide variants in mouse embryos. Science. 364(6437). 289–292. 555 indexed citations breakdown →
16.
17.
Zhou, Changyang, Yidi Sun, Rui Yan, et al.. (2019). Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis. Nature. 571(7764). 275–278. 343 indexed citations breakdown →
18.
Xiao, Qingyu, Yidi Sun, Albert Dobi, et al.. (2018). Systematic analysis reveals molecular characteristics of ERG-negative prostate cancer. Scientific Reports. 8(1). 12868–12868. 16 indexed citations
19.
Zuo, Erwei, Xuan Yao, Xinde Hu, et al.. (2017). CRISPR/Cas9-mediated targeted chromosome elimination. Genome biology. 18(1). 224–224. 139 indexed citations
20.
Yao, Qianlan, Leilei Wu, Jia Li, et al.. (2017). Global Prioritizing Disease Candidate lncRNAs via a Multi-level Composite Network. Scientific Reports. 7(1). 39516–39516. 45 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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