Yi Eve Sun

13.2k total citations · 6 hit papers
85 papers, 9.6k citations indexed

About

Yi Eve Sun is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yi Eve Sun has authored 85 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 23 papers in Genetics and 16 papers in Cancer Research. Recurrent topics in Yi Eve Sun's work include Genetics and Neurodevelopmental Disorders (18 papers), Epigenetics and DNA Methylation (17 papers) and MicroRNA in disease regulation (13 papers). Yi Eve Sun is often cited by papers focused on Genetics and Neurodevelopmental Disorders (18 papers), Epigenetics and DNA Methylation (17 papers) and MicroRNA in disease regulation (13 papers). Yi Eve Sun collaborates with scholars based in United States, China and Singapore. Yi Eve Sun's co-authors include Hao Wu, Guoping Fan, Fei He, Keri Martinowich, Michael E. Greenberg, Mireya Nadal‐Vicens, Daisuke Hattori, Shaun D. Fouse, Yi Zhang and Weihong Ge and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Yi Eve Sun

81 papers receiving 9.5k citations

Hit Papers

DNA Methylation-Related Chromatin Remodeling in Activity-... 1997 2026 2006 2016 2003 1997 2013 2001 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Eve Sun United States 36 6.9k 2.2k 1.9k 1.7k 1.1k 85 9.6k
Jamel Chelly France 50 5.8k 0.8× 2.4k 1.1× 1.4k 0.7× 1.8k 1.1× 400 0.4× 128 9.7k
Seth Blackshaw United States 62 8.6k 1.3× 957 0.4× 1.1k 0.6× 2.8k 1.7× 1.2k 1.1× 213 13.0k
Samuel J. Pleasure United States 52 4.7k 0.7× 1.4k 0.6× 3.6k 1.9× 3.7k 2.2× 617 0.6× 131 9.0k
Tarik F. Haydar United States 37 3.9k 0.6× 937 0.4× 1.8k 0.9× 1.7k 1.0× 673 0.6× 57 6.9k
Kazuhiro Ikenaka Japan 55 5.3k 0.8× 1.2k 0.5× 3.2k 1.7× 3.2k 1.9× 937 0.9× 251 10.4k
Maria C. Marchetto United States 34 6.6k 1.0× 1.7k 0.8× 1.1k 0.6× 1.7k 1.0× 451 0.4× 75 10.0k
Flora M. Vaccarino United States 50 4.6k 0.7× 1.2k 0.5× 2.4k 1.3× 2.7k 1.6× 640 0.6× 122 8.8k
Laurent Nguyen Belgium 53 4.4k 0.6× 773 0.4× 1.8k 0.9× 2.2k 1.3× 813 0.7× 168 8.8k
Linda Hu United States 25 10.0k 1.5× 1.7k 0.8× 835 0.4× 3.0k 1.8× 1.1k 1.0× 27 14.4k

Countries citing papers authored by Yi Eve Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yi Eve Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Eve Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Eve Sun. A scholar is included among the top collaborators of Yi Eve 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 Yi Eve Sun. Yi Eve 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.
Xue, Yanan, Junping Zhou, Huiling Zhang, et al.. (2025). Advancements in Wound Management: Microenvironment-Sensitive Bioactive Dressings with On-Demand Regulations for Diabetic Wounds. Engineering. 48. 234–261. 4 indexed citations
2.
Gao, Wenxia, Xueyan Yang, Zirui Liu, et al.. (2025). Spatial Cell Atlas of Lateral Septum Reveals Changes Underlying Anxiety and Fear Learning Deficits in Mice with Abnormal Immunity. International Journal of Biological Sciences. 21(14). 6389–6410.
3.
Li, Ruiyu, et al.. (2025). Application of PCA-GBRT/RF model for predicting heat flux on boiler water-cooled wall. Applied Thermal Engineering. 273. 126580–126580.
4.
Sun, Yi Eve & Wei Pan. (2025). Brain organoids: a new paradigm for studying human neuropsychiatric disorders. Frontiers in Neuroscience. 19. 1699814–1699814.
5.
Sun, Yi Eve, Xiaobing Huang, Jun Ren, & Zhongwen Wang. (2024). Highly efficient construction of angular polycycles. Nature Communications. 15(1). 9206–9206. 1 indexed citations
6.
Gao, Wenxia, Chunxue Zhang, Xueyan Yang, et al.. (2024). Can miRNAs in MSCs-EVs Offer a Potential Treatment for Hypoxic-ischemic Encephalopathy?. Stem Cell Reviews and Reports. 21(1). 236–253. 5 indexed citations
7.
Chen, Ke, Jin Zeng, Yi Eve Sun, et al.. (2021). Junction plakoglobin regulates and destabilizes HIF2α to inhibit tumorigenesis of renal cell carcinoma. Cancer Communications. 41(4). 316–332. 11 indexed citations
8.
Zhou, Liqiang, Jiping Liu, Min Liu, et al.. (2020). Single-cell RNA-seq analysis revealed long-lasting adverse effects of tamoxifen on neurogenesis in prenatal and adult brains. Proceedings of the National Academy of Sciences. 117(32). 19578–19589. 31 indexed citations
9.
Wen, Jing, Yanwu Zeng, Zhuoqing Fang, et al.. (2017). Single-cell analysis reveals lineage segregation in early post-implantation mouse embryos. Journal of Biological Chemistry. 292(23). 9840–9854. 23 indexed citations
10.
Li, Quan, Dawn H. Loh, Takashi Kudo, et al.. (2015). Circadian rhythm disruption in a mouse model of Rett syndrome circadian disruption in RTT. Neurobiology of Disease. 77. 155–164. 34 indexed citations
11.
Zhao, Jing, Quan Lin, Kevin J. Kim, et al.. (2015). Ngn1 inhibits astrogliogenesis through induction of miR-9 during neuronal fate specification. eLife. 4. e06885–e06885. 33 indexed citations
12.
Xue, Zhigang, Kevin Huang, Chaochao Cai, et al.. (2013). Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing. Nature. 500(7464). 593–597. 723 indexed citations breakdown →
13.
Wu, Hao, Ana C. D’Alessio, Shinsuke Ito, et al.. (2011). Genome-wide analysis of 5-hydroxymethylcytosine distribution reveals its dual function in transcriptional regulation in mouse embryonic stem cells. Genes & Development. 25(7). 679–684. 434 indexed citations
14.
Wilburn, B., Dobrila D. Rudnicki, Jing Zhao, et al.. (2011). An Antisense CAG Repeat Transcript at JPH3 Locus Mediates Expanded Polyglutamine Protein Toxicity in Huntington's Disease-like 2 Mice. Neuron. 70(3). 427–440. 107 indexed citations
15.
Wu, Hao, Ana C. D’Alessio, Shinsuke Ito, et al.. (2011). Dual functions of Tet1 in transcriptional regulation in mouse embryonic stem cells. Nature. 473(7347). 389–393. 501 indexed citations breakdown →
16.
Wu, Hao, Volkan Coskun, Jifang Tao, et al.. (2010). Dnmt3a-Dependent Nonpromoter DNA Methylation Facilitates Transcription of Neurogenic Genes. Science. 329(5990). 444–448. 466 indexed citations
17.
Coskun, Volkan, Hao Wu, Bruno Blanchi, et al.. (2008). CD133 + neural stem cells in the ependyma of mammalian postnatal forebrain. Proceedings of the National Academy of Sciences. 105(3). 1026–1031. 258 indexed citations
18.
Wu, Hao, Jun‐Wei Xu, Zhiping P. Pang, et al.. (2007). Integrative genomic and functional analyses reveal neuronal subtype differentiation bias in human embryonic stem cell lines. Proceedings of the National Academy of Sciences. 104(34). 13821–13826. 116 indexed citations
19.
Sun, Yi Eve & Hao Wu. (2006). The Ups and Downs of BDNF in Rett Syndrome. Neuron. 49(3). 321–323. 30 indexed citations
20.
Damelin, Marc, et al.. (2005). Decatenation checkpoint deficiency in stem and progenitor cells. Cancer Cell. 8(6). 479–484. 61 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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