Ming-an Sun

941 total citations
37 papers, 623 citations indexed

About

Ming-an Sun is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ming-an Sun has authored 37 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Ming-an Sun's work include Epigenetics and DNA Methylation (17 papers), RNA modifications and cancer (10 papers) and Genomics and Phylogenetic Studies (7 papers). Ming-an Sun is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), RNA modifications and cancer (10 papers) and Genomics and Phylogenetic Studies (7 papers). Ming-an Sun collaborates with scholars based in United States, China and Canada. Ming-an Sun's co-authors include Hehuang Xie, Judith A. Kassis, J. Lesley Brown, Jianjun Chen, Yejun Wang, Zhilong Wang, Jianfeng Ren, Liqing Zhang, Xuemei Lu and Bin Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ming-an Sun

34 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming-an Sun United States	14	487	118	77	59	41	37	623
Manjinder S. Cheema Canada	14	413 0.8×	122 1.0×	117 1.5×	52 0.9×	16 0.4×	25	605
Ian C. McDowell United States	13	506 1.0×	132 1.1×	59 0.8×	47 0.8×	58 1.4×	18	802
Jeong-Hyeon Choi United States	11	356 0.7×	109 0.9×	76 1.0×	69 1.2×	10 0.2×	23	577
Wenjie Wu United States	17	276 0.6×	105 0.9×	27 0.4×	185 3.1×	23 0.6×	33	735
Yuwen Liu China	10	429 0.9×	98 0.8×	52 0.7×	29 0.5×	7 0.2×	24	654
Jason N. Pitt United States	13	737 1.5×	152 1.3×	70 0.9×	27 0.5×	19 0.5×	17	915
José Villaveces Germany	7	656 1.3×	112 0.9×	213 2.8×	21 0.4×	16 0.4×	9	760
Alexander M. Mazur Russia	14	469 1.0×	131 1.1×	167 2.2×	33 0.6×	13 0.3×	40	676

Countries citing papers authored by Ming-an Sun

Since Specialization

Citations

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

Fields of papers citing papers by Ming-an Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-an Sun

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

All Works

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20 of 20 papers shown

Yuan, Long, et al.. (2025). NR4A1 mediates PRRSV-induced ileal injury in piglets by transcriptional regulation of NLRP3. Veterinary Microbiology. 309. 110677–110677.

Shao, Xuan, Han Cai, Yinan Wang, et al.. (2024). TFEB safeguards trophoblast syncytialization in humans and mice. Proceedings of the National Academy of Sciences. 121(28). e2404062121–e2404062121. 13 indexed citations

Brown, J. Lesley, Liangliang Zhang, Pedro P. Rocha, Judith A. Kassis, & Ming-an Sun. (2024). Polycomb protein binding and looping in the ON transcriptional state. Science Advances. 10(17). eadn1837–eadn1837. 3 indexed citations

Erokhin, Maksim, J. Lesley Brown, Nadezhda E. Vorobyeva, et al.. (2023). Crol contributes to PRE-mediated repression and Polycomb group proteins recruitment inDrosophila. Nucleic Acids Research. 51(12). 6087–6100. 6 indexed citations

Li, Yuzhuo, et al.. (2023). Regulation of the three-dimensional chromatin organization by transposable elements in pig spleen. Computational and Structural Biotechnology Journal. 21. 4580–4588. 1 indexed citations

Xie, Yunxiao, et al.. (2023). Integrative ATAC-seq and RNA-seq analyses of IPEC-J2 cells reveals porcine transcription and chromatin accessibility changes associated with Escherichia coli F18ac inhibited by Lactobacillus reuteri. Frontiers in Microbiology. 14. 2 indexed citations

Chen, Chao, Ming-an Sun, Claude C. Warzecha, et al.. (2020). HIRA, a DiGeorge Syndrome Candidate Gene, Confers Proper Chromatin Accessibility on HSCs and Supports All Stages of Hematopoiesis. Cell Reports. 30(7). 2136–2149.e4. 13 indexed citations

Hu, Yueming, Xing‐sheng Shu, Ming-an Sun, et al.. (2020). Improving the diversity of captured full-length isoforms using a normalized single-molecule RNA-sequencing method. Communications Biology. 3(1). 403–403. 8 indexed citations

Xu, Xiguang, Jianlin He, Alexander Murray, et al.. (2019). EGR1 recruits TET1 to shape the brain methylome during development and upon neuronal activity. Nature Communications. 10(1). 3892–3892. 96 indexed citations

10.

Shao, Xiaojian & Ming-an Sun. (2018). Predicting Gene Expression Noise from Gene Expression Variations. Methods in molecular biology. 1751. 183–198.

11.

Cheng, Han, Yejun Wang, & Ming-an Sun. (2018). Comparison of Gene Expression Profiles in Nonmodel Eukaryotic Organisms with RNA-Seq. Methods in molecular biology. 1751. 3–16. 6 indexed citations

12.

Huang, Qianli, Ming-an Sun, & Ping Yan. (2018). Pathway and Network Analysis of Differentially Expressed Genes in Transcriptomes. Methods in molecular biology. 1751. 35–55. 6 indexed citations

13.

Luo, Yanting, Jianlin He, Xiguang Xu, et al.. (2018). Integrative single-cell omics analyses reveal epigenetic heterogeneity in mouse embryonic stem cells. PLoS Computational Biology. 14(3). e1006034–e1006034. 13 indexed citations

14.

Tran, Hong, et al.. (2016). A Bayesian Assignment Method for Ambiguous Bisulfite Short Reads. PLoS ONE. 11(3). e0151826–e0151826.

15.

Sharif, Jafar, Takaho A. Endo, Manabu Nakayama, et al.. (2016). Activation of Endogenous Retroviruses in Dnmt1 −/− ESCs Involves Disruption of SETDB1-Mediated Repression by NP95 Binding to Hemimethylated DNA. Cell stem cell. 19(1). 81–94. 66 indexed citations

16.

Ren, Jianfeng, Zhanhui Hou, Haiyan Wang, et al.. (2016). Intraspecific Variation in Mitogenomes of Five Crassostrea Species Provides Insight into Oyster Diversification and Speciation. Marine Biotechnology. 18(2). 242–254. 30 indexed citations

17.

Wu, Xiaowei, Ming-an Sun, Hongxiao Zhu, & Hehuang Xie. (2015). Nonparametric Bayesian clustering to detect bipolar methylated genomic loci. BMC Bioinformatics. 16(1). 11–11. 8 indexed citations

18.

Ma, Dongming, et al.. (2015). A Genome-Wide Scenario of Terpene Pathways in Self-pollinated Artemisia annua. Molecular Plant. 8(11). 1580–1598. 55 indexed citations

19.

Shao, Xiaojian, Cuiyun Zhang, Ming-an Sun, Xuemei Lu, & Hehuang Xie. (2014). Deciphering the heterogeneity in DNA methylation patterns during stem cell differentiation and reprogramming. BMC Genomics. 15(1). 978–978. 15 indexed citations

20.

Zhao, Lei, Ming-an Sun, Zejuan Li, et al.. (2014). The dynamics of DNA methylation fidelity during mouse embryonic stem cell self-renewal and differentiation. Genome Research. 24(8). 1296–1307. 60 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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