Ming Yu

2.4k total citations
41 papers, 1.4k citations indexed

About

Ming Yu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Ming Yu has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Plant Science. Recurrent topics in Ming Yu's work include Epigenetics and DNA Methylation (10 papers), Genomics and Chromatin Dynamics (6 papers) and RNA modifications and cancer (6 papers). Ming Yu is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Genomics and Chromatin Dynamics (6 papers) and RNA modifications and cancer (6 papers). Ming Yu collaborates with scholars based in China, United States and Sweden. Ming Yu's co-authors include Robert G. Roeder, Ting Ni, Jun Zhu, Alan Cantor, Ernest Fraenkel, Lars Terenius, Huafeng Xie, Tyler B. Moran, Tomoyoshi Nakadai and Wenjing Yang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ming Yu

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Yu China 21 1.0k 172 167 120 117 41 1.4k
Michelle J. Doyle United States 13 837 0.8× 167 1.0× 127 0.8× 57 0.5× 194 1.7× 17 1.3k
Brian E. McIntosh United States 13 561 0.5× 148 0.9× 76 0.5× 64 0.5× 117 1.0× 20 971
Lucy Ghoda United States 19 967 0.9× 139 0.8× 75 0.4× 158 1.3× 80 0.7× 43 1.4k
Shuwen Wang China 22 688 0.7× 151 0.9× 117 0.7× 65 0.5× 127 1.1× 56 1.1k
Peter Tolias United States 21 975 0.9× 90 0.5× 58 0.3× 142 1.2× 155 1.3× 46 1.4k
Haiyan Xiao China 21 679 0.7× 593 3.4× 104 0.6× 156 1.3× 123 1.1× 90 1.5k
Veronica A. Raker Germany 13 2.1k 2.0× 146 0.8× 251 1.5× 47 0.4× 198 1.7× 14 2.4k
Elisa Venturini Italy 11 1.1k 1.1× 334 1.9× 262 1.6× 70 0.6× 169 1.4× 17 1.5k
E Turco Italy 12 616 0.6× 89 0.5× 140 0.8× 48 0.4× 178 1.5× 15 1.0k
Kaiwei Liang China 18 1.3k 1.3× 90 0.5× 105 0.6× 34 0.3× 148 1.3× 44 1.6k

Countries citing papers authored by Ming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yu. A scholar is included among the top collaborators of Ming Yu 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 Yu. Ming Yu 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.
Zhang, Tao, et al.. (2025). Caveolin-1 in prostate Cancer: Novel insights and therapeutic opportunities—A review. International Journal of Biological Macromolecules. 319(Pt 2). 145410–145410.
2.
Zhao, Ruoyu, Tian Tian, Gang Wei, et al.. (2024). MLL-AF9 regulates transcriptional initiation in mixed lineage leukemic cells. Journal of Biological Chemistry. 300(8). 107566–107566. 1 indexed citations
3.
Zhao, Ruoyu, Aiwei Wu, Weixu Wang, et al.. (2023). Tox4 regulates transcriptional elongation and reinitiation during murine T cell development. Communications Biology. 6(1). 613–613. 6 indexed citations
4.
Wu, Aiwei, et al.. (2022). TOX4 facilitates promoter-proximal pausing and C-terminal domain dephosphorylation of RNA polymerase II in human cells. Communications Biology. 5(1). 300–300. 7 indexed citations
5.
Wu, Aiwei, Murat Cevher, Ziling Liu, et al.. (2021). DOT1L complex regulates transcriptional initiation in human erythroleukemic cells. Proceedings of the National Academy of Sciences. 118(27). 31 indexed citations
6.
Zhao, Wei, et al.. (2021). An underlying mechanism of qE deficiency in marine angiosperm Zostera marina. Photosynthesis Research. 148(3). 87–99. 3 indexed citations
7.
Wang, Hongye, Yile Huang, Ming Yu, et al.. (2021). Muscle regeneration controlled by a designated DNA dioxygenase. Cell Death and Disease. 12(6). 535–535. 14 indexed citations
8.
Pei, Tong‐Tong, Hao Li, Xiaoye Liang, et al.. (2020). Intramolecular chaperone-mediated secretion of an Rhs effector toxin by a type VI secretion system. Nature Communications. 11(1). 1865–1865. 54 indexed citations
9.
Shen, Ting, Huan Li, Yifan Song, et al.. (2017). Antisense transcription regulates the expression of sense gene via alternative polyadenylation. Protein & Cell. 9(6). 540–552. 5 indexed citations
10.
Yu, Ming, Wenjing Yang, Ting Ni, et al.. (2015). RNA polymerase II–associated factor 1 regulates the release and phosphorylation of paused RNA polymerase II. Science. 350(6266). 1383–1386. 182 indexed citations
11.
Yu, Ming, Tali Mazor, Hui Huang, et al.. (2012). Direct Recruitment of Polycomb Repressive Complex 1 (PRC1) to Chromatin by Core Binding Transcription Factors. Europe PMC (PubMed Central). 160 indexed citations
12.
Yu, Ming, Laura Riva, Huafeng Xie, et al.. (2009). Insights into GATA-1-Mediated Gene Activation versus Repression via Genome-wide Chromatin Occupancy Analysis. Molecular Cell. 36(4). 682–695. 250 indexed citations
13.
Vukojević, Vladana, Ming Yu, Claudio D’Addario, et al.. (2008). Ethanol/Naltrexone Interactions at the mu-Opioid Receptor. CLSM/FCS Study in Live Cells. PLoS ONE. 3(12). e4008–e4008. 14 indexed citations
14.
Vukojević, Vladana, Ming Yu, Claudio D’Addario, et al.. (2008). µ‐Opioid receptor activation in live cells. The FASEB Journal. 22(10). 3537–3548. 27 indexed citations
15.
Wang, Lili, et al.. (2006). Establishment of a Cell Model Based on FKBP12 Dimerization for Screening of FK506-like Neurotrophic Small Molecular Compounds. SLAS DISCOVERY. 11(3). 225–235. 1 indexed citations
16.
Persson, Anders I., et al.. (2005). Opioid-induced regulation of gene expression in PC12 cells stably transfected with mu-opioid receptor. Neuroscience Letters. 396(3). 197–201. 7 indexed citations
17.
Edström, Erik, Susanna Kullberg, Ming Yu, Huaiyu Zheng, & Brun Ulfhake. (2004). MHC Class I, β2 microglobulin, and the INF‐γ receptor are upregulated in aged motoneurons. Journal of Neuroscience Research. 78(6). 892–900. 22 indexed citations
18.
Yu, Ming. (2001). Research Progress in Bryophyte Sporogenesis. Chinese Bulletin of Botany. 1 indexed citations
19.
Ulfhake, Brun, Esbjörn Bergman, Erik Edström, et al.. (2000). Regulation of Neurotrophin Signaling in Aging Sensory and Motoneurons. Molecular Neurobiology. 21(3). 109–136. 32 indexed citations
20.
Bergman, Esbjörn, Susanna Kullberg, Ming Yu, & Brun Ulfhake. (1999). Upregulation of GFRα-1 and c-ret in primary sensory neurons and spinal motoneurons of aged rats. Journal of Neuroscience Research. 57(2). 153–165. 21 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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