Meng Ye

1.2k total citations
47 papers, 876 citations indexed

About

Meng Ye is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Meng Ye has authored 47 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Meng Ye's work include Epigenetics and DNA Methylation (14 papers), Ubiquitin and proteasome pathways (8 papers) and Cancer-related gene regulation (7 papers). Meng Ye is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Ubiquitin and proteasome pathways (8 papers) and Cancer-related gene regulation (7 papers). Meng Ye collaborates with scholars based in China, United States and France. Meng Ye's co-authors include Jinyun Li, Chongchang Zhou, Shiwei Duan, Xiaofeng Jin, Tao Huang, Panpan Liu, Chao Ni, Yanping Le, Leiting Xu and Zhongwei Lv and has published in prestigious journals such as PLoS ONE, New Phytologist and Applied Microbiology and Biotechnology.

In The Last Decade

Meng Ye

45 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Ye China 19 651 246 94 79 68 47 876
Ming Zeng China 17 512 0.8× 155 0.6× 82 0.9× 74 0.9× 48 0.7× 44 971
Wojciech Barczak Poland 16 416 0.6× 189 0.8× 114 1.2× 54 0.7× 52 0.8× 31 717
Zhengming Wang China 14 495 0.8× 280 1.1× 114 1.2× 81 1.0× 28 0.4× 36 791
Jianlin Zhou China 21 744 1.1× 345 1.4× 151 1.6× 62 0.8× 110 1.6× 53 1.1k
Yu Hou China 20 680 1.0× 287 1.2× 103 1.1× 37 0.5× 81 1.2× 55 1.0k
Pachiappan Arjunan United States 16 510 0.8× 141 0.6× 136 1.4× 62 0.8× 100 1.5× 28 1.0k
Hyeyoung Nam United States 15 326 0.5× 127 0.5× 115 1.2× 120 1.5× 70 1.0× 30 1.2k
D. V. Maltseva Russia 17 561 0.9× 279 1.1× 125 1.3× 54 0.7× 54 0.8× 63 878

Countries citing papers authored by Meng Ye

Since Specialization
Citations

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

Fields of papers citing papers by Meng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Ye. A scholar is included among the top collaborators of Meng Ye 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 Meng Ye. Meng Ye 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.
Ran, Ting, et al.. (2025). Gender-specific correlations between serum lipid profiles and intra-pancreatic fat deposition: a cross-sectional study. Lipids in Health and Disease. 23(1). 384–384. 2 indexed citations
3.
Wang, Xuan, et al.. (2024). The ING protein Fng2 associated with RPD3 HDAC complex for the regulation of fungal development and pathogenesis in wheat head blight fungus. International Journal of Biological Macromolecules. 268(Pt 2). 131938–131938. 2 indexed citations
4.
Ye, Meng, et al.. (2023). The crosstalk between ubiquitination and endocrine therapy. Journal of Molecular Medicine. 101(5). 461–486. 2 indexed citations
5.
Zhang, Jie, Tingting Hao, Qingqing Zhang, et al.. (2023). Faraday cage-type ECL biosensor for the detection of circulating tumor cell MCF-7. Analytica Chimica Acta. 1271. 341465–341465. 10 indexed citations
6.
Ye, Meng, Panpan Huang, Huiquan Liu, et al.. (2022). The Fng3 ING protein regulates H3 acetylation and H4 deacetylation by interacting with two distinct histone‐modifying complexes. New Phytologist. 235(6). 2350–2364. 14 indexed citations
7.
Wang, Jiali, et al.. (2021). Hsa_circ_0043278 Inhibits Tumorigenesis and is Downregulated in Colorectal Cancer. Cancer Management and Research. Volume 13. 965–975. 7 indexed citations
8.
Ye, Meng, et al.. (2021). Fng1 is involved in crosstalk between histone acetylation and methylation. Current Genetics. 67(4). 535–538. 5 indexed citations
9.
Ye, Meng, Jingyi Ren, Huiquan Liu, et al.. (2020). Opposing functions of Fng1 and the Rpd3 HDAC complex in H4 acetylation in Fusarium graminearum. PLoS Genetics. 16(11). e1009185–e1009185. 29 indexed citations
10.
Ye, Meng, Qihong Ni, Haozhe Qi, et al.. (2018). Exosomes Derived from Human Induced Pluripotent Stem Cells-Endothelia Cells Promotes Postnatal Angiogenesis in Mice Bearing Ischemic Limbs. International Journal of Biological Sciences. 15(1). 158–168. 52 indexed citations
11.
Wu, Zhijun, Qiang Liu, Chunmin Wang, et al.. (2017). A Comparative Benchmark Dose Study for N, N-Dimethylformamide Induced Liver Injury in a Chinese Occupational Cohort. Toxicological Sciences. 158(1). 140–150. 20 indexed citations
12.
Li, Jinyun, Chongchang Zhou, Guoli Wang, et al.. (2017). Promoter hypermethylation of SLIT2 is a risk factor and potential diagnostic biomarker for nasopharyngeal carcinoma. Gene. 644. 74–79. 6 indexed citations
13.
Ye, Meng, Tao Huang, Jinyun Li, et al.. (2017). Role of CDH13 promoter methylation in the carcinogenesis, progression, and prognosis of colorectal cancer. Medicine. 96(4). e5956–e5956. 25 indexed citations
14.
Chen, Cheng, Chongchang Zhou, Tao Huang, et al.. (2017). DNA methylation of CMTM3 , SSTR2 , and MDFI genes in colorectal cancer. Gene. 630. 1–7. 41 indexed citations
15.
Huang, Tao, Jinyun Li, Cheng Zhang, et al.. (2016). Distinguishing Lung Adenocarcinoma from Lung Squamous Cell Carcinoma by Two Hypomethylated and Three Hypermethylated Genes: A Meta-Analysis. PLoS ONE. 11(2). e0149088–e0149088. 36 indexed citations
16.
Ye, Meng, et al.. (2016). The association between methylated <em>CDKN2A</em> and cervical carcinogenesis, and its diagnostic value in cervical cancer: a meta-analysis. Therapeutics and Clinical Risk Management. Volume 12. 1249–1260. 14 indexed citations
17.
Tang, Linlin, Huadan Ye, Lingyan Wang, et al.. (2014). Elevated CpG island methylation of GCK gene predicts the risk of type 2 diabetes in Chinese males. Gene. 547(2). 329–333. 29 indexed citations
18.
Lv, Zhongwei, Dan Li, Benjamin Pulli, et al.. (2014). Theranostic nanoparticles based on bioreducible polyethylenimine-coated iron oxide for reduction-responsive gene delivery and magnetic resonance imaging. International Journal of Nanomedicine. 9. 3347–3347. 38 indexed citations
19.
Jiang, Danjie, Dawei Zheng, Lingyan Wang, et al.. (2013). Elevated PLA2G7 Gene Promoter Methylation as a Gender-Specific Marker of Aging Increases the Risk of Coronary Heart Disease in Females. PLoS ONE. 8(3). e59752–e59752. 72 indexed citations
20.
Cheng, Jia, Lingyan Wang, Leiting Xu, et al.. (2013). Gender-dependent miR-375 promoter methylation and the risk of type 2 diabetes. Experimental and Therapeutic Medicine. 5(6). 1687–1692. 8 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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