Ye Zhang

2.4k total citations
93 papers, 1.6k citations indexed

About

Ye Zhang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Ye Zhang has authored 93 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 44 papers in Cancer Research and 10 papers in Surgery. Recurrent topics in Ye Zhang's work include Cancer-related molecular mechanisms research (26 papers), MicroRNA in disease regulation (21 papers) and Circular RNAs in diseases (12 papers). Ye Zhang is often cited by papers focused on Cancer-related molecular mechanisms research (26 papers), MicroRNA in disease regulation (21 papers) and Circular RNAs in diseases (12 papers). Ye Zhang collaborates with scholars based in China, United States and Uzbekistan. Ye Zhang's co-authors include James Clancy, Crislyn D’Souza‐Schorey, Yufei Shen, Fan Tang, Shi H, Yan Tie, Dandan Peng, Tong Wang, Qing Lin and Hongbo Fang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Cell Biology.

In The Last Decade

Ye Zhang

88 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Zhang China 24 1.1k 665 185 141 132 93 1.6k
Pai‐Sheng Chen Taiwan 16 1.4k 1.2× 783 1.2× 244 1.3× 119 0.8× 126 1.0× 37 1.8k
Yong Zeng China 19 922 0.8× 534 0.8× 259 1.4× 136 1.0× 124 0.9× 73 1.4k
Lei Cao China 26 1.2k 1.0× 692 1.0× 204 1.1× 109 0.8× 207 1.6× 84 2.0k
Dongliang Chen China 21 1.4k 1.2× 630 0.9× 167 0.9× 77 0.5× 78 0.6× 67 1.9k
Sajad Najafi Iran 28 1.2k 1.1× 903 1.4× 241 1.3× 88 0.6× 213 1.6× 76 1.7k
Shih‐Hsuan Chan Taiwan 18 1.1k 0.9× 694 1.0× 237 1.3× 109 0.8× 274 2.1× 30 1.6k
Peng Yao United States 23 1.4k 1.2× 484 0.7× 169 0.9× 92 0.7× 274 2.1× 56 1.9k
Jinghao Sheng China 26 1.2k 1.1× 561 0.8× 124 0.7× 73 0.5× 157 1.2× 62 1.8k
Juan Wu China 23 1.0k 0.9× 344 0.5× 251 1.4× 82 0.6× 96 0.7× 70 1.5k

Countries citing papers authored by Ye Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Zhang. A scholar is included among the top collaborators of Ye Zhang 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 Ye Zhang. Ye Zhang 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, Jiahua, et al.. (2025). Deciphering the challenge: rhabdomyolysis diagnosis in food-dependent exercise-induced anaphylaxis. Oxford Medical Case Reports. 2025(3). omae200–omae200.
2.
Deng, Yalan, Liqing Lu, Dandan Zhu, et al.. (2024). MafG/MYH9-LCN2 axis promotes liver fibrosis through inhibiting ferroptosis of hepatic stellate cells. Cell Death and Differentiation. 31(9). 1127–1139. 20 indexed citations
3.
Lv, Yafeng, Hongbo Li, Jing Wang, et al.. (2024). Identification of AAV serotypes for gene therapy in Krabbe iPSCs-derived brain organoids. Genes & Diseases. 12(1). 101269–101269.
4.
Xue, Chao, Wei Zhuo, Ye Zhang, et al.. (2024). Activation of CTU2 expression by LXR promotes the development of hepatocellular carcinoma. Cell Biology and Toxicology. 40(1). 23–23.
5.
Zhou, Zhihao, Shuwen Liu, Ye Zhang, et al.. (2023). microRNA-497 slows esophageal cancer development and reverses chemotherapy resistance through its target QKI. Aging. 15(9). 3791–3806.
6.
Zhang, Ye, Lijing Zhu, Zheng Zhou, et al.. (2023). Notch activation promotes bone metastasis via SPARC inhibition in adenoid cystic carcinoma. Oral Diseases. 30(3). 1220–1233. 2 indexed citations
7.
Song, Kai, Bin Tu, Yang Zhou, et al.. (2023). WTAP boosts lipid oxidation and induces diabetic cardiac fibrosis by enhancing AR methylation. iScience. 26(10). 107931–107931. 17 indexed citations
8.
Cao, Chunyu, et al.. (2023). rAAV2-Mediated Restoration of GALC in Neural Stem Cells from Krabbe Patient-Derived iPSCs. Pharmaceuticals. 16(4). 624–624. 3 indexed citations
9.
Li, Aidong, et al.. (2023). Unraveling the connection between gut microbiota and Alzheimer’s disease: a two-sample Mendelian randomization analysis. Frontiers in Aging Neuroscience. 15. 1273104–1273104. 9 indexed citations
10.
Zuo, Zhenyu, Guanghui Yang, Haiyu Wang, et al.. (2022). Klf4 methylated by Prmt1 restrains the commitment of primitive endoderm. Nucleic Acids Research. 50(4). 2005–2018. 8 indexed citations
11.
Zhu, Qi, et al.. (2022). biomarConstructionand Validation of a risk model Based on Cuprotosis-related LncRNAsin Colon Adenocarcinoma. Cellular and Molecular Biology. 68(12). 84–90. 1 indexed citations
12.
Deng, Yalan, Liqing Lu, Xujun Liang, et al.. (2022). DNA methylation-mediated silencing of Neuronatin promotes hepatocellular carcinoma proliferation through the PI3K-Akt signaling pathway. Life Sciences. 312. 121266–121266. 5 indexed citations
13.
Li, Mei, Jing Wang, Fenfen Wang, et al.. (2021). Microbiota fermentation characteristics of acylated starches and the regulation mechanism of short-chain fatty acids on hepatic steatosis. Food & Function. 12(18). 8659–8668. 28 indexed citations
14.
Liu, Li, et al.. (2019). Methylation of C/EBPα by PRMT1 Inhibits Its Tumor-Suppressive Function in Breast Cancer. Cancer Research. 79(11). 2865–2877. 61 indexed citations
15.
Clancy, James, et al.. (2019). An ARF6–Exportin-5 axis delivers pre-miRNA cargo to tumour microvesicles. Nature Cell Biology. 21(7). 856–866. 107 indexed citations
16.
Zhang, Lei, et al.. (2019). Brn4 promotes the differentiation of radial glial cells into neurons by inhibiting CtBP2. Life Sciences. 254. 116866–116866. 7 indexed citations
17.
Wang, Lingxia, Jing Wang, Tingting Qu, Ye Zhang, & Yufei Shen. (2014). Reversible acetylation of Lin28 mediated by PCAF and SIRT1. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(6). 1188–1195. 16 indexed citations
18.
Zhang, Junying, Li Yin, Jian Wu, et al.. (2014). Detection of serum VEGF and MMP-9 levels by Luminex multiplexed assays in patients with breast infiltrative ductal carcinoma. Experimental and Therapeutic Medicine. 8(1). 175–180. 15 indexed citations
19.
Mi, Yang, et al.. (2011). Mechanism of JmjC-containing protein Hairless in the regulation of vitamin D receptor function. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1812(12). 1675–1680. 4 indexed citations
20.
Zhang, Ye, Gengyun Wen, Genze Shao, et al.. (2008). TGFBI Deficiency Predisposes Mice to Spontaneous Tumor Development. Cancer Research. 69(1). 37–44. 99 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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