Ze-Yan Zhang

837 total citations
33 papers, 618 citations indexed

About

Ze-Yan Zhang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ze-Yan Zhang has authored 33 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Ze-Yan Zhang's work include CRISPR and Genetic Engineering (4 papers), Epigenetics and DNA Methylation (3 papers) and Glioma Diagnosis and Treatment (2 papers). Ze-Yan Zhang is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Epigenetics and DNA Methylation (3 papers) and Glioma Diagnosis and Treatment (2 papers). Ze-Yan Zhang collaborates with scholars based in China, United States and Japan. Ze-Yan Zhang's co-authors include Run‐Lei Du, Shangze Li, Xiaodong Zhang, Yifan Jia, Qi Zhang, Rongfu Tu, Huan Du, Xuemin Song, Zhe Zheng and Yantao He and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Ze-Yan Zhang

30 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ze-Yan Zhang China 13 444 158 86 67 60 33 618
David Cebrián Spain 10 371 0.8× 280 1.8× 77 0.9× 59 0.9× 46 0.8× 16 599
Daniela Bressanin Italy 15 515 1.2× 132 0.8× 84 1.0× 33 0.5× 68 1.1× 26 784
Xiaoxiao Wang United States 17 479 1.1× 249 1.6× 82 1.0× 45 0.7× 81 1.4× 25 705
Yikun Li China 15 525 1.2× 221 1.4× 80 0.9× 67 1.0× 84 1.4× 30 833
Jingtong Li China 12 254 0.6× 114 0.7× 144 1.7× 32 0.5× 66 1.1× 18 490
Xuxu Sun China 9 585 1.3× 181 1.1× 137 1.6× 59 0.9× 88 1.5× 20 724
Chang‐Uk Lim United States 13 343 0.8× 176 1.1× 87 1.0× 39 0.6× 43 0.7× 21 533
Kate Beishline United States 9 557 1.3× 140 0.9× 164 1.9× 26 0.4× 57 0.9× 11 706

Countries citing papers authored by Ze-Yan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ze-Yan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ze-Yan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ze-Yan Zhang. A scholar is included among the top collaborators of Ze-Yan 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 Ze-Yan Zhang. Ze-Yan 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.
Kang, Yuan‐Yuan, Tao Yang, Yongqin Liu, et al.. (2025). Heat stress targets and degrades BCR::ABL1 oncoproteins to overcome drug-resistance in Philadelphia chromosome-positive acute lymphoblastic leukemia. Leukemia. 39(9). 2140–2151. 2 indexed citations
2.
Yan, Jianjun, Jingbin Chen, Xingxing Yuan, et al.. (2023). Mapping of quantitative trait locus reveals PsXI gene encoding xylanase inhibitor as the candidate gene for bruchid (Callosobruchus spp.) resistance in pea (Pisum sativum L.). Frontiers in Plant Science. 14. 1057577–1057577. 4 indexed citations
3.
Yang, Jie, Qianghu Wang, Ze-Yan Zhang, et al.. (2022). DNA methylation-based epigenetic signatures predict somatic genomic alterations in gliomas. Nature Communications. 13(1). 4410–4410. 17 indexed citations
4.
Modrek, Aram S., Eskil Eskilsson, Ravesanker Ezhilarasan, et al.. (2022). PDPN marks a subset of aggressive and radiation-resistant glioblastoma cells. Frontiers in Oncology. 12. 941657–941657. 5 indexed citations
5.
6.
Li, Shangze, Ze-Yan Zhang, Jie Chen, et al.. (2022). NLK is required for Ras/ERK/SRF/ELK signaling to tune skeletal muscle development by phosphorylating SRF and antagonizing the SRF/MKL pathway. Cell Death Discovery. 8(1). 4–4. 4 indexed citations
7.
Xie, Ming, et al.. (2020). HOXA10 promotes the development of bladder cancer through regulating FOSL1.. PubMed. 24(6). 2945–2954. 14 indexed citations
8.
Wen, Di, Zhi Chen, Ze-Yan Zhang, & Qiangqiang Jia. (2020). The expression, purification, and substrate analysis of matrix metalloproteinases in Drosophila melanogaster. Protein Expression and Purification. 171. 105629–105629. 7 indexed citations
9.
Zhang, Ze-Yan, Yang Zheng, Kun Dong, & Huimin Dong. (2020). Effect of microRNA-7 on proliferation, invasion, migration and EMT of hepatoma cell line SMMC-7721.. PubMed. 24(23). 12153–12160. 2 indexed citations
10.
Zhang, Ze-Yan, et al.. (2020). NAA10 promotes proliferation of renal cell carcinoma by upregulating UPK1B.. PubMed. 24(22). 11553–11560. 12 indexed citations
11.
Zhang, Qi, Ze-Yan Zhang, Huan Du, et al.. (2019). DUB3 deubiquitinates and stabilizes NRF2 in chemotherapy resistance of colorectal cancer. Cell Death and Differentiation. 26(11). 2300–2313. 95 indexed citations
12.
Park, Soon Young, Yuji Piao, Emmanuel Martínez-Ledesma, et al.. (2019). Abstract 4678: Targeting MEK in EGFR amplified glioma stem like cells induces differentiation. Cancer Research. 79(13_Supplement). 4678–4678. 1 indexed citations
13.
Zhang, Ze-Yan, Tong Su, Jin‐Yi Wu, et al.. (2017). Synthesis, structure-activity relationships and preliminary mechanism of action of novel water-soluble 4-quinolone-3-carboxamides as antiproliferative agents. European Journal of Medicinal Chemistry. 140. 239–251. 32 indexed citations
14.
Dong, Zhen, Yen‐Shan Chen, Fan Wang, et al.. (2015). Small-molecule inhibitors targeting the DNA-binding domain of STAT3 suppress tumor growth, metastasis and STAT3 target gene expression in vivo. Oncogene. 35(6). 783–792. 92 indexed citations
15.
Zhang, Ze-Yan, et al.. (2014). Nemo-like kinase is critical for p53 stabilization and function in response to DNA damage. Cell Death and Differentiation. 21(10). 1656–1663. 35 indexed citations
16.
Li, Shangze, Huihui Zhang, Ze-Yan Zhang, et al.. (2013). ALLN hinders HCT116 tumor growth through Bax-dependent apoptosis. Biochemical and Biophysical Research Communications. 437(2). 325–330. 22 indexed citations
17.
18.
Nabinger, Sarah C., Xiaojun Li, Baskar Ramdas, et al.. (2012). The protein tyrosine phosphatase, Shp2, positively contributes to FLT3-ITD-induced hematopoietic progenitor hyperproliferation and malignant disease in vivo. Leukemia. 27(2). 398–408. 35 indexed citations
19.
Zhang, Ze-Yan, et al.. (2006). Suppression of EGFR expression by antisense or small interference RNA inhibits U251 glioma cell growth in vitro and in vivo. Cancer Gene Therapy. 13(5). 530–538. 72 indexed citations
20.
Zhang, Ze-Yan, et al.. (2003). Phylogenetic relationship of an extremely endangered species, Pinus squamata (Pinaceae) inferred from four sequences of the chloroplast genome and ITS of the nuclear ribosomal DNA. Journal of Integrative Plant Biology. 45(5). 530–535. 3 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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