Zeyi Liu

4.5k total citations
94 papers, 3.1k citations indexed

About

Zeyi Liu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zeyi Liu has authored 94 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 33 papers in Cancer Research and 26 papers in Oncology. Recurrent topics in Zeyi Liu's work include Cancer-related molecular mechanisms research (21 papers), RNA modifications and cancer (19 papers) and MicroRNA in disease regulation (18 papers). Zeyi Liu is often cited by papers focused on Cancer-related molecular mechanisms research (21 papers), RNA modifications and cancer (19 papers) and MicroRNA in disease regulation (18 papers). Zeyi Liu collaborates with scholars based in China, United States and Poland. Zeyi Liu's co-authors include Yuanyuan Zeng, Jianjie Zhu, Zhe Lei, Jian‐An Huang, Wenwen Du, Hongtao Zhang, Dan Shen, Jun Zhao, Longqiang Wang and Wenwen Du and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

In The Last Decade

Zeyi Liu

86 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeyi Liu China 28 1.8k 1.3k 1.0k 538 528 94 3.1k
Xiyun Deng China 32 1.6k 0.9× 903 0.7× 1.2k 1.2× 378 0.7× 736 1.4× 95 3.4k
Sichuan Xi United States 32 2.0k 1.1× 754 0.6× 1.4k 1.3× 568 1.1× 371 0.7× 55 3.2k
Xianjie Jiang China 19 1.5k 0.8× 949 0.8× 997 1.0× 413 0.8× 782 1.5× 42 2.9k
Xiaofang Che China 35 2.2k 1.2× 1.2k 1.0× 1.2k 1.1× 533 1.0× 600 1.1× 158 3.6k
Xin Hu China 27 1.3k 0.7× 822 0.7× 967 0.9× 406 0.8× 377 0.7× 96 2.5k
Germana Castelli Italy 29 1.6k 0.9× 950 0.8× 798 0.8× 478 0.9× 400 0.8× 97 3.1k
Yin Sun China 35 3.1k 1.7× 1.6k 1.3× 758 0.7× 724 1.3× 296 0.6× 116 4.2k
Yadi Wu United States 16 2.9k 1.6× 1.3k 1.0× 1.6k 1.5× 312 0.6× 455 0.9× 25 4.2k
Arja Jukkola‐Vuorinen Finland 25 898 0.5× 800 0.6× 1.0k 1.0× 341 0.6× 369 0.7× 51 2.2k
Nils Brünner Denmark 29 1.2k 0.7× 972 0.8× 1.0k 1.0× 322 0.6× 226 0.4× 96 2.4k

Countries citing papers authored by Zeyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zeyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zeyi Liu. A scholar is included among the top collaborators of Zeyi Liu 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 Zeyi Liu. Zeyi Liu 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.
Chen, Yuling, Zhaowei Yan, Weijie Zhang, et al.. (2025). Liensinine overcomes EGFR-TKI resistance in lung adenocarcinoma through DRP1-mediated autophagy. Phytomedicine. 140. 156593–156593.
2.
Zhang, Weijie, Yuanyuan Zeng, Changchun Ma, et al.. (2025). Targeting ATP7A-Dependent Copper Metabolic Homeostasis Induces Cuproptosis and Suppresses the Progression of Mutant KRAS-Driven Lung Cancer. Cancer Research. 85(20). 3999–4017.
3.
Yang, Bin, et al.. (2025). Systems Biology-Based Drug Repositioning Identifies Extracellular Matrix Module as a Therapeutic Target in Lung Squamous Cell Carcinoma. Journal of Medicinal Chemistry. 68(21). 22569–22587. 1 indexed citations
4.
Yang, Yang, Yuanyuan Zeng, Zeyi Liu, & Jian‐An Huang. (2025). Pathogen-induced mitochondrial dysfunction: mechanistic insights, immune crosstalk, and therapeutic opportunities. Frontiers in Cellular and Infection Microbiology. 15. 1714998–1714998.
5.
6.
Chen, Zhike, Weiguo Hu, Weibiao Zeng, et al.. (2025). Acetylation-dependent USP7-TRIM25 axis drives oncogenic progression in non-small cell lung cancer. Cell Death and Disease. 16(1). 695–695.
7.
Zhang, Jiansheng, Mengzhu Zhang, Chang Li, et al.. (2025). N6-methyladenosine Reader IGF2BP2-modified HMMR Promotes Non-small Cell Lung Cancer Metastasis via Interaction with MAP4K4. International Journal of Biological Sciences. 21(4). 1391–1409. 3 indexed citations
8.
Liu, Zeyi, Tianshou Zhao, Jian Zheng, et al.. (2024). Physicochemical and digestive properties of corn starch nanoparticles incorporated different polyphenols. International Journal of Biological Macromolecules. 265(Pt 2). 130681–130681. 24 indexed citations
9.
Liu, Zeyi, Tianshou Zhao, Jian Zheng, et al.. (2024). Influence of enzymatic extraction on the properties of corn starch. Food Bioscience. 58. 103775–103775. 10 indexed citations
10.
Zeng, Yuanyuan, Zhengyan Wu, Anqi Wang, et al.. (2024). Targeting TYK2 alleviates Rab27A-induced malignant progression of non-small cell lung cancer via disrupting IFNα-TYK2-STAT-HSPA5 axis. npj Precision Oncology. 8(1). 74–74. 2 indexed citations
11.
Chen, Yuling, Andrew Wang, Jianjun Li, et al.. (2024). Isotoosendanin exerts anti-tumor effects in NSCLC by enhancing the stability of SHP-2 and inhibiting the JAK/STAT3 pathway. Phytomedicine. 132. 155832–155832. 3 indexed citations
12.
Hong, Zhiyong, et al.. (2022). Efficient multi-view clustering networks. Applied Intelligence. 52(13). 14918–14934. 20 indexed citations
13.
Su, Zhiyue, Zhao Wang, Shengjie Wang, et al.. (2022). TIF1γ inhibits lung adenocarcinoma EMT and metastasis by interacting with the TAF15/TBP complex. Cell Reports. 41(3). 111513–111513. 15 indexed citations
14.
Zhang, Weijie, Jun Chen, Yue Li, et al.. (2022). Circ_0039908/miR-let-7c/RRM2 axis was identified played an important role in lung adenocarcinoma by integrated analysis. Journal of Cancer. 13(10). 2988–2999. 2 indexed citations
15.
Hensley, Patrick J., Jieming Li, Yang Zhang, et al.. (2020). Integrin-associated CD151 is a suppressor of prostate cancer progression.. PubMed Central. 12(4). 1428–1442. 10 indexed citations
16.
Wang, Longqiang, Xin Tong, Zhengyu Zhou, et al.. (2018). Circular RNA hsa_circ_0008305 (circPTK2) inhibits TGF-β-induced epithelial-mesenchymal transition and metastasis by controlling TIF1γ in non-small cell lung cancer. Molecular Cancer. 17(1). 140–140. 277 indexed citations
17.
Li, Chang, Liang Wan, Zeyi Liu, et al.. (2018). Long non-coding RNA XIST promotes TGF-β-induced epithelial-mesenchymal transition by regulating miR-367/141-ZEB2 axis in non-small-cell lung cancer. Cancer Letters. 418. 185–195. 148 indexed citations
18.
Zeng, Yuanyuan, Jianjie Zhu, Hualong Qin, et al.. (2017). Methylated +322–327 CpG site decreases hOGG1 mRNA expression in non-small cell lung cancer. Oncology Reports. 38(1). 529–537. 3 indexed citations
19.
Liu, Rengyun, Yuanyuan Zeng, Zhe Lei, et al.. (2014). JAK/STAT3 signaling is required for TGF-β-induced epithelial-mesenchymal transition in lung cancer cells. International Journal of Oncology. 44(5). 1643–1651. 249 indexed citations
20.
Lei, Zhe, Rengyun Liu, Jun Zhao, et al.. (2009). TGFBR1 Haplotypes and Risk of Non–Small-Cell Lung Cancer. Cancer Research. 69(17). 7046–7052. 22 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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