Yongzi Chen

1.2k total citations
30 papers, 904 citations indexed

About

Yongzi Chen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yongzi Chen has authored 30 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Yongzi Chen's work include Machine Learning in Bioinformatics (9 papers), Genomics and Phylogenetic Studies (6 papers) and Lung Cancer Treatments and Mutations (3 papers). Yongzi Chen is often cited by papers focused on Machine Learning in Bioinformatics (9 papers), Genomics and Phylogenetic Studies (6 papers) and Lung Cancer Treatments and Mutations (3 papers). Yongzi Chen collaborates with scholars based in China, United States and Australia. Yongzi Chen's co-authors include Ziding Zhang, Zhen Chen, Yurong Tang, Xiao Feng Wang, Guoguang Ying, Chuan Wang, Jiangning Song, Geoffrey I. Webb, Fuyi Li and Tatsuya Akutsu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biomaterials.

In The Last Decade

Yongzi Chen

29 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongzi Chen China 14 739 132 100 62 58 30 904
Ching Chiek Koh United Kingdom 10 611 0.8× 150 1.1× 251 2.5× 142 2.3× 208 3.6× 12 862
Gai Yan United States 9 759 1.0× 124 0.9× 108 1.1× 101 1.6× 16 0.3× 16 943
Heike Helmbach Germany 8 456 0.6× 163 1.2× 60 0.6× 93 1.5× 31 0.5× 8 548
Arzu Umar Netherlands 18 617 0.8× 140 1.1× 167 1.7× 45 0.7× 337 5.8× 31 919
J. Rotonda United States 13 778 1.1× 199 1.5× 68 0.7× 180 2.9× 28 0.5× 16 1.1k
Klarisa Rikova United States 6 572 0.8× 225 1.7× 83 0.8× 53 0.9× 89 1.5× 9 824
Scott Galasinski United States 11 845 1.1× 85 0.6× 44 0.4× 63 1.0× 47 0.8× 15 1.0k
Huan Xiong China 14 431 0.6× 136 1.0× 80 0.8× 18 0.3× 11 0.2× 38 813
Morgan Pellerano France 12 337 0.5× 213 1.6× 40 0.4× 35 0.6× 18 0.3× 18 549

Countries citing papers authored by Yongzi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yongzi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongzi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yongzi Chen. A scholar is included among the top collaborators of Yongzi Chen 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 Yongzi Chen. Yongzi Chen 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, Yongzi, et al.. (2025). Characterization of novel sialylation-associated microRNA signature for prognostic assessment in breast cancer and its implications for the tumor microenvironment. The Journal of Steroid Biochemistry and Molecular Biology. 248. 106683–106683. 1 indexed citations
2.
Zhang, Kaili, Yiping Wang, S. S. Jiang, et al.. (2025). dsDAP: An efficient method for high-abundance DNA-encoded library construction in mammalian cells. International Journal of Biological Macromolecules. 298. 140089–140089. 1 indexed citations
3.
Liu, Huixia, Pei Zhao, Kaiyuan Wang, et al.. (2024). SLAM: Structure-aware lysine β-hydroxybutyrylation prediction with protein language model. International Journal of Biological Macromolecules. 280(Pt 1). 135741–135741. 2 indexed citations
4.
He, Yang, Chong Chen, Jingyi Zhang, et al.. (2023). Development of a nomogram based on serum cytokine-related riskscore in breast cancer. Frontiers in Oncology. 13. 1146463–1146463. 1 indexed citations
5.
Zhang, Huikun, Xiaoli Liu, Yongzi Chen, et al.. (2023). Water channel protein AQP1 in cytoplasm is a critical factor in breast cancer local invasion. Journal of Experimental & Clinical Cancer Research. 42(1). 49–49. 16 indexed citations
6.
Wang, Xiaofeng, Renxiang Yan, Yongzi Chen, & Yongji Wang. (2021). Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networks. Plant Molecular Biology. 105(6). 601–610. 8 indexed citations
7.
Zuo, Duo, Yongzi Chen, Xinwei Zhang, et al.. (2021). Identification of hub genes and their novel diagnostic and prognostic significance in pancreatic adenocarcinoma. Cancer Biology and Medicine. 19(7). 1029–1046. 8 indexed citations
9.
Zhang, Huikun, Xiaoli Liu, Yongzi Chen, et al.. (2021). Endocytic protein intersectin1-S shuttles into nucleus to suppress the DNA replication in breast cancer. Cell Death and Disease. 12(10). 922–922. 4 indexed citations
10.
Jia, Yongsheng, Krithika N. Kodumudi, Ganesan Ramamoorthi, et al.. (2021). Th1 cytokine interferon gamma improves response in HER2 breast cancer by modulating the ubiquitin proteasomal pathway. Molecular Therapy. 29(4). 1541–1556. 39 indexed citations
11.
Shi, Yehui, Yongsheng Jia, Weipeng Zhao, et al.. (2021). Tolerance and Pharmacokinetics of Recombinant Human Endostatin Administered as Single-Dose or Multiple-Dose Infusions in Patients With Advanced Solid Tumors: A Phase I Clinical Trial. Technology in Cancer Research & Treatment. 20. 2203806322–2203806322. 4 indexed citations
12.
Zhang, Su, Yongzi Chen, Lu Chen, et al.. (2020). Angiotensin-converting enzyme inhibitors have adverse effects in anti-angiogenesis therapy for hepatocellular carcinoma. Cancer Letters. 501. 147–161. 14 indexed citations
13.
Li, Pan, et al.. (2019). Multiple MicroRNAs synergistically promote tolerance to epidermal growth factor receptor-targeted drugs in smoked lung cancer therapies. Journal of Cancer Research and Therapeutics. 15(4). 876–876. 5 indexed citations
14.
Chen, Yongzi, et al.. (2019). Bioinformatics Analysis of Expression and Alterations of BARD1 in Breast Cancer. Technology in Cancer Research & Treatment. 18. 1078159908–1078159908. 5 indexed citations
15.
Liu, Pengpeng, Rui Zhang, Wenwen Yu, et al.. (2017). FGF1 and IGF1-conditioned 3D culture system promoted the amplification and cancer stemness of lung cancer cells. Biomaterials. 149. 63–76. 32 indexed citations
16.
Chen, Yongzi, et al.. (2012). SUMOhydro: A Novel Method for the Prediction of Sumoylation Sites Based on Hydrophobic Properties. PLoS ONE. 7(6). e39195–e39195. 56 indexed citations
17.
Chen, Zhen, et al.. (2011). Prediction of Ubiquitination Sites by Using the Composition of k-Spaced Amino Acid Pairs. PLoS ONE. 6(7). e22930–e22930. 164 indexed citations
18.
Tang, Yu, et al.. (2008). An improved prediction of catalytic residues in enzyme structures. Protein Engineering Design and Selection. 21(5). 295–302. 35 indexed citations
19.
Chen, Yongzi, et al.. (2008). Prediction of mucin-type O-glycosylation sites in mammalian proteins using the composition of k-spaced amino acid pairs. BMC Bioinformatics. 9(1). 101–101. 134 indexed citations
20.
Tang, Yu, Yongzi Chen, Carlos Canchaya, & Ziding Zhang. (2007). GANNPhos: a new phosphorylation site predictor based on a genetic algorithm integrated neural network. Protein Engineering Design and Selection. 20(8). 405–412. 51 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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