Zonglin Chen

716 total citations
16 papers, 302 citations indexed

About

Zonglin Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zonglin Chen has authored 16 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Zonglin Chen's work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (3 papers) and MicroRNA in disease regulation (2 papers). Zonglin Chen is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (3 papers) and MicroRNA in disease regulation (2 papers). Zonglin Chen collaborates with scholars based in China, United States and Canada. Zonglin Chen's co-authors include Ke Qian, Yibo Hu, Gao Liu, Zhonghua Tang, Xundi Xu, Fang Yu, Zhonghua Tang, Enxiang Zhou, Xia Wu and Xianyu Chen and has published in prestigious journals such as Nature Communications, PLoS ONE and Cell Death and Differentiation.

In The Last Decade

Zonglin Chen

13 papers receiving 301 citations

Peers

Zonglin Chen
Da Huang China
Junyi Yin China
Hong Ren China
Yutaro Otsuka Japan
Arianna Bellazzo Italy
Yueli Shi China
Fubo Ji China
Xian-Zi Yang China
Ilaria Passacantilli Italy
Qinghua Xi China
Da Huang China
Zonglin Chen
Citations per year, relative to Zonglin Chen Zonglin Chen (= 1×) peers Da Huang

Countries citing papers authored by Zonglin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zonglin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zonglin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zonglin Chen. A scholar is included among the top collaborators of Zonglin 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 Zonglin Chen. Zonglin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Gong, Rong, Xiaobao Zhao, Yizhi Li, et al.. (2025). Identification of a Novel Substrate for eEF2K and the AURKA‐SOX8 as the Related Pathway in TNBC. Advanced Science. 12(14). e2412985–e2412985. 3 indexed citations
2.
Jiang, Shilong, Junyan Liu, Chan Zou, et al.. (2025). Serine/Threonine Kinase 33 as a Novel Target of Bufalin in Treatment of Triple‐Negative Breast Cancer. Advanced Science. 12(41). e06253–e06253.
3.
Jiang, Shilong, Hui Li, Wei Xiao, et al.. (2025). Harnessing artificial intelligence to identify Bufalin as a molecular glue degrader of estrogen receptor alpha. Nature Communications. 16(1). 7854–7854. 2 indexed citations
4.
Jiang, Ting, et al.. (2025). Inhibition of UCH-L1 enhances immunotherapy efficacy in triple-negative breast cancer by stabilizing PD-L1. European Journal of Pharmacology. 1000. 177743–177743.
5.
Li, Yi‐Zhi, Zonglin Chen, Dan Mei, et al.. (2025). Applying a multi-task and multi-instance framework to predict axillary lymph node metastases in breast cancer. npj Precision Oncology. 9(1). 195–195.
6.
Gong, Rong, Shilong Jiang, Yidi Guan, et al.. (2025). GPX4-AUTAC induces ferroptosis in breast cancer by promoting the selective autophagic degradation of GPX4 mediated by TRAF6-p62. Cell Death and Differentiation. 32(11). 2022–2037. 7 indexed citations
7.
Tian, Pengfei, et al.. (2025). Investigating the relationship between tongue diagnosis features and gastric cancer: A machine learning-based prediction model. European Journal of Surgical Oncology. 51(10). 110352–110352. 2 indexed citations
8.
Zhu, Rongfeng, Sheng Tian, Xiaobao Zhao, et al.. (2023). Design and Characterization of a Novel eEF2K Degrader with Potent Therapeutic Efficacy Against Triple‐Negative Breast Cancer. Advanced Science. 11(5). e2305035–e2305035. 12 indexed citations
9.
Zhu, Jiaojiao, Shilong Jiang, Zonglin Chen, et al.. (2023). Targeting lncRNA DDIT4‐AS1 Sensitizes Triple Negative Breast Cancer to Chemotherapy via Suppressing of Autophagy. Advanced Science. 10(17). e2207257–e2207257. 48 indexed citations
10.
11.
12.
Han, Tong, et al.. (2021). The prognostic value of circular RNA regulatory genes in competitive endogenous RNA network in gastric cancer. Cancer Gene Therapy. 28(10-11). 1175–1187. 7 indexed citations
13.
Fu, Fenfen, Tao Zhang, Qiongyan Zou, et al.. (2016). Expression of receptor protein tyrosine phosphatase ζ is a risk factor for triple negative breast cancer relapse. Biomedical Reports. 4(2). 167–172. 14 indexed citations
14.
Qian, Ke, Gao Liu, Zhonghua Tang, et al.. (2016). The long non-coding RNA NEAT1 interacted with miR-101 modulates breast cancer growth by targeting EZH2. Archives of Biochemistry and Biophysics. 615. 1–9. 98 indexed citations
15.
Chen, Zonglin, Xianyu Chen, Enxiang Zhou, et al.. (2014). Intratumoral CD8+ Cytotoxic Lymphocyte Is a Favorable Prognostic Marker in Node-Negative Breast Cancer. PLoS ONE. 9(4). e95475–e95475. 53 indexed citations
16.
Chen, Zonglin, Aslihan Gerhold‐Ay, Susanne Gebhard, et al.. (2012). Immunoglobulin Kappa C Predicts Overall Survival in Node-Negative Breast Cancer. PLoS ONE. 7(9). e44741–e44741. 30 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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