Zhengjun Chen

4.3k total citations · 1 hit paper
86 papers, 3.4k citations indexed

About

Zhengjun Chen is a scholar working on Molecular Biology, Cell Biology and Ecology. According to data from OpenAlex, Zhengjun Chen has authored 86 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 18 papers in Cell Biology and 11 papers in Ecology. Recurrent topics in Zhengjun Chen's work include Hippo pathway signaling and YAP/TAZ (10 papers), Wnt/β-catenin signaling in development and cancer (8 papers) and Bacteriophages and microbial interactions (7 papers). Zhengjun Chen is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (10 papers), Wnt/β-catenin signaling in development and cancer (8 papers) and Bacteriophages and microbial interactions (7 papers). Zhengjun Chen collaborates with scholars based in China, United States and Germany. Zhengjun Chen's co-authors include Axel Ullrich, Alexei Kharitonenkov, Hongyang Wang, I Sures, Dan Du, Charles Cant, Martina Seiffert, Irène Rappold, Eric J. Brown and Lothar Kanz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Zhengjun Chen

81 papers receiving 3.3k citations

Hit Papers

A family of proteins that inhibit signalling through tyro... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengjun Chen China 29 2.0k 995 394 381 358 86 3.4k
Bin Xue China 31 2.0k 1.0× 527 0.5× 452 1.1× 395 1.0× 353 1.0× 104 3.1k
William F. Matter United States 14 3.1k 1.6× 749 0.8× 542 1.4× 689 1.8× 432 1.2× 19 4.5k
Anne‐Odile Hueber France 31 2.5k 1.2× 1.1k 1.1× 484 1.2× 745 2.0× 441 1.2× 68 3.5k
Sreenivasan Ponnambalam United Kingdom 42 2.6k 1.3× 1.0k 1.0× 1.0k 2.6× 425 1.1× 365 1.0× 126 4.4k
Yvona Ward United States 27 2.6k 1.3× 726 0.7× 524 1.3× 802 2.1× 397 1.1× 39 3.6k
Marc Mousli France 34 2.8k 1.4× 968 1.0× 210 0.5× 373 1.0× 192 0.5× 90 4.2k
Margaret Favata United States 19 2.6k 1.3× 1.2k 1.2× 346 0.9× 819 2.1× 471 1.3× 28 4.7k
Stuart Kellie United Kingdom 34 1.8k 0.9× 979 1.0× 619 1.6× 303 0.8× 290 0.8× 82 3.8k
Koichi Honke Japan 42 3.7k 1.8× 1.2k 1.2× 925 2.3× 345 0.9× 301 0.8× 134 5.2k
Christoph Reinhard United States 20 3.6k 1.8× 728 0.7× 834 2.1× 709 1.9× 564 1.6× 35 4.7k

Countries citing papers authored by Zhengjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhengjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengjun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengjun Chen. A scholar is included among the top collaborators of Zhengjun 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 Zhengjun Chen. Zhengjun 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.
Mei, Jie, Hao Zhang, Cong Liang, et al.. (2025). Macrophages form dendrite-like pseudopods to enhance bacterial ingestion. The EMBO Journal. 44(17). 4772–4802.
2.
Xie, Zhiqiang, Yunming Zhang, Xiaohong Chen, et al.. (2025). Neutrophil Granule-Mimetic Emulsion Inducing Gastrointestinal Immunity against Helicobacter pylori via Subcutaneous Vaccination. ACS Nano. 19(45). 39043–39061.
3.
Wu, Yumei, Zhengjun Chen, Yuan Shen, et al.. (2025). Water-soluble thiazolo[5,4-d]thiazole-based AIEgens for universal and Level 3 resolved latent fingerprint visualization. Chinese Chemical Letters. 111889–111889.
4.
Chen, Zhengjun, Jie Yang, Xuxia Liu, et al.. (2024). Review of biological activities: A plant of traditional Chinese tonic. Journal of Ethnopharmacology. 332. 118334–118334. 16 indexed citations
6.
Li, Na, Xiaochen Lu, Midie Xu, et al.. (2023). Enhanced BCAT1 activity and BCAA metabolism promotes RhoC activity in cancer progression. Nature Metabolism. 5(7). 1159–1173. 50 indexed citations
7.
Liu, Xuxia, et al.. (2023). Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics. Molecules. 28(13). 5127–5127. 10 indexed citations
8.
Luo, Pan, Yuan Gao, Zhengjun Chen, et al.. (2022). Central administration of human opiorphin alleviates dextran sodium sulfate-induced colitis in mice through activation of the endogenous opioid system. Frontiers in Pharmacology. 13. 904926–904926. 9 indexed citations
9.
Li, Chenglong, Xiaohong Chen, Hairui Wang, et al.. (2021). Nanoemulsions Target to Ectopic Lymphoids in Inflamed Joints to Restore Immune Tolerance in Rheumatoid Arthritis. Nano Letters. 21(6). 2551–2561. 50 indexed citations
10.
Tang, Yuqing, et al.. (2021). Multi-omics study on biomarker and pathway discovery of chronic obstructive pulmonary disease. Journal of Breath Research. 15(4). 44001–44001. 14 indexed citations
11.
Li, Jintao, Miao Yin, Di Wang, et al.. (2020). BCAT2-mediated BCAA catabolism is critical for development of pancreatic ductal adenocarcinoma. Nature Cell Biology. 22(2). 167–174. 174 indexed citations
12.
Zheng, Chao, Yuetong Wang, Yang Liu, et al.. (2017). Cell Division Cycle 42 plays a Cell type-Specific role in Lung Tumorigenesis. Scientific Reports. 7(1). 10407–10407. 9 indexed citations
13.
Lin, Jinzhong, et al.. (2016). Efficient Isolation and Functional Analysis of SpontaneousStreptococcus thermophilus Bacteriophage-Insensitive Mutants. 5(1). 51–57. 2 indexed citations
14.
Zhang, Peng, Shuting Wang, Sai Wang, et al.. (2016). Dual function of partitioning-defective 3 in the regulation of YAP phosphorylation and activation. Cell Discovery. 2(1). 16021–16021. 23 indexed citations
15.
Ji, Peng, Guang Yang, Jiahai Zhang, et al.. (2010). Solution structure of the second PDZ domain of Zonula Occludens 1. Proteins Structure Function and Bioinformatics. 79(4). 1342–1346. 2 indexed citations
16.
Lü, Xuefeng, Xiujing Feng, Xiaobo Man, et al.. (2009). Aberrant Splicing of Hugl-1 Is Associated with Hepatocellular Carcinoma Progression. Clinical Cancer Research. 15(10). 3287–3296. 41 indexed citations
17.
Zhou, Wenchao, et al.. (2009). FGF-receptor substrate 2 functions as a molecular sensor integrating external regulatory signals into the FGF pathway. Cell Research. 19(10). 1165–1177. 22 indexed citations
18.
Fang, Longhou, Yiguo Wang, Dan Du, et al.. (2007). Cell polarity protein Par3 complexes with DNA-PK via Ku70 and regulates DNA double-strand break repair. Cell Research. 17(2). 100–116. 42 indexed citations
19.
Chen, Zhengjun. (2006). TRANSITION METAL CATALYSTS FOR OLEFIN POLYMERIZATION. Gaofenzi cailiao kexue yu gongcheng.
20.
Fuchs, Miriam, Hongyang Wang, Thomas Ciossek, Zhengjun Chen, & Axel Ullrich. (1998). Differential expression of MAM-subfamily protein tyrosine phosphatases during mouse development. Mechanisms of Development. 70(1-2). 91–109. 33 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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