Minghui Zeng

622 total citations
19 papers, 488 citations indexed

About

Minghui Zeng is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Minghui Zeng has authored 19 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Minghui Zeng's work include Ubiquitin and proteasome pathways (5 papers), NF-κB Signaling Pathways (4 papers) and Muscle Physiology and Disorders (3 papers). Minghui Zeng is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), NF-κB Signaling Pathways (4 papers) and Muscle Physiology and Disorders (3 papers). Minghui Zeng collaborates with scholars based in China, United States and Sweden. Minghui Zeng's co-authors include K. Venuprasad, Ramin Massoumi, Mahesh Kathania, Wei‐Zen Wei, Neesar Ahmed, Richard A. Flavell, Indrajit Sinha, Lisa Polin, Chozhavendan Rathinam and Hideki Ueno and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and Brain.

In The Last Decade

Minghui Zeng

15 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghui Zeng China 10 282 215 128 90 47 19 488
Himavanth R. Gatla United States 11 362 1.3× 112 0.5× 144 1.1× 221 2.5× 17 0.4× 16 528
Moeez Rathore United States 12 326 1.2× 188 0.9× 209 1.6× 131 1.5× 15 0.3× 20 534
Christina Bruß Germany 9 244 0.9× 109 0.5× 196 1.5× 91 1.0× 15 0.3× 19 406
Glen Lindwall United States 9 151 0.5× 163 0.8× 35 0.3× 136 1.5× 23 0.5× 9 370
Jodie M. Borrow Australia 7 493 1.7× 101 0.5× 78 0.6× 119 1.3× 19 0.4× 8 546
M Kaufmann Germany 10 240 0.9× 74 0.3× 63 0.5× 142 1.6× 73 1.6× 16 406
Casey W. Wright United States 15 338 1.2× 130 0.6× 123 1.0× 93 1.0× 20 0.4× 18 488
Monique Moutet France 13 296 1.0× 338 1.6× 42 0.3× 182 2.0× 32 0.7× 13 637
Xiansi Zhao United States 8 344 1.2× 50 0.2× 117 0.9× 77 0.9× 67 1.4× 10 440
Zhongjia Tan United States 8 354 1.3× 288 1.3× 28 0.2× 205 2.3× 118 2.5× 9 672

Countries citing papers authored by Minghui Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Zeng

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

All Works

19 of 19 papers shown
2.
Xu, Xiang, Xin Lin, Long Chen, et al.. (2025). Association of Diaphragm Involvement Assessed by Ultrasound With Disease Severity in Facioscapulohumeral Muscular Dystrophy. Journal of Cachexia Sarcopenia and Muscle. 16(5). e70057–e70057. 1 indexed citations
3.
Yang, Lei, Ping Chen, Baoxiong Zhuang, et al.. (2025). Preoperative plasma ceramide profiling coupled with machine learning accurately predicts recurrence of hepatocellular carcinoma after resection. Lipids in Health and Disease. 24(1). 355–355.
4.
Lin, Ya‐Wen, Ying Zheng, Minghui Zeng, et al.. (2024). Age at onset mediates genetic impact on disease severity in facioscapulohumeral muscular dystrophy. Brain. 148(2). 613–625. 3 indexed citations
5.
Huang, Can, Qingping Li, Biao Wang, et al.. (2024). Accumulation of polyunsaturated lipids fuels ferroptosis to promote liver failure after extended hepatectomy in mice. Free Radical Research. 58(11). 733–747.
6.
Wang, Di, Xinyi Liu, Long Chen, et al.. (2024). Comprehensive Proteomic Analysis of Dysferlinopathy Unveiling Molecular Mechanisms and Biomarkers Linked to Pathological Progression. CNS Neuroscience & Therapeutics. 30(10). e70065–e70065.
7.
Yu, Meng, Minghui Zeng, Zhaoping Pan, et al.. (2020). Discovery of novel akt1 inhibitor induces autophagy associated death in hepatocellular carcinoma cells. European Journal of Medicinal Chemistry. 189. 112076–112076. 28 indexed citations
8.
Wang, Lian, Ruifeng Lu, Yujia Wang, et al.. (2020). Identification of Long Noncoding RNA Associated ceRNA Networks in Rosacea. BioMed Research International. 2020(1). 9705950–9705950. 8 indexed citations
9.
Jiang, Hua, et al.. (2018). MicroRNA-93 promotes bladder cancer proliferation and invasion by targeting PEDF. Urologic Oncology Seminars and Original Investigations. 37(2). 150–157. 21 indexed citations
10.
Zeng, Minghui, et al.. (2018). Metformin prevents proliferation of prostate cancer by regulating IGF1R/PI3K/Akt signalling in a mouse model. Biomedical Research - India. 1 indexed citations
11.
Kathania, Mahesh, et al.. (2017). IL-17-driven intestinal fibrosis is inhibited by Itch-mediated ubiquitination of HIC-5. Mucosal Immunology. 11(2). 427–436. 23 indexed citations
12.
Kathania, Mahesh, Prashant Khare, Minghui Zeng, et al.. (2016). Itch inhibits IL-17-mediated colon inflammation and tumorigenesis by ROR-γt ubiquitination. Nature Immunology. 17(8). 997–1004. 100 indexed citations
13.
Theivanthiran, Balamayooran, Mahesh Kathania, Minghui Zeng, et al.. (2015). The E3 ubiquitin ligase Itch inhibits p38α signaling and skin inflammation through the ubiquitylation of Tab1. Science Signaling. 8(365). ra22–ra22. 44 indexed citations
14.
Venuprasad, K., et al.. (2015). Multifaceted role of the ubiquitin ligase Itch in immune regulation. Immunology and Cell Biology. 93(5). 452–460. 24 indexed citations
15.
Kathania, Mahesh, Minghui Zeng, Viveka Nand Yadav, et al.. (2015). Ndfip1 Regulates Itch Ligase Activity and Airway Inflammation via UbcH7. The Journal of Immunology. 194(5). 2160–2167. 12 indexed citations
16.
Ahmed, Neesar, Minghui Zeng, Indrajit Sinha, et al.. (2011). The E3 ligase Itch and deubiquitinase Cyld act together to regulate Tak1 and inflammation. Nature Immunology. 12(12). 1176–1183. 140 indexed citations
17.
Zeng, Minghui, Ryuta Muromoto, Tadashi Matsuda, et al.. (2011). Noncanonical K27-Linked Polyubiquitination of TIEG1 Regulates Foxp3 Expression and Tumor Growth. The Journal of Immunology. 186(10). 5638–5647. 34 indexed citations
18.
Wang, Qiyu, Minghui Zeng, Wei Wang, & Jie Tang. (2007). The HMGB1 acidic tail regulates HMGB1 DNA binding specificity by a unique mechanism. Biochemical and Biophysical Research Communications. 360(1). 14–19. 47 indexed citations
19.
Fan, Jian‐Gao, et al.. (2000). [Effects of pravastatin on hepatic plasminogen activator inhibitor 1 mRNA expression in rabbits with fatty liver].. PubMed. 8(2). 70–2. 2 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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