Minghua Wang

1.0k total citations
24 papers, 703 citations indexed

About

Minghua Wang is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Minghua Wang has authored 24 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Cell Biology. Recurrent topics in Minghua Wang's work include Cancer-related molecular mechanisms research (7 papers), Epigenetics and DNA Methylation (6 papers) and MicroRNA in disease regulation (6 papers). Minghua Wang is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Epigenetics and DNA Methylation (6 papers) and MicroRNA in disease regulation (6 papers). Minghua Wang collaborates with scholars based in China, United States and Macao. Minghua Wang's co-authors include Jiucun Wang, Jin Li, Yinghui Zhou, Shicheng Guo, Chenji Wang, Weilin Pu, Zhenglei He, Xueqing Zhang, Dong Jiang and Fang Li and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Minghua Wang

22 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghua Wang China 12 491 279 73 66 64 24 703
Cristina Nuevo‐Tapioles Spain 14 452 0.9× 196 0.7× 91 1.2× 50 0.8× 89 1.4× 23 664
Kateřina Rohlenová Czechia 9 383 0.8× 236 0.8× 65 0.9× 45 0.7× 78 1.2× 18 618
Yongjun Fang China 17 479 1.0× 273 1.0× 106 1.5× 46 0.7× 77 1.2× 75 852
Ruben Martherus Belgium 10 496 1.0× 400 1.4× 91 1.2× 50 0.8× 45 0.7× 14 741
Fulvio Santacatterina Spain 13 570 1.2× 205 0.7× 39 0.5× 47 0.7× 97 1.5× 18 762
Xiao Sun China 16 398 0.8× 240 0.9× 145 2.0× 44 0.7× 94 1.5× 40 795

Countries citing papers authored by Minghua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minghua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Minghua Wang. A scholar is included among the top collaborators of Minghua Wang 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 Minghua Wang. Minghua Wang 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.
Mao, Weifeng, Bing Yao, Yanfeng Zhou, et al.. (2025). Abstract 4229: GTA182: A potentially best-in-class, MTA-cooperative PRMT5 inhibitor for MTAP-deleted advanced solid tumors. Cancer Research. 85(8_Supplement_1). 4229–4229. 1 indexed citations
2.
Zhang, Ping, et al.. (2025). Toxic effects of flufenacet on zebrafish at various developmental stages. Environmental Toxicology and Chemistry. 44(7). 1994–2003.
3.
Cui, Xiangdong, et al.. (2023). Exploration and validation of m7G-related genes as signatures in the immune microenvironment and prognostic indicators in low-grade glioma.. PubMed. 15(6). 3882–3899. 1 indexed citations
4.
Bai, Suwen, et al.. (2022). Tumor-Derived Exosomes Modulate Primary Site Tumor Metastasis. Frontiers in Cell and Developmental Biology. 10. 752818–752818. 30 indexed citations
5.
Hu, Fangfang, Yan Ren, Hui Zhou, et al.. (2022). Bioinformatics analysis of KLF2 as a potential prognostic factor in ccRCC and association with epithelial‑mesenchymal transition. Experimental and Therapeutic Medicine. 24(3). 561–561. 4 indexed citations
6.
Jiang, Dong, Zhenglei He, Chenji Wang, et al.. (2018). Epigenetic silencing of ZNF132 mediated by methylation-sensitive Sp1 binding promotes cancer progression in esophageal squamous cell carcinoma. Cell Death and Disease. 10(1). 1–1. 318 indexed citations
7.
Wang, Chenji, Weilin Pu, Yinghui Zhou, et al.. (2018). Identification of Hyper-Methylated Tumor Suppressor Genes-Based Diagnostic Panel for Esophageal Squamous Cell Carcinoma (ESCC) in a Chinese Han Population. Frontiers in Genetics. 9. 356–356. 24 indexed citations
8.
Fan, Lixia, Zhenglei He, Sarah A. Head, et al.. (2018). Clofoctol and sorafenib inhibit prostate cancer growth via synergistic induction of endoplasmic reticulum stress and UPR pathways. Cancer Management and Research. Volume 10. 4817–4829. 11 indexed citations
9.
Pu, Weilin, Chenji Wang, Sidi Chen, et al.. (2017). Targeted bisulfite sequencing identified a panel of DNA methylation-based biomarkers for esophageal squamous cell carcinoma (ESCC). Clinical Epigenetics. 9(1). 129–129. 55 indexed citations
10.
Fan, Lixia, Linqi Chen, Xiaoling Ni, et al.. (2017). Genetic variant of miR-4293 rs12220909 is associated with susceptibility to non-small cell lung cancer in a Chinese Han population. PLoS ONE. 12(4). e0175666–e0175666. 11 indexed citations
11.
Zhang, Ping, Xiaofeng Wang, Shicheng Guo, et al.. (2015). miR-449b rs10061133 and miR-4293 rs12220909 polymorphisms are associated with decreased esophageal squamous cell carcinoma in a Chinese population. Tumor Biology. 36(11). 8789–8795. 29 indexed citations
12.
Chen, Jiejun, Shicheng Guo, Yinghui Zhou, et al.. (2015). Genetic variants in miR-196a2 and miR-499 are associated with susceptibility to esophageal squamous cell carcinoma in Chinese Han population. Tumor Biology. 37(4). 4777–4784. 34 indexed citations
13.
Zhang, Junjie, Xuewen Huang, Juanjuan Xiao, et al.. (2014). Pri-miR-124 rs531564 and pri-miR-34b/c rs4938723 Polymorphisms Are Associated with Decreased Risk of Esophageal Squamous Cell Carcinoma in Chinese Populations. PLoS ONE. 9(6). e100055–e100055. 64 indexed citations
14.
Mao, Xuhua, Yinghui Zhou, Xiaolong Yan, et al.. (2014). RTN4 3'-UTR Insertion/Deletion Polymorphism and Susceptibility to Non-Small Cell Lung Cancer in Chinese Han Population. Asian Pacific Journal of Cancer Prevention. 15(13). 5249–5252. 10 indexed citations
15.
Wang, Minghua, Weiping Wang, Ping Zhang, et al.. (2014). Discrimination of the Expression of Paralogous microRNA Precursors That Share the Same Major Mature Form. PLoS ONE. 9(3). e90591–e90591. 2 indexed citations
16.
Zhang, Junjie, Jingshi Zhou, Ping Zhang, et al.. (2013). A Meta-Analysis of the Association between the hOGG1 Ser326Cys Polymorphism and the Risk of Esophageal Squamous Cell Carcinoma. PLoS ONE. 8(6). e65742–e65742. 10 indexed citations
17.
Yao, Feng, Minghua Wang, Bin Zhou, et al.. (2011). Novel human BTB/POZ domain-containing zinc finger protein ZBTB1 inhibits transcriptional activities of CRE. Molecular and Cellular Biochemistry. 357(1-2). 405–414. 15 indexed citations
18.
Wang, Weiping, Lei Chen, Qingmei Liu, et al.. (2010). Localization and Characterization of Rat Transmembrane Protein 225 Specifically Expressed in Testis. DNA and Cell Biology. 30(1). 9–16. 7 indexed citations
19.
Chen, Lei, Qingmei Liu, Weiping Wang, et al.. (2010). Isolation and characterization of a novel zinc finger gene, ZNFD, activating AP1(PMA) transcriptional activities. Molecular and Cellular Biochemistry. 340(1-2). 63–71. 4 indexed citations
20.
Zheng, Weiwei, Jianyi Yang, Xihua Li, et al.. (2009). Manufacturing and Analysis of Low-loss Ion-exchanged Glass-based Waveguide. Journal of Inorganic Materials. 24(5). 1041–1044.

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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