Mingyao Wu

1.0k total citations
41 papers, 849 citations indexed

About

Mingyao Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mingyao Wu has authored 41 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Mingyao Wu's work include Retinoids in leukemia and cellular processes (5 papers), Cancer-related gene regulation (4 papers) and Bone Tissue Engineering Materials (4 papers). Mingyao Wu is often cited by papers focused on Retinoids in leukemia and cellular processes (5 papers), Cancer-related gene regulation (4 papers) and Bone Tissue Engineering Materials (4 papers). Mingyao Wu collaborates with scholars based in China, Taiwan and Canada. Mingyao Wu's co-authors include Xiaoping Yang, Qing Cai, Xu Zhang, Yingchun Sun, Xuliang Deng, Hongye Cheng, Zhiwen Qi, Zhanguang Chen, Guoliang Liu and Ping Gao and has published in prestigious journals such as Journal of Clinical Oncology, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Mingyao Wu

38 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyao Wu China 17 281 172 117 112 110 41 849
Soongu Kwak South Korea 17 268 1.0× 120 0.7× 145 1.2× 73 0.7× 76 0.7× 40 1.2k
Yulin Yuan China 13 192 0.7× 264 1.5× 71 0.6× 145 1.3× 104 0.9× 33 692
Sang‐Hun Shin South Korea 23 482 1.7× 177 1.0× 244 2.1× 158 1.4× 74 0.7× 77 1.4k
Jiajie Xu China 16 201 0.7× 154 0.9× 67 0.6× 215 1.9× 102 0.9× 49 782
Masanori Sasaki Japan 21 211 0.8× 122 0.7× 143 1.2× 130 1.2× 35 0.3× 59 1.0k
Daniel A. Yohay United States 7 442 1.6× 317 1.8× 163 1.4× 178 1.6× 116 1.1× 10 1.2k
Anting Jin China 10 270 1.0× 235 1.4× 94 0.8× 59 0.5× 128 1.2× 22 669
Xifu Shang China 20 385 1.4× 207 1.2× 85 0.7× 296 2.6× 120 1.1× 71 1.1k

Countries citing papers authored by Mingyao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mingyao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyao Wu. A scholar is included among the top collaborators of Mingyao Wu 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 Mingyao Wu. Mingyao Wu 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.
Xue, Yan, Mingyao Wu, Jinhua Song, et al.. (2019). In vitro and in vivo evaluation of chitosan scaffolds combined with simvastatin-loaded nanoparticles for guided bone regeneration. Journal of Materials Science Materials in Medicine. 30(4). 47–47. 27 indexed citations
2.
Guan, Binbin, Haorong Wang, Guoying Zheng, et al.. (2016). Establishing Antibacterial Multilayer Films on the Surface of Direct Metal Laser Sintered Titanium Primed with Phase-Transited Lysozyme. Scientific Reports. 6(1). 36408–36408. 31 indexed citations
3.
Ma, Shiqing, Zihao Liu, Meng Li, et al.. (2016). Asymmetric Collagen/chitosan Membrane Containing Minocycline-loaded Chitosan Nanoparticles for Guided Bone Regeneration. Scientific Reports. 6(1). 31822–31822. 78 indexed citations
4.
Hong, Chao‐Qun, et al.. (2014). Clinical importance and therapeutic implication of E-cadherin gene methylation in human ovarian cancer. Medical Oncology. 31(8). 100–100. 11 indexed citations
5.
Ma, Shiqing, Feng Qiao, Yingchun Sun, et al.. (2014). Guided bone regeneration with tripolyphosphate cross-linked asymmetric chitosan membrane. Journal of Dentistry. 42(12). 1603–1612. 60 indexed citations
6.
Zhang, Xu, Yanqiu Li, Anil Kishen, et al.. (2014). Biomimetic remineralization of demineralized enamel with nano-complexes of phosphorylated chitosan and amorphous calcium phosphate. Journal of Materials Science Materials in Medicine. 25(12). 2619–2628. 73 indexed citations
7.
Wei, Xiaolong, et al.. (2014). A case of primary neuroendocrine breast carcinoma that responded to neo-adjuvant chemotherapy. Frontiers of Medicine. 9(1). 112–116. 16 indexed citations
8.
Shao, Ying, Qinqin Xu, Chun Li, Mingyao Wu, & Xiaoyan Huang. (2012). Effect of thrombin receptor expression on microvessel endothelial cells, and survival by coagulation state in oesophageal squamous cell carcinoma. Journal of Clinical Pathology. 65(8). 740–745.
9.
Zheng, Nan, et al.. (2011). Ten years' experience with needle biopsy in the early diagnosis of sacroiliitis. Arthritis & Rheumatism. 64(5). 1399–1406. 81 indexed citations
10.
Chen, Zhanguang, et al.. (2010). An Instrument-Based Screening Assay for DNA-Targeted Anticancer Drugs Using Resonance Light Scattering. Combinatorial Chemistry & High Throughput Screening. 13(5). 383–392. 2 indexed citations
11.
12.
Chen, Zhanguang, et al.. (2008). Determination of nanograms of proteins based on decreased resonance light scattering of zwitterionic gemini surfactant. Analytical Biochemistry. 384(2). 337–342. 51 indexed citations
13.
Du, Caiwen, et al.. (2004). Arsenic Trioxide Induced Differentiation and Apoptosis in Human Nasopharyngeal Carcinoma Xenografts in BALB/C Nude Mice. The Chinese-German Journal of Clinical Oncology. 3(3). 151–155. 1 indexed citations
14.
Wu, Mingyao. (2004). Expression of Egr-1, c-fos and cyclin D1 in esophageal cancer and its precursors: An immunohistochemical andin situhybridization study. World Journal of Gastroenterology. 10(4). 476–476. 32 indexed citations
15.
Su, Changqing, Jonathan S. T. Sham, Zhihao Cui, et al.. (2004). Potent antitumoral efficacy of a novel replicative adenovirus CNHK300 targeting telomerase-positive cancer cells. Journal of Cancer Research and Clinical Oncology. 130(10). 591–603. 29 indexed citations
16.
Li, Chun, et al.. (2003). Correlation between expression of human telomerase subunits and telomerase activity in esophageal squamous cell carcinoma. World Journal of Gastroenterology. 9(11). 2395–2395. 24 indexed citations
17.
Liu, Yanfang, et al.. (2002). Transcription factor EGR-1 inhibits growth of hepatocellular carcinoma and esophageal carcinoma cell lines. World Journal of Gastroenterology. 8(2). 203–203. 46 indexed citations
18.
Wu, Mingyao. (2002). Relationship between Egr-1 gene expression and apoptosis in esophageal carcinoma and precancerous lesions. World Journal of Gastroenterology. 8(6). 971–971. 19 indexed citations
19.
Wu, Mingyao. (2001). Experimental and clinic-opathologic study on the relationship between transcription factor Egr-1 and esophageal carcinoma. World Journal of Gastroenterology. 7(4). 490–490. 16 indexed citations
20.
Wu, Mingyao, et al.. (1992). Morphometric study on AgNORs of esophageal squamous cell carcinoma and paraneoplastic epithelial cells. Image Analysis & Stereology. 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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