Mingfeng Shao

488 total citations
23 papers, 404 citations indexed

About

Mingfeng Shao is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Mingfeng Shao has authored 23 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Organic Chemistry. Recurrent topics in Mingfeng Shao's work include Synthesis and biological activity (4 papers), Peptidase Inhibition and Analysis (2 papers) and Autophagy in Disease and Therapy (2 papers). Mingfeng Shao is often cited by papers focused on Synthesis and biological activity (4 papers), Peptidase Inhibition and Analysis (2 papers) and Autophagy in Disease and Therapy (2 papers). Mingfeng Shao collaborates with scholars based in China, United Kingdom and Macao. Mingfeng Shao's co-authors include Lijuan Chen, Linhong He, Wenfang Yang, Zhuang Yang, Jianan Zou, Zhifeng Yu, Heying Pei, Taijin Wang, Hongchun Qu and Liang Ma and has published in prestigious journals such as Scientific Reports, Journal of Colloid and Interface Science and IEEE Access.

In The Last Decade

Mingfeng Shao

23 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingfeng Shao China 13 149 133 65 33 31 23 404
Mohammad Akbarzadeh Iran 11 166 1.1× 55 0.4× 83 1.3× 21 0.6× 15 0.5× 24 465
Jiajie Shi China 15 295 2.0× 28 0.2× 141 2.2× 32 1.0× 64 2.1× 37 567
Yaling Shi China 16 225 1.5× 97 0.7× 56 0.9× 29 0.9× 15 0.5× 30 556
Norio Seki Japan 13 113 0.8× 94 0.7× 66 1.0× 13 0.4× 26 0.8× 35 534
Huanying Zhang China 8 159 1.1× 84 0.6× 54 0.8× 16 0.5× 41 1.3× 18 332
Fangyang Wang China 11 226 1.5× 51 0.4× 71 1.1× 62 1.9× 39 1.3× 24 433
Dongjian Zhang China 14 187 1.3× 153 1.2× 55 0.8× 17 0.5× 26 0.8× 53 518
Panpan Yu China 12 150 1.0× 31 0.2× 89 1.4× 14 0.4× 55 1.8× 24 446
Haijie Ji China 9 118 0.8× 43 0.3× 54 0.8× 17 0.5× 29 0.9× 13 382
Rebekah L. Waikel United States 10 432 2.9× 35 0.3× 134 2.1× 29 0.9× 69 2.2× 22 737

Countries citing papers authored by Mingfeng Shao

Since Specialization
Citations

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

Fields of papers citing papers by Mingfeng Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingfeng Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingfeng Shao. A scholar is included among the top collaborators of Mingfeng Shao 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 Mingfeng Shao. Mingfeng Shao 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.
Wang, Ziye, Wencai Liu, Meiying Zhang, et al.. (2023). A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning. Frontiers in Endocrinology. 13. 1083569–1083569. 12 indexed citations
2.
Mu, Shaomin, et al.. (2021). Causal Research on Soil Temperature and Moisture Content at Different Depths. IEEE Access. 9. 39077–39088. 8 indexed citations
3.
Shao, Mingfeng, Zhifeng Yu, & Jianan Zou. (2020). <p>LncRNA-SNHG16 Silencing Inhibits Prostate Carcinoma Cell Growth, Downregulate GLUT1 Expression and Reduce Glucose Uptake</p>. Cancer Management and Research. Volume 12. 1751–1757. 13 indexed citations
4.
Yu, Zhifeng, Jiuping Xu, Mingfeng Shao, & Jianan Zou. (2020). <p>Germacrone Induces Apoptosis as Well as Protective Autophagy in Human Prostate Cancer Cells</p>. Cancer Management and Research. Volume 12. 4009–4016. 19 indexed citations
5.
Pei, Heying, Linhong He, Mingfeng Shao, et al.. (2018). Discovery of a highly selective JAK3 inhibitor for the treatment of rheumatoid arthritis. Scientific Reports. 8(1). 5273–5273. 33 indexed citations
6.
Shao, Mingfeng, et al.. (2018). Comparative proteomics analysis ofmyocardium inmouse modelof diabetic cardiomyopathy using the iTRAQ technique. Advances in Clinical and Experimental Medicine. 27(11). 1469–1475. 3 indexed citations
7.
He, Linhong, et al.. (2018). Design, synthesis, and SAR study of highly potent, selective, irreversible covalent JAK3 inhibitors. Molecular Diversity. 22(2). 343–358. 14 indexed citations
8.
Shao, Mingfeng, et al.. (2018). MYBL2 protects against H9c2 injury induced by hypoxia via AKT and NF‑κB pathways. Molecular Medicine Reports. 17(3). 4832–4838. 6 indexed citations
9.
10.
Pei, Pei, Yue Lin, Yinchu Ma, et al.. (2017). Encapsulation of cisplatin in a pegylated calcium phosphate nanoparticle (CPNP) for enhanced cytotoxicity to cancerous cells. Journal of Colloid and Interface Science. 493. 181–189. 29 indexed citations
11.
Shao, Mingfeng, Linhong He, Li Zheng, et al.. (2017). Structure-based design, synthesis and in vitro antiproliferative effects studies of novel dual BRD4/HDAC inhibitors. Bioorganic & Medicinal Chemistry Letters. 27(17). 4051–4055. 49 indexed citations
12.
Shao, Mingfeng, et al.. (2017). Protective effects on myocardial infarction model: delivery of schisandrin B using matrix metalloproteinase-sensitive peptide-modified, PEGylated lipid nanoparticles. International Journal of Nanomedicine. Volume 12. 7121–7130. 43 indexed citations
13.
Zhou, Yuanyuan, Wei Yan, Dong Cao, et al.. (2017). Design, synthesis and biological evaluation of 4-anilinoquinoline derivatives as novel potent tubulin depolymerization agents. European Journal of Medicinal Chemistry. 138. 1114–1125. 29 indexed citations
14.
Pei, Heying, Caifeng Xie, Yibin Liu, et al.. (2016). Therapeutic potential of a synthetic FABP4 inhibitor 8g on atherosclerosis in ApoE-deficient mice: the inhibition of lipid accumulation and inflammation. RSC Advances. 6(58). 52518–52527. 1 indexed citations
15.
Ran, Yan, Heying Pei, Caifeng Xie, et al.. (2015). Scaffold-based design of xanthine as highly potent inhibitors of DPP-IV for improving glucose homeostasis in DIO mice. Molecular Diversity. 19(2). 333–346. 5 indexed citations
16.
Wang, Fang, Zhuang Yang, Yibin Liu, et al.. (2015). Synthesis and biological evaluation of diarylthiazole derivatives as antimitotic and antivascular agents with potent antitumor activity. Bioorganic & Medicinal Chemistry. 23(13). 3337–3350. 36 indexed citations
17.
He, Jiqiang, Liang Ma, Zhe Wei, et al.. (2015). Synthesis and biological evaluation of novel pyrazoline derivatives as potent anti-inflammatory agents. Bioorganic & Medicinal Chemistry Letters. 25(11). 2429–2433. 29 indexed citations
18.
19.
Shao, Mingfeng, Yiming Yuan, Kai Lei, et al.. (2014). Discovery and identification of PIM-1 kinase inhibitors through a hybrid screening approach. Molecular Diversity. 18(2). 335–344. 8 indexed citations
20.
Shao, Mingfeng. (1988). A DYNAMIC MODEL OF SOIL MOISTURE AVAILABILITY TO PLANTS IN THE LOESSIAL REGION. 科学通报(英文版). 5 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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