Miao Wang

16.7k total citations · 1 hit paper
407 papers, 10.6k citations indexed

About

Miao Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Miao Wang has authored 407 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 67 papers in Cardiology and Cardiovascular Medicine and 66 papers in Cancer Research. Recurrent topics in Miao Wang's work include Cancer-related molecular mechanisms research (27 papers), MicroRNA in disease regulation (24 papers) and Inflammatory mediators and NSAID effects (21 papers). Miao Wang is often cited by papers focused on Cancer-related molecular mechanisms research (27 papers), MicroRNA in disease regulation (24 papers) and Inflammatory mediators and NSAID effects (21 papers). Miao Wang collaborates with scholars based in China, United States and Sweden. Miao Wang's co-authors include Garret A. FitzGerald, Xianlin Han, Ying Yu, Tilo Großer, Emer M. Smyth, Ellen Puré, John A. Lawson, Alex Y. Chang, Zhixing Cao and Rowland H. Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Miao Wang

389 papers receiving 10.4k citations

Hit Papers

Myricetin: A review of the most recent research 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miao Wang China 53 4.2k 1.4k 1.2k 1.1k 1.1k 407 10.6k
Tian Li China 55 4.7k 1.1× 1.6k 1.1× 1.1k 0.9× 845 0.7× 829 0.8× 480 10.8k
Xiaoyan Zhang China 57 5.6k 1.3× 991 0.7× 1.2k 1.0× 1.2k 1.0× 1.3k 1.2× 534 14.6k
Hyung Sik Kim South Korea 59 3.8k 0.9× 1.3k 0.9× 663 0.6× 686 0.6× 819 0.8× 450 12.8k
Stephen L. Atkin United Kingdom 65 4.1k 1.0× 1.0k 0.7× 1.5k 1.3× 883 0.8× 2.5k 2.3× 516 15.9k
Shing‐Hwa Liu Taiwan 57 4.1k 1.0× 986 0.7× 1.3k 1.1× 648 0.6× 1.5k 1.4× 404 11.9k
Mehdi Shakibaei Germany 72 5.3k 1.2× 1.7k 1.2× 1.6k 1.3× 2.0k 1.8× 1.8k 1.6× 260 14.7k
Xiaoyan Liu China 53 7.3k 1.7× 1.8k 1.3× 1.6k 1.4× 601 0.5× 1.1k 1.0× 691 14.3k
Qing Li China 61 7.4k 1.8× 1.1k 0.8× 1.3k 1.1× 1.4k 1.2× 861 0.8× 928 17.4k
Ping Li China 53 6.0k 1.4× 1.5k 1.1× 1.2k 1.0× 598 0.5× 1.1k 1.0× 626 13.5k
Fuu‐Jen Tsai Taiwan 55 5.8k 1.4× 1.2k 0.8× 1.4k 1.2× 541 0.5× 1.2k 1.1× 520 13.9k

Countries citing papers authored by Miao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Miao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Wang. A scholar is included among the top collaborators of Miao 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 Miao Wang. Miao 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.
Lan, Qing-Hua, Miao Wang, Yanyan Zhu, et al.. (2025). Bioinspired pH-sensitive liposomes for quercetin delivery to synergize with 5- FU in gastric cancer therapy. International Journal of Pharmaceutics X. 10. 100437–100437.
2.
Jiang, Minghui, Yanfang Guan, Chen Duan, et al.. (2025). Trans-ancestry GWAS identifies 59 loci and improves risk prediction and fine-mapping for kidney stone disease. Nature Communications. 16(1). 3473–3473. 1 indexed citations
3.
Liu, Aimei, et al.. (2024). Apigenin inhibits proliferation and differentiation of cardiac fibroblasts through AKT/GSK3β signaling pathway. Journal of Ethnopharmacology. 334. 118518–118518. 6 indexed citations
5.
Wang, Miao, Ling Hong, Ziyi Zhang, et al.. (2024). Novel LDLR variants affecting low density lipoprotein metabolism identified in familial hypercholesterolemia. Molecular Biology Reports. 51(1). 153–153. 1 indexed citations
6.
Li, Si, et al.. (2024). Blood Calcium, Genetic Risk, and Risk of Incident Kidney Stone: A Population-Based Cohort Study. Mayo Clinic Proceedings. 99(8). 1248–1260. 2 indexed citations
7.
Chen, Xu, Wenbo He, Weiling Yin, et al.. (2024). Bioactive Metal Ion-Coordinated Dynamic Hydrogel with Antibacterial, Immunomodulatory, and Angiogenic Activities for Infected Wound Repair. ACS Applied Materials & Interfaces. 16(25). 32104–32117. 22 indexed citations
9.
Zhang, Yanli, Huiting Zhu, Shiyu Du, et al.. (2023). Medium-chain and long-chain fatty acids are associated with diarrheal predominant irritable bowel syndrome revealed by DESI-MSI. Journal of Gastroenterology. 58(11). 1124–1133. 6 indexed citations
10.
Liu, Zhiguo, Liping Gao, Miao Wang, Min Yuan, & Zhenjun Li. (2023). Long ignored but making a comeback: a worldwide epidemiological evolution of human brucellosis. Emerging Microbes & Infections. 13(1). 2290839–2290839. 45 indexed citations
11.
Wang, Xiangkun, Miao Wang, Zhongyuan Liu, et al.. (2023). Identification and validation of candidate clinical signatures of apolipoprotein L isoforms in hepatocellular carcinoma. Scientific Reports. 13(1). 20969–20969. 3 indexed citations
12.
He, Xigan, Jiamin Zhou, Anrong Mao, et al.. (2022). LncRNA‐EWSAT1 promotes hepatocellular carcinoma metastasis via activation of the Src‐YAP signaling axis. The FASEB Journal. 36(12). e22663–e22663. 9 indexed citations
13.
Liu, Huiyun, et al.. (2021). GLS1 depletion inhibited colorectal cancer proliferation and migration via redox/Nrf2/autophagy-dependent pathway. Archives of Biochemistry and Biophysics. 708. 108964–108964. 36 indexed citations
14.
Pang, Cheng, Miao Wang, Huimin Hou, et al.. (2021). Cognitive magnetic resonance imaging-ultrasound fusion transperineal targeted biopsy combined with randomized biopsy in detection of prostate cancer. World Journal of Clinical Cases. 9(36). 11183–11192. 3 indexed citations
15.
Shang, Xin, et al.. (2020). Identification of potential crucial genes associated with the pathogenesis and prognosis of liver hepatocellular carcinoma. Journal of Clinical Pathology. 74(8). 504–512. 19 indexed citations
16.
Cheng, Fang, Yanxi Zhou, Miao Wang, et al.. (2020). A review of pharmacological and pharmacokinetic properties of stachydrine. Pharmacological Research. 155. 104755–104755. 88 indexed citations
17.
Guo, Xinfeng, Dongyu Gu, Miao Wang, et al.. (2017). Characterization of active compounds from Gracilaria lemaneiformis inhibiting the protein tyrosine phosphatase 1B activity. Food & Function. 8(9). 3271–3275. 28 indexed citations
18.
Huang, Yalan, Dana Huang, Yijie Geng, et al.. (2017). An Integrated Control Strategy Takes Clonorchis sinensis Under Control in an Endemic Area in South China. Vector-Borne and Zoonotic Diseases. 17(12). 791–798. 11 indexed citations
19.
Wang, Miao, Mary Topalovski, Jason E. Toombs, et al.. (2015). Fibulin-5 Blocks Microenvironmental ROS in Pancreatic Cancer. Cancer Research. 75(23). 5058–5069. 36 indexed citations
20.
Kirane, Amanda, Kathleen Ludwig, Noah Sorrelle, et al.. (2015). Warfarin Blocks Gas6-Mediated Axl Activation Required for Pancreatic Cancer Epithelial Plasticity and Metastasis. Cancer Research. 75(18). 3699–3705. 108 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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