Meiqun Cao

1.3k total citations · 1 hit paper
23 papers, 900 citations indexed

About

Meiqun Cao is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Meiqun Cao has authored 23 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Pharmacology and 6 papers in Physiology. Recurrent topics in Meiqun Cao's work include Alzheimer's disease research and treatments (3 papers), Salivary Gland Disorders and Functions (3 papers) and Tryptophan and brain disorders (3 papers). Meiqun Cao is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Salivary Gland Disorders and Functions (3 papers) and Tryptophan and brain disorders (3 papers). Meiqun Cao collaborates with scholars based in China, Hong Kong and Lebanon. Meiqun Cao's co-authors include Dahua Fan, Yongkai Cao, Yajun Wang, Yongliang Cao, Tao Gong, Zhengzhi Wu, Min Ma, Jin Yu, Qiang Zeng and Liping Liu and has published in prestigious journals such as Frontiers in Immunology, Frontiers in Microbiology and International Journal of Biological Macromolecules.

In The Last Decade

Meiqun Cao

21 papers receiving 891 citations

Hit Papers

Nanomedicine in cancer therapy 2023 2026 2024 2025 2023 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nanomedicine in cancer therapy
    2023 447 citations Dahua Fan, Yongkai Cao et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiqun Cao China 13 332 268 198 119 115 23 900
Lan Yang China 23 595 1.8× 201 0.8× 182 0.9× 134 1.1× 216 1.9× 55 1.2k
Xinhua Xia China 19 529 1.6× 183 0.7× 116 0.6× 89 0.7× 74 0.6× 62 1.1k
Xueping Lei China 20 468 1.4× 198 0.7× 104 0.5× 88 0.7× 142 1.2× 43 998
Ruoqiu Fu China 15 498 1.5× 182 0.7× 270 1.4× 49 0.4× 142 1.2× 26 1.2k
Hossein Javid Iran 22 553 1.7× 240 0.9× 157 0.8× 114 1.0× 271 2.4× 64 1.2k
Prasanthi Karna United States 16 629 1.9× 132 0.5× 143 0.7× 138 1.2× 214 1.9× 21 1.2k
Zeting Yuan China 18 411 1.2× 275 1.0× 238 1.2× 135 1.1× 200 1.7× 31 1.0k
Xiaohui Jia China 18 413 1.2× 226 0.8× 108 0.5× 97 0.8× 425 3.7× 53 1.3k

Countries citing papers authored by Meiqun Cao

Since Specialization
Citations

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

Fields of papers citing papers by Meiqun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiqun Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Meiqun Cao. A scholar is included among the top collaborators of Meiqun Cao 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 Meiqun Cao. Meiqun Cao 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.
Cao, Yongliang, Yifei Xu, Meiqun Cao, et al.. (2025). Fluid-based biomarkers for neurodegenerative diseases. Ageing Research Reviews. 108. 102739–102739. 9 indexed citations
2.
Chen, Xinyu, Jun Wu, Dahua Fan, et al.. (2025). Gut viral metagenomics identifies viral signatures and their role in depression. Frontiers in Microbiology. 16. 1573851–1573851. 1 indexed citations
3.
4.
Fan, Dahua, Yongkai Cao, Meiqun Cao, et al.. (2023). Nanomedicine in cancer therapy. Signal Transduction and Targeted Therapy. 8(1). 293–293. 447 indexed citations breakdown →
5.
Zhu, Xiao, Qiong Liu, Meiqun Cao, & Zhitao Feng. (2022). Reporting Quality and Risk of Bias Assessment of Animal Research on Chaihu-Shugan-San for Depression: A Systematic Review. SSRN Electronic Journal.
6.
Cao, Yongkai, Meifen Li, Dahua Fan, et al.. (2021). Licochalcone E improves insulin sensitivity in palmitic acid-treated HepG2 cells through inhibition of the NLRP3 signaling pathway. International Immunopharmacology. 99. 107923–107923. 6 indexed citations
7.
Cheng, Tao, et al.. (2020). Total synthesis of tubulysin U and N14-desacetoxytubulysin H. Organic & Biomolecular Chemistry. 18(28). 5349–5353. 7 indexed citations
8.
Yang, Tong, et al.. (2020). The Immunoregulatory Role of Myeloid-Derived Suppressor Cells in the Pathogenesis of Rheumatoid Arthritis. Frontiers in Immunology. 11. 568362–568362. 35 indexed citations
9.
Li, Yan, Chunyi Wang, Haibo Chen, et al.. (2020). Huang-Qi San improves glucose and lipid metabolism and exerts protective effects against hepatic steatosis in high fat diet-fed rats. Biomedicine & Pharmacotherapy. 126. 109734–109734. 33 indexed citations
10.
11.
Zhu, Xiao, Xiaolan Shen, Xiaoqiang Hou, et al.. (2020). Total glucosides of paeony for the treatment of rheumatoid arthritis: A methodological and reporting quality evaluation of systematic reviews and meta-analyses. International Immunopharmacology. 88. 106920–106920. 12 indexed citations
12.
Zeng, Qiang, Longfei Li, Wing Sum Siu, et al.. (2019). A combined molecular biology and network pharmacology approach to investigate the multi-target mechanisms of Chaihu Shugan San on Alzheimer’s disease. Biomedicine & Pharmacotherapy. 120. 109370–109370. 73 indexed citations
13.
Zeng, Qiang, Longfei Li, Jin Yu, et al.. (2019). A Network Pharmacology Approach to Reveal the Underlying Mechanisms of Paeonia lactiflora Pall. On the Treatment of Alzheimer’s Disease. Evidence-based Complementary and Alternative Medicine. 2019. 1–12. 29 indexed citations
14.
Zeng, Qiang, Wing Sum Siu, Limin Li, et al.. (2019). Autophagy in Alzheimer's disease and promising modulatory effects of herbal medicine. Experimental Gerontology. 119. 100–110. 49 indexed citations
15.
Zhou, Wenbin, et al.. (2018). Decreased expression of TRIM21 indicates unfavorable outcome and promotes cell growth in breast cancer. Cancer Management and Research. Volume 10. 3687–3696. 52 indexed citations
16.
Jiang, Qianqian, Lin Wang, Feng Ding, et al.. (2018). Morphology, structure and in vitro digestibility of starches isolated from Ipomoea batatas (L.) Lam. by alkali and ethanol methods. International Journal of Biological Macromolecules. 125. 1147–1155. 11 indexed citations
17.
Fan, Dahua, Liping Liu, Zhengzhi Wu, & Meiqun Cao. (2018). Combating Neurodegenerative Diseases with the Plant Alkaloid Berberine: Molecular Mechanisms and Therapeutic Potential. Current Neuropharmacology. 17(6). 563–579. 52 indexed citations
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20.
Zhang, Chunhu, et al.. (2008). Antiproliferative and apoptotic effects of paeonol on human hepatocellular carcinoma cells. Anti-Cancer Drugs. 19(4). 401–409. 28 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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