Chunmei Dai

1.6k total citations
69 papers, 1.2k citations indexed

About

Chunmei Dai is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Chunmei Dai has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Pharmacology and 12 papers in Complementary and alternative medicine. Recurrent topics in Chunmei Dai's work include Pharmacological Effects of Natural Compounds (13 papers), thermodynamics and calorimetric analyses (7 papers) and Phytochemistry and biological activity of medicinal plants (5 papers). Chunmei Dai is often cited by papers focused on Pharmacological Effects of Natural Compounds (13 papers), thermodynamics and calorimetric analyses (7 papers) and Phytochemistry and biological activity of medicinal plants (5 papers). Chunmei Dai collaborates with scholars based in China, South Korea and Estonia. Chunmei Dai's co-authors include Yu Ouyang, Yi Liu, Yan‐Jun Hu, Xiaohe Xiao, Xiaohe Xiao, Jiafu Feng, Yuwei Yang, Jiabo Wang, Weijun Kong and Yanling Zhao and has published in prestigious journals such as PLoS ONE, Applied Microbiology and Biotechnology and Molecules.

In The Last Decade

Chunmei Dai

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunmei Dai China 19 636 229 173 151 118 69 1.2k
Guorong Fan China 20 543 0.9× 180 0.8× 149 0.9× 159 1.1× 106 0.9× 77 1.3k
Young G. Shin South Korea 24 975 1.5× 267 1.2× 207 1.2× 223 1.5× 161 1.4× 97 1.9k
Saeed Alqahtani Saudi Arabia 21 401 0.6× 192 0.8× 126 0.7× 92 0.6× 124 1.1× 78 1.4k
Ehab M. M. Ali Egypt 19 349 0.5× 124 0.5× 118 0.7× 134 0.9× 121 1.0× 90 1.2k
Jie Hou China 25 775 1.2× 194 0.8× 304 1.8× 144 1.0× 159 1.3× 101 1.7k
Guangbo Ge China 21 612 1.0× 216 0.9× 324 1.9× 144 1.0× 213 1.8× 92 1.4k
Imrana Naseem India 26 752 1.2× 353 1.5× 86 0.5× 136 0.9× 208 1.8× 89 2.0k
Faisal Imam Saudi Arabia 23 410 0.6× 122 0.5× 161 0.9× 105 0.7× 94 0.8× 88 1.5k
Jianyao Wang China 27 680 1.1× 194 0.8× 164 0.9× 80 0.5× 174 1.5× 90 2.0k

Countries citing papers authored by Chunmei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chunmei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunmei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Chunmei Dai. A scholar is included among the top collaborators of Chunmei Dai 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 Chunmei Dai. Chunmei Dai 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.
Chen, Xi, Chunmei Dai, Bin Zhang, et al.. (2025). RGD hydrogel-loaded ADSC extracellular vesicles mitigate uranium-induced renal injury via TLR4/NF-κB pathway inhibition. Journal of Nanobiotechnology. 23(1). 114–114. 3 indexed citations
2.
Li, Cong, Lina Feng, Mingquan Li, & Chunmei Dai. (2025). Research progress on the regulation of Nrf2/HO-1 signaling pathway by traditional Chinese medicine in the treatment of Alzheimer's disease. Journal of Alzheimer s Disease. 108(4). 1475–1487. 1 indexed citations
3.
Feng, Lina, et al.. (2025). Natural Products from Chinese Medicine Targeting NF-κB Signaling: Emerging Therapeutic Avenues for Neurodegenerative Diseases. Drug Design Development and Therapy. Volume 19. 8135–8159.
5.
Zhu, Wanjun, et al.. (2024). Study on effects and relevant mechanisms of Mudan granules on renal fibrosis in streptozotocin-induced diabetes rats. Renal Failure. 46(1). 2310733–2310733. 3 indexed citations
6.
Liu, Xiaojuan, et al.. (2022). A Review of Traditional Chinese Medicine on Treatment of Diabetic Nephropathy and the Involved Mechanisms. The American Journal of Chinese Medicine. 50(7). 1739–1779. 61 indexed citations
7.
Li, Shuzhen, Hua Li, Yajie Cao, et al.. (2021). Integrated bioinformatics analysis reveals CDK1 and PLK1 as potential therapeutic targets of lung adenocarcinoma. Medicine. 100(32). e26474–e26474. 9 indexed citations
8.
Yang, Yuwei, Chunmei Dai, Xiaohong Chen, & Jiafu Feng. (2021). The Relationship between Serum Trace Elements and Oxidative Stress of Patients with Different Types of Cancer. Oxidative Medicine and Cellular Longevity. 2021(1). 4846951–4846951. 27 indexed citations
9.
Dai, Chunmei, et al.. (2018). Hepatocellular carcinoma-targeted effect of configurations and groups of glycyrrhetinic acid by evaluation of its derivative-modified liposomes. International Journal of Nanomedicine. Volume 13. 1621–1632. 35 indexed citations
10.
Li, Junyan, et al.. (2018). Quantitative Analysis of Cadmium Content in Tomato Leaves Based on Hyperspectral Image and Feature Selection. Applied Engineering in Agriculture. 34(5). 789–798. 19 indexed citations
11.
Hong, Huiling, Wenwei Luo, Chunmei Dai, et al.. (2018). mTORC2 facilitates endothelial cell senescence by suppressing Nrf2 expression via the Akt/GSK-3β/C/EBPα signaling pathway. Acta Pharmacologica Sinica. 39(12). 1837–1846. 32 indexed citations
12.
Wu, Rong, Jiafu Feng, Yuwei Yang, et al.. (2017). Significance of Serum Total Oxidant/Antioxidant Status in Patients with Colorectal Cancer. PLoS ONE. 12(1). e0170003–e0170003. 92 indexed citations
13.
Dai, Chunmei, et al.. (2017). Binding effect of fluorescence labeled glycyrrhetinic acid with GA receptors in hepatocellular carcinoma cells. Life Sciences. 188. 186–191. 23 indexed citations
14.
Feng, Jiafu, et al.. (2016). Analysis of the diagnostic efficiency of serum oxidative stress parameters in patients with breast cancer at various clinical stages. Clinical Biochemistry. 49(9). 692–698. 21 indexed citations
15.
Dai, Chunmei, et al.. (2016). Thermodynamics of the interaction of copper(ІІ) glycine-salicylic aldehyde schiff base-phenanthroline mixed complex with bovine serum albumin. Chinese Science Bulletin (Chinese Version). 61(21). 2380–2386. 1 indexed citations
16.
Dai, Chunmei, et al.. (2011). Physicochemical Reactions and Energy Consumption of Alkali-Free Glass Batches During Melting——Pyrophyllite Versus Kaolinite and Silica. Guisuanyan xuebao. 2 indexed citations
17.
Dai, Chunmei, et al.. (2010). Dose-effect relationship of berberine and analogues on antibacterial metabolism of Bacillus shigae by microcalorimetry.. Zhongcaoyao. 41(7). 1136–1139. 4 indexed citations
18.
Hu, Yan‐Jun, Yu Ouyang, Chunmei Dai, Yi Liu, & Xiaohe Xiao. (2010). Binding of berberine to bovine serum albumin: spectroscopic approach. Molecular Biology Reports. 37(8). 3827–3832. 71 indexed citations
19.
Dai, Chunmei. (2005). Microcalorimetry Study on the Escherichia Coli Metabolism Affected by Coptis Roots in Different Areas. 2 indexed citations
20.
Dai, Chunmei, et al.. (2005). Application of microcalorimetric analysis to research on traditional Chinese medicine. Zhongcaoyao. 3 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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