Yan‐dan Zhou

568 total citations
11 papers, 435 citations indexed

About

Yan‐dan Zhou is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ophthalmology. According to data from OpenAlex, Yan‐dan Zhou has authored 11 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Ophthalmology. Recurrent topics in Yan‐dan Zhou's work include Retinal Diseases and Treatments (3 papers), Antioxidants, Aging, Portulaca oleracea (3 papers) and Retinal Imaging and Analysis (2 papers). Yan‐dan Zhou is often cited by papers focused on Retinal Diseases and Treatments (3 papers), Antioxidants, Aging, Portulaca oleracea (3 papers) and Retinal Imaging and Analysis (2 papers). Yan‐dan Zhou collaborates with scholars based in China, South Korea and Australia. Yan‐dan Zhou's co-authors include Wei Li, Zi Wang, Jingang Hou, Ying‐Ping Wang, Chen Chen, Shen Ren, Shuang Jiang, Ling Gao, Shuang Jiang and Jiayu Yang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Molecules.

In The Last Decade

Yan‐dan Zhou

11 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan‐dan Zhou China 9 197 110 76 62 60 11 435
Jiarui Yuan China 13 277 1.4× 91 0.8× 29 0.4× 33 0.5× 28 0.5× 39 625
Jefferson Crespigio Brazil 10 117 0.6× 81 0.7× 16 0.2× 28 0.5× 20 0.3× 15 454
Xiaoye Du China 13 328 1.7× 77 0.7× 45 0.6× 8 0.1× 28 0.5× 24 471
Yufang Chen China 12 98 0.5× 28 0.3× 21 0.3× 28 0.5× 25 0.4× 36 415
Eugenia Padilla Spain 10 141 0.7× 13 0.1× 35 0.5× 22 0.4× 25 0.4× 12 391
Tengku Ain Kamalden Malaysia 11 247 1.3× 10 0.1× 215 2.8× 60 1.0× 17 0.3× 33 536
Hala M.F. Mohammad Egypt 13 154 0.8× 25 0.2× 15 0.2× 8 0.1× 37 0.6× 23 368
Yen-Cheng Chen Taiwan 12 113 0.6× 19 0.2× 28 0.4× 25 0.4× 58 1.0× 23 400
Noha M. Abogresha Egypt 12 111 0.6× 25 0.2× 12 0.2× 17 0.3× 74 1.2× 17 366
Liangchang Li China 15 265 1.3× 55 0.5× 12 0.2× 12 0.2× 24 0.4× 38 584

Countries citing papers authored by Yan‐dan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐dan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐dan Zhou. 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 Yan‐dan Zhou. The network helps show where Yan‐dan Zhou may publish in the future.

Co-authorship network of co-authors of Yan‐dan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐dan Zhou. A scholar is included among the top collaborators of Yan‐dan Zhou 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 Yan‐dan Zhou. Yan‐dan Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Zhou, Yan‐dan, Jiayu Yang, Wei Liu, et al.. (2021). The p53/p21/p16 and PI3K/Akt signaling pathways are involved in the ameliorative effects of maltol on D‐galactose‐induced liver and kidney aging and injury. Phytotherapy Research. 35(8). 4411–4424. 62 indexed citations
3.
Zhang, Junjie, Yan‐dan Zhou, Yongbo Liu, et al.. (2021). Protective Effect of 20(R)-Ginsenoside Rg3 Against Cisplatin-Induced Renal Toxicity via PI3K/AKT and NF-κB Signaling Pathways Based on the Premise of Ensuring Anticancer Effect. The American Journal of Chinese Medicine. 49(7). 1739–1756. 13 indexed citations
4.
Li, Wei, Jian‐Qiang Wang, Yan‐dan Zhou, et al.. (2020). Rare Ginsenoside 20(R)-Rg3 Inhibits D-Galactose-Induced Liver and Kidney Injury by Regulating Oxidative Stress-Induced Apoptosis. The American Journal of Chinese Medicine. 48(5). 1141–1157. 42 indexed citations
5.
Li, Liang, et al.. (2019). Quantitative analysis of retinal and choroid capillary ischaemia using optical coherence tomography angiography in type 2 diabetes. Acta Ophthalmologica. 97(3). 240–246. 42 indexed citations
6.
Zhou, Yan‐dan, Jiayu Yang, Jing Leng, et al.. (2019). Maltol (3-Hydroxy-2-methyl-4-pyrone) Slows d-Galactose-Induced Brain Aging Process by Damping the Nrf2/HO-1-Mediated Oxidative Stress in Mice. Journal of Agricultural and Food Chemistry. 67(37). 10342–10351. 60 indexed citations
7.
Zhou, Yan‐dan, Jingang Hou, Wei Liu, et al.. (2018). 20(R)-ginsenoside Rg3, a rare saponin from red ginseng, ameliorates acetaminophen-induced hepatotoxicity by suppressing PI3K/AKT pathway-mediated inflammation and apoptosis. International Immunopharmacology. 59. 21–30. 67 indexed citations
8.
Zhou, Yan‐dan, Jingang Hou, Ge Yang, et al.. (2018). Icariin ameliorates cisplatin-induced cytotoxicity in human embryonic kidney 293 cells by suppressing ROS-mediated PI3K/Akt pathway. Biomedicine & Pharmacotherapy. 109. 2309–2317. 62 indexed citations
9.
Sun, Gang, Xiaoyan Liu, Ling Gao, et al.. (2018). Automatic measurement of global retinal circulation in fluorescein angiography. Journal of Biomedical Optics. 23(6). 1–1. 4 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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