Zhen Yi

415 total citations
12 papers, 349 citations indexed

About

Zhen Yi is a scholar working on Molecular Biology, Rehabilitation and Physiology. According to data from OpenAlex, Zhen Yi has authored 12 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Rehabilitation and 4 papers in Physiology. Recurrent topics in Zhen Yi's work include Wound Healing and Treatments (4 papers), Mesenchymal stem cell research (2 papers) and Advanced Glycation End Products research (2 papers). Zhen Yi is often cited by papers focused on Wound Healing and Treatments (4 papers), Mesenchymal stem cell research (2 papers) and Advanced Glycation End Products research (2 papers). Zhen Yi collaborates with scholars based in China and United States. Zhen Yi's co-authors include Zonggui Wu, Zhiqing He, Chun Liang, Yusheng Ren, Xiaoming Pan, Hua Wang, Jianxiang Wu, Min Fan, Lianjun Guo and Qing Lü and has published in prestigious journals such as The American Journal of Cardiology, British Journal of Pharmacology and Plastic & Reconstructive Surgery.

In The Last Decade

Zhen Yi

12 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Yi China 8 155 98 65 42 41 12 349
Xiangfang Chen China 13 175 1.1× 37 0.4× 46 0.7× 24 0.6× 61 1.5× 34 462
Yu‐I Li Taiwan 10 118 0.8× 53 0.5× 62 1.0× 29 0.7× 19 0.5× 12 334
Tomoka Morita Japan 10 160 1.0× 38 0.4× 29 0.4× 55 1.3× 23 0.6× 15 356
Marianna Murányi United States 10 191 1.2× 33 0.3× 26 0.4× 31 0.7× 106 2.6× 14 449
Guangzhi Sui United States 7 180 1.2× 144 1.5× 30 0.5× 13 0.3× 112 2.7× 8 433
Esraa Shosha United States 13 181 1.2× 40 0.4× 83 1.3× 19 0.5× 11 0.3× 20 427
Vivian C. Calegari Brazil 10 150 1.0× 45 0.5× 27 0.4× 76 1.8× 82 2.0× 14 428
Saleena Alikunju United States 11 183 1.2× 30 0.3× 36 0.6× 11 0.3× 29 0.7× 15 485
Kenzo Iino Japan 10 67 0.4× 67 0.7× 38 0.6× 97 2.3× 125 3.0× 17 360

Countries citing papers authored by Zhen Yi

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Yi

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

All Works

12 of 12 papers shown
2.
Yi, Zhen, Yiping Wu, Qi Zhang, et al.. (2023). E2F1-Deficient Adipose-Derived Stem Cells Improve Wound Closure in Mice by Up-Regulating Expression of VEGF and TGF-β1. Plastic & Reconstructive Surgery. 152(1). 98–107. 3 indexed citations
3.
Yi, Zhen, Zixiang Chen, Haibin Lu, et al.. (2022). The Role of Verteporfin in Prevention of Periprosthetic Capsular Fibrosis: An Experimental Study. Aesthetic Surgery Journal. 42(7). 820–829. 5 indexed citations
4.
Lv, Wenchang, Shengxuan Liu, Qi Zhang, et al.. (2020). Downregulation of Epac Reduces Fibrosis and Induces Apoptosis Through Akt Signaling in Human Keloid Fibroblasts. Journal of Surgical Research. 257. 306–316. 8 indexed citations
5.
6.
Xiao, Hui, Yiping Wu, Zhen Yi, et al.. (2020). Knockout of E2F1 enhances the polarization of M2 phenotype macrophages to accelerate the wound healing process. The Kaohsiung Journal of Medical Sciences. 36(9). 692–698. 13 indexed citations
7.
Yi, Zhen, Xiao Luo, & Lei Zhao. (2019). Research Advances in Chitosan Oligosaccharides: From Multiple Biological Activities to Clinical Applications. Current Medicinal Chemistry. 27(30). 5037–5055. 13 indexed citations
8.
Huang, Pengcheng, Li Cai, Dan Zhao, et al.. (2015). Flupirtine attenuates chronic restraint stress-induced cognitive deficits and hippocampal apoptosis in male mice. Behavioural Brain Research. 288. 1–10. 53 indexed citations
9.
Liang, Chun, Yusheng Ren, Zhiqing He, et al.. (2009). Rosiglitazone via upregulation of Akt/eNOS pathways attenuates dysfunction of endothelial progenitor cells, induced by advanced glycation end products. British Journal of Pharmacology. 158(8). 1865–1873. 93 indexed citations
10.
Zhang, Lu, Ru Ding, Zhen Yi, & Zonggui Wu. (2009). Relation of Urotensin II Levels to Lone Atrial Fibrillation. The American Journal of Cardiology. 104(12). 1704–1707. 12 indexed citations
11.
Liang, Chun, Yusheng Ren, Zhen Yi, et al.. (2008). Advanced glycation end products depress function of endothelial progenitor cells via p38 and ERK 1/2 mitogen-activated protein kinase pathways. Basic Research in Cardiology. 104(1). 42–49. 139 indexed citations
12.
He, Zhiqing, et al.. (2007). Vicious cycle composed of gut flora and visceral fat: A novel explanation of the initiation and progression of atherosclerosis. Medical Hypotheses. 70(4). 808–811. 8 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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