Zhenwei Ge

648 total citations · 1 hit paper
12 papers, 486 citations indexed

About

Zhenwei Ge is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Zhenwei Ge has authored 12 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Surgery. Recurrent topics in Zhenwei Ge's work include Circular RNAs in diseases (4 papers), Cardiac Valve Diseases and Treatments (3 papers) and Cancer-related molecular mechanisms research (3 papers). Zhenwei Ge is often cited by papers focused on Circular RNAs in diseases (4 papers), Cardiac Valve Diseases and Treatments (3 papers) and Cancer-related molecular mechanisms research (3 papers). Zhenwei Ge collaborates with scholars based in China. Zhenwei Ge's co-authors include Baocai Wang, Junjie Sun, Xiliang Zhu, Junlong Hu, Zhaoyun Cheng, Lin Liu, Jian Zhao, Liang Zhao, Zhaoyun Cheng and Jianchao Li and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine and International Journal of Cardiology.

In The Last Decade

Zhenwei Ge

11 papers receiving 479 citations

Hit Papers

Human umbilical cord blood–derived MSCs exosome attenuate... 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
Zhenwei Ge China 7 360 251 137 69 44 12 486
Shaoyan Jiang China 13 335 0.9× 225 0.9× 45 0.3× 54 0.8× 66 1.5× 20 496
Boqian Zhu China 11 213 0.6× 145 0.6× 71 0.5× 46 0.7× 21 0.5× 23 342
Kai Quan China 13 324 0.9× 178 0.7× 122 0.9× 20 0.3× 40 0.9× 40 646
Shuya Feng China 6 279 0.8× 200 0.8× 43 0.3× 139 2.0× 21 0.5× 9 415
Qirong Xu China 13 229 0.6× 109 0.4× 129 0.9× 58 0.8× 23 0.5× 26 442
Zulong Sheng China 13 211 0.6× 101 0.4× 39 0.3× 87 1.3× 47 1.1× 24 429
Man Shang China 10 230 0.6× 103 0.4× 36 0.3× 34 0.5× 79 1.8× 20 371

Countries citing papers authored by Zhenwei Ge

Since Specialization
Citations

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

Fields of papers citing papers by Zhenwei Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenwei Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenwei Ge. A scholar is included among the top collaborators of Zhenwei Ge 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 Zhenwei Ge. Zhenwei Ge 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
1.
Lu, Yifan, Qiang Lv, Xin Du, et al.. (2025). Multicenter study for CH-VAD as a fully magnetically levitated left ventricular assist device. iScience. 28(2). 111764–111764.
2.
Cheng, Xiaolei, Dongdong Jian, Junyue Xing, et al.. (2023). Circulating cardiac MicroRNAs safeguard against dilated cardiomyopathy. Clinical and Translational Medicine. 13(5). e1258–e1258. 10 indexed citations
3.
Wang, Ying, Yanan Li, Zhenwei Ge, et al.. (2022). Role of Vector Flow Mapping in Evaluating Left Ventricular Diastolic Flow Dynamics in Patients Who Underwent Mitral Valve Repair for Degenerative Mitral Regurgitation. Reviews in Cardiovascular Medicine. 23(9). 301–301. 2 indexed citations
4.
Zhao, Liang, Baocai Wang, Junjie Sun, et al.. (2020). The circular RNA TLK1 exacerbates myocardial ischemia/reperfusion injury via targeting miR-214/RIPK1 through TNF signaling pathway. Free Radical Biology and Medicine. 155. 69–80. 54 indexed citations
5.
Wang, Baocai, et al.. (2020). Human umbilical cord blood–derived MSCs exosome attenuate myocardial injury by inhibiting ferroptosis in acute myocardial infarction mice. Cell Biology and Toxicology. 37(1). 51–64. 267 indexed citations breakdown →
6.
Li, Jianchao, et al.. (2020). Anti-inflammatory cytokine IL10 loaded cRGD liposomes for the targeted treatment of atherosclerosis. Journal of Microencapsulation. 38(6). 357–364. 15 indexed citations
7.
Lu, Guoqing, Xianjie Chen, Xiliang Zhu, et al.. (2020). Knockdown of Long Noncoding RNA SNHG14 Protects H9c2 Cells Against Hypoxia-induced Injury by Modulating miR-25-3p/KLF4 Axis in Vitro. Journal of Cardiovascular Pharmacology. 77(3). 334–342. 6 indexed citations
8.
Ge, Zhenwei, Xiliang Zhu, Baocai Wang, et al.. (2019). MicroRNA-26b relieves inflammatory response and myocardial remodeling of mice with myocardial infarction by suppression of MAPK pathway through binding to PTGS2. International Journal of Cardiology. 280. 152–159. 57 indexed citations
9.
Wang, Baocai, et al.. (2019). LncRNA OIP5-AS1 inhibits osteoblast differentiation of valve interstitial cells via miR-137/TWIST11 axis. Biochemical and Biophysical Research Communications. 511(4). 826–832. 24 indexed citations
10.
Cheng, Zhaoyun, Zhenwei Ge, Baocai Wang, et al.. (2018). Clinical efficacy of two different tricuspid annuloplasty techniques in left cardiac valve surgery. Asian Pacific Journal of Tropical Medicine. 11(2). 166–166. 1 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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