Yu‐Zheng Ge

1.2k total citations
56 papers, 924 citations indexed

About

Yu‐Zheng Ge is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu‐Zheng Ge has authored 56 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Cancer Research and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu‐Zheng Ge's work include MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (9 papers) and Acute Kidney Injury Research (7 papers). Yu‐Zheng Ge is often cited by papers focused on MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (9 papers) and Acute Kidney Injury Research (7 papers). Yu‐Zheng Ge collaborates with scholars based in China and United States. Yu‐Zheng Ge's co-authors include Rui-Peng Jia, Luwei Xu, Ruiyang Wu, Liuhua Zhou, Jiageng Zhu, Zheng Xu, Changcheng Zhou, Jianping Wu, Yang Li and Luwei Xu and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yu‐Zheng Ge

52 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Zheng Ge China 19 505 327 190 133 86 56 924
Chuanwu Cao China 16 585 1.2× 360 1.1× 99 0.5× 71 0.5× 152 1.8× 31 989
Stephan Söder Germany 19 326 0.6× 159 0.5× 177 0.9× 141 1.1× 78 0.9× 57 1.2k
Genshan Ma China 19 682 1.4× 309 0.9× 298 1.6× 136 1.0× 123 1.4× 73 1.3k
Stéphanie Simoncini France 15 916 1.8× 397 1.2× 124 0.7× 144 1.1× 109 1.3× 33 1.4k
Shu Sun Denmark 17 324 0.6× 171 0.5× 140 0.7× 208 1.6× 60 0.7× 45 1.2k
Massimo Cedrino Italy 14 709 1.4× 348 1.1× 150 0.8× 57 0.4× 173 2.0× 23 930
Bryce G. Johnson United States 12 579 1.1× 204 0.6× 114 0.6× 167 1.3× 57 0.7× 15 1.1k
Lan Zhang China 14 581 1.2× 250 0.8× 189 1.0× 124 0.9× 44 0.5× 36 999
Marish I.F.J. Oerlemans Netherlands 15 896 1.8× 347 1.1× 204 1.1× 70 0.5× 93 1.1× 60 1.3k
Luciana Aparecida Reis Brazil 9 483 1.0× 213 0.7× 130 0.7× 48 0.4× 188 2.2× 13 761

Countries citing papers authored by Yu‐Zheng Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Zheng Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Zheng Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Zheng Ge. A scholar is included among the top collaborators of Yu‐Zheng 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 Yu‐Zheng Ge. Yu‐Zheng Ge 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.
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Wu, Di, Jingyu Liu, Luwei Xu, et al.. (2024). Neutrophil-derived nanovesicles deliver IL-37 to mitigate renal ischemia-reperfusion injury via endothelial cell targeting. Journal of Controlled Release. 370. 66–81. 11 indexed citations
3.
4.
Yang, Li, Ning Liu, Xi Hong, et al.. (2022). Pan-Cancer Transcriptomic Analysis Identifies PLK1 Crucial for the Tumorigenesis of Clear Cell Renal Cell Carcinoma. SHILAP Revista de lepidopterología. 4 indexed citations
5.
Yang, Li, Yu‐Zheng Ge, Ke Chen, et al.. (2022). The Role of P4HA1 in Multiple Cancer Types and its Potential as a Target in Renal Cell Carcinoma. Frontiers in Genetics. 13. 848456–848456. 11 indexed citations
6.
Peng, Yu, Jianxin Liu, Yong Zhang, et al.. (2022). The post-transcriptional inhibition of CXCR4 expression by miR-139 regulates the proliferation of human kidney cancer cells. Acta Biochimica Polonica. 69(1). 189–195. 2 indexed citations
7.
Xu, Zheng, Yu‐Zheng Ge, Ke Jiang, et al.. (2021). Effects of shRNA‑mediated silencing of PDE5A3 on intracellular cGMP and free Ca2+ levels and human prostate smooth muscle cell proliferation from benign prostatic hyperplasia. Experimental and Therapeutic Medicine. 21(4). 322–322. 2 indexed citations
8.
Zhu, Yunpeng, Kai Zhao, Longxin Wang, et al.. (2020). Erythropoietin Preconditioning Mobilizes Endothelial Progenitor Cells to Attenuate Nephron-Sparing Surgery-Induced Ischemia-Reperfusion Injury. Transplantation Proceedings. 52(10). 2955–2963. 4 indexed citations
9.
Zhou, Changcheng, Liuhua Zhou, Jingyu Liu, et al.. (2020). Kidney extracellular matrix hydrogel enhances therapeutic potential of adipose-derived mesenchymal stem cells for renal ischemia reperfusion injury. Acta Biomaterialia. 115. 250–263. 49 indexed citations
10.
Zhang, Yifan, Luwei Xu, Kai Liang, et al.. (2019). Protective effect of salvianolic acid B against oxidative injury associated with cystine stone formation. Urolithiasis. 47(6). 503–510. 8 indexed citations
11.
Zhou, Liuhua, Luwei Xu, Feng Zhao, et al.. (2018). Protective Effects of Uncultured Adipose-Derived Stromal Vascular Fraction on Testicular Injury Induced by Torsion-Detorsion in Rats. Stem Cells Translational Medicine. 8(4). 383–391. 17 indexed citations
12.
Ge, Yu‐Zheng, Tao Xu, Weijun Cao, et al.. (2017). A Molecular Signature of Two Long Non-Coding RNAs in Peripheral Blood Predicts Acute Renal Allograft Rejection. Cellular Physiology and Biochemistry. 44(3). 1213–1223. 19 indexed citations
13.
Ge, Yu‐Zheng, Luwei Xu, Zheng Xu, et al.. (2015). Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma. Medicine. 94(16). e767–e767. 22 indexed citations
14.
Xu, Zheng, Yu‐Zheng Ge, Jiageng Zhu, et al.. (2015). MicroRNA expression profiles in muscle-invasive bladder cancer: identification of a four-microRNA signature associated with patient survival. Tumor Biology. 36(10). 8159–8166. 26 indexed citations
15.
Ge, Yu‐Zheng, Yu Peng, Rui-Peng Jia, et al.. (2014). Association between transforming growth factor beta-1 +869T/C polymorphism and acute rejection of solid organ allograft: A meta-analysis and systematic review. Transplant Immunology. 30(2-3). 76–83. 8 indexed citations
16.
Ge, Yu‐Zheng, Zheng Xu, Luwei Xu, et al.. (2014). Pathway analysis of genome-wide association study on serum prostate-specific antigen levels. Gene. 551(1). 86–91. 13 indexed citations
17.
Ge, Yu‐Zheng, Luwei Xu, Rui-Peng Jia, et al.. (2014). Association of polymorphisms in estrogen receptors (ESR1 and ESR2) with male infertility: a meta-analysis and systematic review. Journal of Assisted Reproduction and Genetics. 31(5). 601–611. 26 indexed citations
18.
Jia, Ruipeng, et al.. (2013). Effects of Ischemic Preconditioning in the Late Phase on Homing of Endothelial Progenitor Cells in Renal Ischemia/Reperfusion Injury. Transplantation Proceedings. 45(2). 511–516. 21 indexed citations
19.
Wu, Rongqian, et al.. (2013). The Renoprotective Effect of Bone Marrow-Derived Endothelial Progenitor Cell Transplantation on Acute Ischemia-Reperfusion Injury in Rats. Transplantation Proceedings. 45(5). 2034–2039. 13 indexed citations
20.

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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