Yun Ge

1.9k total citations
52 papers, 1.5k citations indexed

About

Yun Ge is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Yun Ge has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Organic Chemistry and 8 papers in Oncology. Recurrent topics in Yun Ge's work include Click Chemistry and Applications (9 papers), Glycosylation and Glycoproteins Research (5 papers) and Multiple Myeloma Research and Treatments (5 papers). Yun Ge is often cited by papers focused on Click Chemistry and Applications (9 papers), Glycosylation and Glycoproteins Research (5 papers) and Multiple Myeloma Research and Treatments (5 papers). Yun Ge collaborates with scholars based in China, United States and Rwanda. Yun Ge's co-authors include Peng R. Chen, Xinyuan Fan, Kim E. Light, Scott M. Belcher, Siqi Zheng, Gong Zhang, Chaoyong Yang, Zhi Zhu, Jingyi Zhao and Jie Li and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Yun Ge

49 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Ge China 20 927 453 217 174 169 52 1.5k
Bingchen Yu United States 21 1.1k 1.2× 691 1.5× 90 0.4× 199 1.1× 113 0.7× 37 1.9k
John L. Stebbins United States 26 1.2k 1.3× 255 0.6× 164 0.8× 72 0.4× 411 2.4× 39 2.0k
Insha Ahmad United States 11 1.3k 1.4× 187 0.4× 197 0.9× 271 1.6× 226 1.3× 12 1.9k
Stephen J. Briddon United Kingdom 32 1.9k 2.1× 145 0.3× 239 1.1× 274 1.6× 203 1.2× 87 2.6k
Robert J. Radford United States 22 964 1.0× 185 0.4× 116 0.5× 42 0.2× 189 1.1× 31 1.7k
Masato Maruyama Japan 18 808 0.9× 128 0.3× 152 0.7× 68 0.4× 303 1.8× 74 1.5k
Christian Jüngst Germany 21 938 1.0× 225 0.5× 90 0.4× 87 0.5× 70 0.4× 28 1.6k
Gene M. Dubowchik United States 26 1.3k 1.4× 709 1.6× 135 0.6× 596 3.4× 719 4.3× 80 3.0k
Andreas Katopodis Switzerland 23 897 1.0× 282 0.6× 303 1.4× 125 0.7× 188 1.1× 59 1.8k
Charlotte Martin Belgium 22 676 0.7× 443 1.0× 42 0.2× 133 0.8× 113 0.7× 82 1.5k

Countries citing papers authored by Yun Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yun Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Ge. A scholar is included among the top collaborators of Yun 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 Yun Ge. Yun 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.
2.
Shan, Guoping, et al.. (2025). A feature-based approach for atlas selection in automatic pelvic segmentation. PLoS ONE. 20(1). e0317801–e0317801.
3.
Wu, Jicheng, Hailin Lu, Ximing Xu, Lang Rao, & Yun Ge. (2024). Engineered Cellular Vesicles Displaying Glycosylated Nanobodies for Cancer Immunotherapy. Angewandte Chemie International Edition. 63(44). e202404889–e202404889. 10 indexed citations
4.
Zhang, Haili, Xuyang Li, Zhen Hui, et al.. (2024). A Semisynthesis Platform for the Efficient Production and Exploration of Didemnin‐Based Drugs. Angewandte Chemie. 136(12). 2 indexed citations
5.
Yuan, Yang, et al.. (2024). Developing an erythrocyte‒MHC-I conjugate for cancer treatment. Cell Discovery. 10(1). 99–99. 3 indexed citations
6.
Wu, Jicheng, Hailin Lu, Ximing Xu, Lang Rao, & Yun Ge. (2024). Engineered Cellular Vesicles Displaying Glycosylated Nanobodies for Cancer Immunotherapy. Angewandte Chemie. 136(44). 9 indexed citations
7.
Zhang, Haili, Xuyang Li, Zhen Hui, et al.. (2024). A Semisynthesis Platform for the Efficient Production and Exploration of Didemnin‐Based Drugs. Angewandte Chemie International Edition. 63(12). e202318784–e202318784. 5 indexed citations
8.
Chen, Yulin, Zhongyu Zou, Yingying Zheng, et al.. (2023). O-GlcNAcylation determines the translational regulation and phase separation of YTHDF proteins. Nature Cell Biology. 25(11). 1676–1690. 58 indexed citations
9.
Ge, Yun, et al.. (2021). Target protein deglycosylation in living cells by a nanobody-fused split O-GlcNAcase. Nature Chemical Biology. 17(5). 593–600. 72 indexed citations
10.
Chen, Ana, et al.. (2019). Hydrogen-bond-based protein engineering for the acidic adaptation of Bacillus acidopullulyticus pullulanase. Enzyme and Microbial Technology. 124. 79–83. 23 indexed citations
11.
Liu, Lu, Yanjun Liu, Gong Zhang, et al.. (2017). Genetically Encoded Chemical Decaging in Living Bacteria. Biochemistry. 57(4). 446–450. 28 indexed citations
12.
Ge, Yun, Wen Lei, Ying‐Yu Ma, et al.. (2017). Synergistic antitumor effects of CDK inhibitor SNS-032 and an oncolytic adenovirus co-expressing TRAIL and Smac in pancreatic cancer. Molecular Medicine Reports. 15(6). 3521–3528. 15 indexed citations
13.
Doroshow, James H., Ágnes Juhász, Yun Ge, et al.. (2012). Antiproliferative mechanisms of action of the flavin dehydrogenase inhibitors diphenylene iodonium and di-2-thienyliodonium based on molecular profiling of the NCI-60 human tumor cell panel. Biochemical Pharmacology. 83(9). 1195–1207. 31 indexed citations
14.
Wu, Yongzhong, Smitha Antony, Ágnes Juhász, et al.. (2011). Up-regulation and Sustained Activation of Stat1 Are Essential for Interferon-γ (IFN-γ)-induced Dual Oxidase 2 (Duox2) and Dual Oxidase A2 (DuoxA2) Expression in Human Pancreatic Cancer Cell Lines. Journal of Biological Chemistry. 286(14). 12245–12256. 58 indexed citations
15.
16.
Ge, Yun, Scott M. Belcher, Dwight R. Pierce, & Kim E. Light. (2004). Altered expression of Bcl2, Bad and Bax mRNA occurs in the rat cerebellum within hours after ethanol exposure on postnatal day 4 but not on postnatal day 9. Molecular Brain Research. 129(1-2). 124–134. 38 indexed citations
17.
Ge, Yun, Scott M. Belcher, & Kim E. Light. (2004). Alterations of cerebellar mRNA specific for BDNF, p75NTR, and TrkB receptor isoforms occur within hours of ethanol administration to 4-day-old rat pups. Developmental Brain Research. 151(1-2). 99–109. 28 indexed citations
18.
Ge, Yun, Scott M. Belcher, Dwight R. Pierce, & Kim E. Light. (2004). Detection of Purkinje cell loss following drug exposures to developing rat pups using reverse transcriptase-polymerase chain reaction (RT-PCR) analysis for calbindin-D28k mRNA expression. Toxicology Letters. 150(3). 325–334. 4 indexed citations
19.
Light, Kim E., Yun Ge, & Scott M. Belcher. (2001). Early postnatal ethanol exposure selectively decreases BDNF and truncated TrkB-T2 receptor mRNA expression in the rat cerebellum. Molecular Brain Research. 93(1). 46–55. 40 indexed citations
20.
Light, Kim E., Cynthia J.M. Kane, Dwight R. Pierce, et al.. (1998). Intragastric Intubation: Important Aspects of the Model for Administration of Ethanol to Rat Pups During the Postnatal Period. Alcoholism Clinical and Experimental Research. 22(7). 1600–1606. 33 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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