Wen Yi

8.8k total citations · 3 hit papers
119 papers, 6.9k citations indexed

About

Wen Yi is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Wen Yi has authored 119 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 31 papers in Organic Chemistry and 15 papers in Immunology. Recurrent topics in Wen Yi's work include Glycosylation and Glycoproteins Research (43 papers), Carbohydrate Chemistry and Synthesis (27 papers) and Galectins and Cancer Biology (10 papers). Wen Yi is often cited by papers focused on Glycosylation and Glycoproteins Research (43 papers), Carbohydrate Chemistry and Synthesis (27 papers) and Galectins and Cancer Biology (10 papers). Wen Yi collaborates with scholars based in United States, China and Canada. Wen Yi's co-authors include James W. Simpkins, Shao‐Hua Yang, Ran Liu, Yu‐Qi Feng, Peng George Wang, Peter Koulen, Lili Wang, Karen Duff, Emmanuel Planel and Linda C. Hsieh‐Wilson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Wen Yi

117 papers receiving 6.8k citations

Hit Papers

Inhibition of glycogen synthase kinase-3 by lithium corre... 2005 2026 2012 2019 2005 2012 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Yi United States 43 3.6k 1.4k 900 875 860 119 6.9k
Soo Young Choi South Korea 52 4.9k 1.4× 1.3k 0.9× 631 0.7× 1.3k 1.4× 1.3k 1.5× 521 11.1k
Feng Li China 53 4.9k 1.4× 2.1k 1.5× 505 0.6× 509 0.6× 673 0.8× 335 10.7k
Junichi Fujii Japan 53 6.1k 1.7× 1.5k 1.1× 912 1.0× 381 0.4× 677 0.8× 265 11.8k
Rodrigo Franco United States 45 4.2k 1.2× 891 0.6× 544 0.6× 301 0.3× 636 0.7× 112 8.3k
Yudong Zhou China 45 2.3k 0.6× 571 0.4× 513 0.6× 420 0.5× 932 1.1× 186 5.8k
Karsten Melcher United States 49 5.0k 1.4× 1.2k 0.8× 601 0.7× 270 0.3× 1.0k 1.2× 100 8.7k
Pamela T. Manning United States 37 1.8k 0.5× 1.9k 1.3× 584 0.6× 564 0.6× 479 0.6× 67 6.9k
Swapan K. Ray United States 57 4.9k 1.4× 823 0.6× 676 0.8× 212 0.2× 1.8k 2.1× 213 10.1k
Kenneth R. Reuhl United States 45 2.4k 0.7× 557 0.4× 525 0.6× 320 0.4× 565 0.7× 141 7.6k
Angelika M. Vollmar Germany 56 4.2k 1.2× 857 0.6× 219 0.2× 686 0.8× 441 0.5× 243 9.8k

Countries citing papers authored by Wen Yi

Since Specialization
Citations

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

Fields of papers citing papers by Wen Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Yi. A scholar is included among the top collaborators of Wen 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 Wen Yi. Wen Yi 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.
Yu, Liyang, Shushu Song, Yong Wang, et al.. (2025). Mina53 catalyzes arginine demethylation of p53 to promote tumor growth. Cell Reports. 44(2). 115242–115242. 1 indexed citations
2.
Sun, Jie, Fanhao Meng, Ziqiang Wang, et al.. (2025). Drag reduction performance in transportation of thermally produced heavy oil by self-generating foam injection. International Journal of Multiphase Flow. 193. 105389–105389.
3.
Li, Jingchao, Bingyi Lin, Liming Wu, et al.. (2024). O-GlcNAcylation of enolase 1 serves as a dual regulator of aerobic glycolysis and immune evasion in colorectal cancer. Proceedings of the National Academy of Sciences. 121(44). e2408354121–e2408354121. 9 indexed citations
4.
Xu, Zhuojia, Jialin Liu, Wenjing Ma, et al.. (2024). Integrated chemoenzymatic synthesis of a comprehensive sulfated ganglioside glycan library to decipher functional sulfoglycomics and sialoglycomics. Nature Chemistry. 16(6). 881–892. 22 indexed citations
5.
Zhou, Lixiao, Xingsen Zhao, Jie Sun, et al.. (2024). Mina53 demethylates histone H4 arginine 3 asymmetric dimethylation to regulate neural stem/progenitor cell identity. Nature Communications. 15(1). 10227–10227. 5 indexed citations
6.
Cao, Yuting, Wen Yi, & Qiang Zhu. (2024). Glycosylation in the tumor immune response: the bitter side of sweetness. Acta Biochimica et Biophysica Sinica. 56(8). 1184–1198. 6 indexed citations
7.
Jiang, Wei, Yilin Zhang, Zuo‐Lin Li, et al.. (2024). CD8 T cells induce the peritubular capillary rarefaction during AKI to CKD transition. International Journal of Biological Sciences. 20(8). 2980–2993. 6 indexed citations
9.
Wang, Mengxuan, Qiang Zhu, Xiaoli Huang, et al.. (2023). OgtDeficiency Induces Abnormal Cerebellar Function and Behavioral Deficits of Adult Mice through Modulating RhoA/ROCK Signaling. Journal of Neuroscience. 43(25). 4559–4579. 9 indexed citations
10.
Lü, Na, Jinfeng Ye, Jiansong Cheng, et al.. (2019). Redox-Controlled Site-Specific α2–6-Sialylation. Journal of the American Chemical Society. 141(11). 4547–4552. 34 indexed citations
11.
Li, Xuexia, Xiaoyan Xu, Xiongjian Rao, Yinping Tian, & Wen Yi. (2017). Chemical remodeling cell surface glycans for immunotargeting of tumor cells. Carbohydrate Research. 452. 25–34. 11 indexed citations
12.
Poteet, Ethan, Gourav Roy Choudhury, Ali Winters, et al.. (2013). Reversing the Warburg Effect as a Treatment for Glioblastoma. Journal of Biological Chemistry. 288(13). 9153–9164. 84 indexed citations
13.
Yi, Wen, Peter M. Clark, Daniel E. Mason, et al.. (2012). Phosphofructokinase 1 Glycosylation Regulates Cell Growth and Metabolism. Science. 337(6097). 975–980. 514 indexed citations breakdown →
14.
Poteet, Ethan, Ali Winters, Liang‐Jun Yan, et al.. (2012). Neuroprotective Actions of Methylene Blue and Its Derivatives. PLoS ONE. 7(10). e48279–e48279. 129 indexed citations
15.
Yi, Wen, Wai Haung Yu, Bryan Maloney, et al.. (2008). Transcriptional Regulation of β-Secretase by p25/cdk5 Leads to Enhanced Amyloidogenic Processing. Neuron. 57(5). 680–690. 164 indexed citations
16.
Jung, Marianna E., et al.. (2008). Ethanol Withdrawal Provokes Opening of the Mitochondrial Membrane Permeability Transition Pore in an Estrogen-Preventable Manner. Journal of Pharmacology and Experimental Therapeutics. 328(3). 692–698. 16 indexed citations
18.
Guo, Hongjie, et al.. (2006). Overexpression and characterization of Wzz of Escherichia coli O86:H2. Protein Expression and Purification. 48(1). 49–55. 28 indexed citations
19.
Yi, Wen, Jun Shao, Lizhi Zhu, et al.. (2005). Escherichia coli O86 O-Antigen Biosynthetic Gene Cluster and Stepwise Enzymatic Synthesis of Human Blood Group B Antigen Tetrasaccharide. Journal of the American Chemical Society. 127(7). 2040–2041. 85 indexed citations
20.
Jung, Marianna E., et al.. (2004). Estrogen protects against brain lipid peroxidation in ethanol-withdrawn rats. Pharmacology Biochemistry and Behavior. 79(3). 573–586. 26 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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