Cong Yu

1.6k total citations
46 papers, 1.0k citations indexed

About

Cong Yu is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Cong Yu has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 18 papers in Cell Biology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Cong Yu's work include Cellular transport and secretion (9 papers), Microtubule and mitosis dynamics (8 papers) and Cellular Mechanics and Interactions (7 papers). Cong Yu is often cited by papers focused on Cellular transport and secretion (9 papers), Microtubule and mitosis dynamics (8 papers) and Cellular Mechanics and Interactions (7 papers). Cong Yu collaborates with scholars based in China, Hong Kong and United States. Cong Yu's co-authors include Zhiyi Wei, Mingjie Zhang, Fei Ye, Wenyu Wen, Wei Feng, Kang Sun, Yanxiang Zhao, Chao Wang, Yohei Miyanoiri and Xingqiao Xie and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Cong Yu

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Yu China 16 700 401 166 132 118 46 1.0k
Melanie Barzik United States 13 524 0.7× 637 1.6× 187 1.1× 140 1.1× 106 0.9× 17 1.1k
Tomoyuki Sumi Japan 16 1.1k 1.6× 498 1.2× 190 1.1× 150 1.1× 95 0.8× 21 1.5k
Steve J. Winder United Kingdom 23 1.2k 1.7× 406 1.0× 157 0.9× 99 0.8× 119 1.0× 51 1.5k
Jonathan D. Leslie United Kingdom 12 1.0k 1.5× 571 1.4× 301 1.8× 119 0.9× 71 0.6× 13 1.5k
Zhiheng Jia United States 12 405 0.6× 354 0.9× 228 1.4× 85 0.6× 182 1.5× 20 932
Zoe M. Goeckeler United States 12 733 1.0× 553 1.4× 86 0.5× 270 2.0× 149 1.3× 15 1.2k
Souichi Kurita Japan 15 368 0.5× 315 0.8× 93 0.6× 89 0.7× 78 0.7× 18 741
Siew Ping Han Australia 13 614 0.9× 255 0.6× 70 0.4× 48 0.4× 62 0.5× 14 949
Enni Bertling Finland 11 319 0.5× 383 1.0× 110 0.7× 70 0.5× 103 0.9× 12 692
Hervé Pointu France 11 855 1.2× 368 0.9× 138 0.8× 56 0.4× 135 1.1× 12 1.2k

Countries citing papers authored by Cong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Yu. A scholar is included among the top collaborators of Cong Yu 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 Cong Yu. Cong Yu 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.
Liu, Yangyang, Cong Yu, Jing Li, et al.. (2025). Harnessing Multiplexed Proteolysis-Targeting Chimera for Comprehensive Influenza A Virus Targeting. Journal of the American Chemical Society. 147(45). 41331–41341.
2.
Xu, Chenzhong, Cong Yu, Jie Zhang, et al.. (2025). YTHDF1 differentiates the contributing roles of mTORC1 in aging. Molecular Cell. 85(11). 2194–2210.e8.
3.
Yu, Cong, et al.. (2025). Programmable targeted RNA degradation via dCas13d-directed chaperone-mediated autophagy (dCasCMA). Nature Communications. 16(1). 10738–10738.
4.
Chen, R, et al.. (2024). Geniposide modulates GSK3β to inhibit Th17 differentiation and mitigate endothelial damage in intracranial aneurysm. Phytotherapy Research. 38(11). 5184–5202. 1 indexed citations
5.
6.
Niu, Fengfeng, et al.. (2024). Autoinhibition and activation of myosin VI revealed by its cryo-EM structure. Nature Communications. 15(1). 1187–1187. 6 indexed citations
7.
Yu, Cong, et al.. (2024). Autoinhibition and relief mechanisms for MICAL monooxygenases in F-actin disassembly. Nature Communications. 15(1). 6824–6824. 1 indexed citations
8.
Yu, Cong, Haoyang Liu, Lei Wang, et al.. (2024). Dual-lock-and-key virus-mimicking nanoprobes for ultra-high accurate and sensitive imaging of viral infections in vivo. Nano Today. 59. 102527–102527. 2 indexed citations
9.
Zheng, Ping, et al.. (2023). Integrated spatial transcriptome and metabolism study reveals metabolic heterogeneity in human injured brain. Cell Reports Medicine. 4(6). 101057–101057. 40 indexed citations
10.
Liu, Haoyang, Yusi Hu, Cong Yu, et al.. (2023). Quantitative single-virus tracking for revealing the dynamics of SARS-CoV-2 fusion with plasma membrane. Science Bulletin. 69(4). 502–511. 3 indexed citations
11.
Wei, Zhiyi, et al.. (2023). Crystal Structure of the SH3 Domain of ASAP1 in Complex with the Proline Rich Motif (PRM) of MICAL1 Reveals a Unique SH3/PRM Interaction Mode. International Journal of Molecular Sciences. 24(2). 1414–1414. 5 indexed citations
12.
Yu, Cong, et al.. (2023). Structural basis of ELKS/Rab6B interaction and its role in vesicle capturing enhanced by liquid-liquid phase separation. Journal of Biological Chemistry. 299(6). 104808–104808. 6 indexed citations
13.
Zhang, Jing, Pei Huang, Yuqun Xu, et al.. (2023). KANK1 shapes focal adhesions by orchestrating protein binding, mechanical force sensing, and phase separation. Cell Reports. 42(11). 113321–113321. 7 indexed citations
14.
Xie, Xingqiao, et al.. (2021). Oligomerized liprin-α promotes phase separation of ELKS for compartmentalization of presynaptic active zone proteins. Cell Reports. 34(12). 108901–108901. 36 indexed citations
15.
Xu, Yuqun, Guo Chen, Chan Zhao, et al.. (2021). Nephrotic-syndrome-associated mutation of KANK2 induces pathologic binding competition with physiological interactor KIF21A. Journal of Biological Chemistry. 297(2). 100958–100958. 4 indexed citations
16.
Xie, Xingqiao, et al.. (2021). Liprin-α-Mediated Assemblies and Their Roles in Synapse Formation. Frontiers in Cell and Developmental Biology. 9. 653381–653381. 14 indexed citations
17.
Xie, Xingqiao, et al.. (2019). Structural basis of the target-binding mode of the G protein–coupled receptor kinase–interacting protein in the regulation of focal adhesion dynamics. Journal of Biological Chemistry. 294(15). 5827–5839. 9 indexed citations
18.
Tang, Kun, Yujie Li, Cong Yu, & Zhiyi Wei. (2019). Structural mechanism for versatile cargo recognition by the yeast class V myosin Myo2. Journal of Biological Chemistry. 294(15). 5896–5906. 15 indexed citations
19.
Sun, Kang, et al.. (2017). Structural insights into ankyrin repeat–mediated recognition of the kinesin motor protein KIF21A by KANK1, a scaffold protein in focal adhesion. Journal of Biological Chemistry. 293(6). 1944–1956. 22 indexed citations
20.
Yu, Cong, Wei Feng, Zhiyi Wei, et al.. (2009). Myosin VI Undergoes Cargo-Mediated Dimerization. Cell. 138(3). 537–548. 102 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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