Yonglan Liu

3.4k total citations
82 papers, 2.7k citations indexed

About

Yonglan Liu is a scholar working on Molecular Biology, Physiology and Surfaces, Coatings and Films. According to data from OpenAlex, Yonglan Liu has authored 82 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 18 papers in Physiology and 11 papers in Surfaces, Coatings and Films. Recurrent topics in Yonglan Liu's work include Alzheimer's disease research and treatments (16 papers), Polymer Surface Interaction Studies (11 papers) and Computational Drug Discovery Methods (10 papers). Yonglan Liu is often cited by papers focused on Alzheimer's disease research and treatments (16 papers), Polymer Surface Interaction Studies (11 papers) and Computational Drug Discovery Methods (10 papers). Yonglan Liu collaborates with scholars based in United States, China and Israel. Yonglan Liu's co-authors include Jie Zheng, Yanxian Zhang, Dong Zhang, Baiping Ren, Mingzhen Zhang, Ruth Nussinov, Hyunbum Jang, Yijing Tang, Xiong Gong and Yung Chang and has published in prestigious journals such as Chemical Society Reviews, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Yonglan Liu

80 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonglan Liu United States 29 914 708 505 369 367 82 2.7k
Mingzhen Zhang United States 35 1.8k 2.0× 468 0.7× 613 1.2× 247 0.7× 407 1.1× 84 3.3k
Stefania Lamponi Italy 33 595 0.7× 527 0.7× 165 0.3× 317 0.9× 606 1.7× 116 2.8k
Dong Jin Kim South Korea 32 558 0.6× 525 0.7× 220 0.4× 211 0.6× 219 0.6× 175 3.2k
Benjamin Le Droumaguet France 24 564 0.6× 501 0.7× 330 0.7× 218 0.6× 716 2.0× 57 2.2k
Adriana Trapani Italy 37 996 1.1× 563 0.8× 168 0.3× 108 0.3× 1.0k 2.7× 96 3.4k
Rundong Hu United States 19 495 0.5× 214 0.3× 441 0.9× 219 0.6× 233 0.6× 26 1.2k
Karine Andrieux France 28 1.1k 1.2× 717 1.0× 474 0.9× 132 0.4× 1.4k 3.7× 68 3.2k
Davide Brambilla Canada 23 820 0.9× 1.3k 1.8× 364 0.7× 141 0.4× 1.2k 3.3× 69 3.3k
Claudio Canale Italy 32 1.4k 1.5× 667 0.9× 818 1.6× 117 0.3× 394 1.1× 88 3.6k
Agnese Magnani Italy 35 579 0.6× 620 0.9× 140 0.3× 378 1.0× 680 1.9× 168 3.6k

Countries citing papers authored by Yonglan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yonglan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonglan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yonglan Liu. A scholar is included among the top collaborators of Yonglan Liu 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 Yonglan Liu. Yonglan Liu 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.
Liu, Yonglan, Wengang Zhang, Hyunbum Jang, & Ruth Nussinov. (2025). mTOR Variants Activation Discovers PI3K-like Cryptic Pocket, Expanding Allosteric, Mutant-Selective Inhibitor Designs. Journal of Chemical Information and Modeling. 65(2). 966–980. 3 indexed citations
3.
Xu, Liang, Yonglan Liu, Hyunbum Jang, & Ruth Nussinov. (2025). M-Ras distinct activation scenarios: A mechanistic outlook and targeting. Computational and Structural Biotechnology Journal. 27. 5207–5219.
4.
Zhang, Wengang, Yonglan Liu, Hyunbum Jang, & Ruth Nussinov. (2024). Slower CDK4 and faster CDK2 activation in the cell cycle. Structure. 32(8). 1269–1280.e2. 11 indexed citations
5.
Tang, Yijing, Yanxian Zhang, Dong Zhang, et al.. (2024). Exploring pathological link between antimicrobial and amyloid peptides. Chemical Society Reviews. 53(17). 8713–8763. 16 indexed citations
6.
Liu, Yonglan, Dong Zhang, Yijing Tang, Xiong Gong, & Jie Zheng. (2023). Development of a radical polymerization algorithm for molecular dynamics simulations of antifreezing hydrogels with double-network structures. npj Computational Materials. 9(1). 13 indexed citations
7.
Zhang, Mingzhen, Yonglan Liu, Hyunbum Jang, & Ruth Nussinov. (2023). Strategy toward Kinase-Selective Drug Discovery. Journal of Chemical Theory and Computation. 19(5). 1615–1628. 17 indexed citations
8.
Nussinov, Ruth, Mingzhen Zhang, Yonglan Liu, et al.. (2023). Neurodevelopmental disorders, like cancer, are connected to impaired chromatin remodelers, PI3K/mTOR, and PAK1-regulated MAPK. Biophysical Reviews. 15(2). 163–181. 31 indexed citations
9.
Nussinov, Ruth, Yonglan Liu, Wengang Zhang, & Hyunbum Jang. (2023). Cell phenotypes can be predicted from propensities of protein conformations. Current Opinion in Structural Biology. 83. 102722–102722. 21 indexed citations
10.
Nussinov, Ruth, et al.. (2022). Allostery: Allosteric Cancer Drivers and Innovative Allosteric Drugs. Journal of Molecular Biology. 434(17). 167569–167569. 48 indexed citations
11.
Liu, Yonglan, et al.. (2022). The structural basis of BCR-ABL recruitment of GRB2 in chronic myelogenous leukemia. Biophysical Journal. 121(12). 2251–2265. 16 indexed citations
12.
Zhang, Dong, Yonglan Liu, Yanghe Liu, et al.. (2021). A General Crosslinker Strategy to Realize Intrinsic Frozen Resistance of Hydrogels. Advanced Materials. 33(42). e2104006–e2104006. 149 indexed citations
13.
Zhang, Yanxian, Mingzhen Zhang, Yonglan Liu, et al.. (2021). Dual amyloid cross-seeding reveals steric zipper-facilitated fibrillization and pathological links between protein misfolding diseases. Journal of Materials Chemistry B. 9(15). 3300–3316. 22 indexed citations
14.
Tang, Yijing, Yonglan Liu, Yanxian Zhang, et al.. (2021). Repurposing a Cardiovascular Disease Drug of Cloridarol as hIAPP Inhibitor. ACS Chemical Neuroscience. 12(8). 1419–1427. 19 indexed citations
15.
Zhang, Yanxian, Yonglan Liu, Baiping Ren, et al.. (2019). Fundamentals and applications of zwitterionic antifouling polymers. Journal of Physics D Applied Physics. 52(40). 403001–403001. 149 indexed citations
16.
Zhang, Yanxian, Shaowen Xie, Dong Zhang, et al.. (2019). Thermo-Responsive and Shape-Adaptive Hydrogel Actuators from Fundamentals to Applications. Engineered Science. 29 indexed citations
17.
Ren, Baiping, Yanxian Zhang, Mingzhen Zhang, et al.. (2019). Fundamentals of cross-seeding of amyloid proteins: an introduction. Journal of Materials Chemistry B. 7(46). 7267–7282. 98 indexed citations
18.
Chen, Yongsheng, Sheng Geng, Yonglan Liu, et al.. (2018). Lipase-catalyzed synthesis mechanism of tri-acetylated phloridzin and its antiproliferative activity against HepG2 cancer cells. Food Chemistry. 277. 186–194. 27 indexed citations
19.
Ren, Baiping, Rundong Hu, Mingzhen Zhang, et al.. (2018). Experimental and Computational Protocols for Studies of Cross-Seeding Amyloid Assemblies. Methods in molecular biology. 1777. 429–447. 11 indexed citations
20.
Zhang, Ju, et al.. (2009). Asymmetric GP5+/6+ PCR and hybridization with fluorescence polarization assay of 15 human papillomavirus genotypes in clinical samples. Journal of Clinical Virology. 44(2). 106–110. 15 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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