Shu‐Lin Liu

4.4k total citations
155 papers, 3.3k citations indexed

About

Shu‐Lin Liu is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Shu‐Lin Liu has authored 155 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 37 papers in Biomedical Engineering and 26 papers in Materials Chemistry. Recurrent topics in Shu‐Lin Liu's work include Advanced biosensing and bioanalysis techniques (28 papers), Nanoplatforms for cancer theranostics (20 papers) and Lipid Membrane Structure and Behavior (16 papers). Shu‐Lin Liu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (28 papers), Nanoplatforms for cancer theranostics (20 papers) and Lipid Membrane Structure and Behavior (16 papers). Shu‐Lin Liu collaborates with scholars based in China, United States and France. Shu‐Lin Liu's co-authors include Dai‐Wen Pang, Zhi‐Gang Wang, Zhiling Zhang, Zhi‐Quan Tian, Enze Sun, An‐An Liu, Don C. Lamb, Richard K. Assoian, Liang Zhao and Haoyang Liu and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Shu‐Lin Liu

143 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu‐Lin Liu China 29 1.6k 788 576 413 325 155 3.3k
Hyesung Jeon South Korea 31 2.3k 1.4× 568 0.7× 538 0.9× 390 0.9× 244 0.8× 69 4.0k
Kathryn E. Luker United States 36 1.8k 1.1× 1.2k 1.5× 231 0.4× 290 0.7× 292 0.9× 76 4.9k
Rudolph Reimer Germany 29 1.2k 0.7× 502 0.6× 358 0.6× 309 0.7× 954 2.9× 71 4.0k
Ryan M. Williams United States 22 2.6k 1.6× 597 0.8× 1.0k 1.8× 232 0.6× 127 0.4× 47 3.7k
Katrien Remaut Belgium 39 2.8k 1.7× 897 1.1× 432 0.8× 116 0.3× 98 0.3× 121 4.5k
Ivo Que Netherlands 34 1.5k 0.9× 954 1.2× 328 0.6× 84 0.2× 179 0.6× 85 4.0k
Andrius Masedunskas United States 24 1.2k 0.7× 532 0.7× 391 0.7× 648 1.6× 214 0.7× 56 2.9k
Judith Mantell United Kingdom 22 1.4k 0.9× 308 0.4× 296 0.5× 433 1.0× 94 0.3× 61 2.5k
Gary J. Doherty United Kingdom 19 2.3k 1.4× 409 0.5× 234 0.4× 1.1k 2.7× 240 0.7× 44 4.2k
Dorothy A. Erie United States 42 4.2k 2.6× 533 0.7× 561 1.0× 184 0.4× 177 0.5× 91 5.8k

Countries citing papers authored by Shu‐Lin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Lin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu‐Lin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Lin Liu. A scholar is included among the top collaborators of Shu‐Lin 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 Shu‐Lin Liu. Shu‐Lin 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.
Zhao, Liang, Han Zhu, Qing‐Qing Ye, et al.. (2025). Water-Soluble NIR-II Photothermal Agent for Sprayable Skin Cancer Therapy. Journal of Medicinal Chemistry. 68(21). 23610–23619.
2.
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.
3.
Sun, Qianqian, Hai‐Yan Xie, Yusi Hu, et al.. (2025). Geneticability of Live‐Cell Site‐Specific Synthesis of Quantum Dots. Angewandte Chemie International Edition. 65(6). e19974–e19974.
4.
Li, Jiayao, Xue‐Hui Shi, Zhi‐Gang Wang, et al.. (2025). Dual Pathways of Photorelease Carbon Monoxide via Photosensitization for Tumor Treatment. Journal of the American Chemical Society. 147(6). 5459–5471. 5 indexed citations
5.
6.
Liu, Shu‐Lin, Chensheng Li, Yanping Huo, et al.. (2024). Proton transfer induced persistent triplet charge transfer phosphorescence in molecule-doped polymer systems. Chemical Engineering Journal. 497. 154819–154819. 3 indexed citations
7.
Wang, Zhigang, et al.. (2024). Metal nanozymes modulation of reactive oxygen species as promising strategies for cancer therapy. International Journal of Pharmaceutics. 662. 124453–124453. 7 indexed citations
8.
9.
Wang, Zhi‐Gang, Shu‐Lin Liu, Hezhong Wang, et al.. (2023). Purified fluorescent nanohybrids based on quantum dot–HER2–antibody for breast tumor target imaging. Talanta. 260. 124560–124560. 12 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.
Peng, Ying, Zhi‐Gang Wang, Bao‐Ping Qi, et al.. (2023). Carboxyl groups on carbon nanodots as co-reactant sites for anodic electrochemiluminescence of tris(2,2-bipyridine)ruthenium(II). Journal of Colloid and Interface Science. 653(Pt B). 1256–1263. 6 indexed citations
12.
Zhang, Yupeng, Zhi‐Gang Wang, Yifan Tian, et al.. (2023). In Situ Self‐Assembly of Fluorogenic RNA Nanozipper Enables Real‐Time Imaging of Single Viral mRNA Translation. Angewandte Chemie International Edition. 62(25). e202217230–e202217230. 16 indexed citations
13.
Wang, Zhi‐Gang, Lei Wang, Yifan Tian, et al.. (2023). Lipid‐Centric Design of Plasma Membrane‐Mimicking Nanocarriers for Targeted Chemotherapeutic Delivery. Advanced Materials. 36(2). e2306808–e2306808. 11 indexed citations
14.
Zhang, Yupeng, Zhi‐Gang Wang, Yifan Tian, et al.. (2023). In Situ Self‐Assembly of Fluorogenic RNA Nanozipper Enables Real‐Time Imaging of Single Viral mRNA Translation. Angewandte Chemie. 135(25). 1 indexed citations
15.
Zhu, Han, et al.. (2023). Engineered Lipidic Nanomaterials Inspired by Sphingomyelin Metabolism for Cancer Therapy. Molecules. 28(14). 5366–5366. 8 indexed citations
16.
Wu, Qi, Shu‐Lin Liu, Jiabin Liu, et al.. (2023). Bidirectional Mendelian randomization study of psychiatric disorders and Parkinson’s disease. Frontiers in Aging Neuroscience. 15. 1120615–1120615. 10 indexed citations
17.
Yu, Zi‐Li, Lijuan Zhang, Shu‐Lin Liu, et al.. (2023). Real‐Time Dissection of the Transportation and miRNA‐Release Dynamics of Small Extracellular Vesicles. Advanced Science. 10(7). e2205566–e2205566. 24 indexed citations
18.
Liu, Haoyang, Zhi‐Gang Wang, Shu‐Lin Liu, et al.. (2018). Intracellular pathway of halloysite nanotubes: potential application for antitumor drug delivery. Journal of Materials Science. 54(1). 693–704. 28 indexed citations
19.
Wang, Min, et al.. (2014). Quantitative trait loci associated with fruit length and stalk length in cucumber using RIL population.. Xibei zhiwu xuebao. 34(9). 1764–1770. 4 indexed citations
20.
Han, Miao, et al.. (2013). Genetic Analysis and Gene Mapping of Glossy Fruit Skin in Cucumber. Acta Horticulturae Sinica. 40(2). 247. 1 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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