Linglan Fu

757 total citations · 1 hit paper
10 papers, 614 citations indexed

About

Linglan Fu is a scholar working on Cell Biology, Molecular Biology and Biomaterials. According to data from OpenAlex, Linglan Fu has authored 10 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 3 papers in Molecular Biology and 3 papers in Biomaterials. Recurrent topics in Linglan Fu's work include Cellular Mechanics and Interactions (5 papers), Hydrogels: synthesis, properties, applications (3 papers) and Silk-based biomaterials and applications (3 papers). Linglan Fu is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Hydrogels: synthesis, properties, applications (3 papers) and Silk-based biomaterials and applications (3 papers). Linglan Fu collaborates with scholars based in Canada, China and United States. Linglan Fu's co-authors include Hongbin Li, Qingyuan Bian, Bin Xue, Lan Li, Yi Cao, Jing Jin, Jiayu Li, Qing Jiang, Jie Fang and Xiaoye Gao and has published in prestigious journals such as Nature, Nature Communications and Macromolecules.

In The Last Decade

Linglan Fu

10 papers receiving 606 citations

Hit Papers

Cartilage-like protein hydrogels engineered via entanglement 2023 2026 2024 2025 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linglan Fu Canada 9 215 204 171 149 107 10 614
Wenxu Sun China 12 256 1.2× 302 1.5× 238 1.4× 82 0.6× 131 1.2× 25 716
Kazuya Furusawa Japan 14 234 1.1× 240 1.2× 177 1.0× 155 1.0× 69 0.6× 59 720
Hyuck Joon Kwon Japan 16 193 0.9× 285 1.4× 204 1.2× 130 0.9× 62 0.6× 28 753
Qingyuan Bian Canada 5 145 0.7× 156 0.8× 120 0.7× 57 0.4× 86 0.8× 7 416
Zaskia H. Eksteen-Akeroyd Netherlands 4 232 1.1× 221 1.1× 134 0.8× 109 0.7× 76 0.7× 6 624
Vincent A. A. le Sage Netherlands 8 396 1.8× 213 1.0× 174 1.0× 147 1.0× 99 0.9× 9 763
Luai R. Khoury Israel 9 121 0.6× 162 0.8× 89 0.5× 65 0.4× 59 0.6× 17 460
Joseph R. Simon United States 7 255 1.2× 151 0.7× 98 0.6× 373 2.5× 53 0.5× 8 714
Alexander Southan Germany 17 250 1.2× 491 2.4× 183 1.1× 100 0.7× 40 0.4× 53 867
Yoshikazu Kumashiro Japan 13 314 1.5× 321 1.6× 222 1.3× 135 0.9× 36 0.3× 33 698

Countries citing papers authored by Linglan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Linglan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linglan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Linglan Fu. A scholar is included among the top collaborators of Linglan Fu 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 Linglan Fu. Linglan Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Fu, Linglan & Hongbin Li. (2025). Ionic Crosslinking Improves the Stiffness and Toughness of Protein Hydrogels. PubMed. 1(4). 342–350. 2 indexed citations
2.
Fu, Linglan, Lan Li, Qingyuan Bian, et al.. (2023). Cartilage-like protein hydrogels engineered via entanglement. Nature. 618(7966). 740–747. 257 indexed citations breakdown →
3.
Bian, Qingyuan, Linglan Fu, & Hongbin Li. (2022). Engineering shape memory and morphing protein hydrogels based on protein unfolding and folding. Nature Communications. 13(1). 137–137. 77 indexed citations
4.
Fu, Linglan & Hongbin Li. (2020). Toward Quantitative Prediction of the Mechanical Properties of Tandem Modular Elastomeric Protein-Based Hydrogels. Macromolecules. 53(12). 4704–4710. 12 indexed citations
5.
Wang, Ruidi, Linglan Fu, Junqiu Liu, & Hongbin Li. (2019). Decorating protein hydrogels reversibly enables dynamic presentation and release of functional protein ligands on protein hydrogels. Chemical Communications. 55(84). 12703–12706. 11 indexed citations
6.
7.
Fu, Linglan, Amanda Haage, Na Kong, Guy Tanentzapf, & Hongbin Li. (2019). Dynamic protein hydrogels with reversibly tunable stiffness regulate human lung fibroblast spreading reversibly. Chemical Communications. 55(36). 5235–5238. 37 indexed citations
8.
Fang, Jing, et al.. (2017). Optically controlled reversible protein hydrogels based on photoswitchable fluorescent protein Dronpa. Chemical Communications. 53(100). 13375–13378. 64 indexed citations
9.
Gao, Xiaoye, Jie Fang, Bin Xue, Linglan Fu, & Hongbin Li. (2016). Engineering Protein Hydrogels Using SpyCatcher-SpyTag Chemistry. Biomacromolecules. 17(9). 2812–2819. 81 indexed citations
10.
Kong, Na, Linglan Fu, Qing Peng, & Hongbin Li. (2016). Metal Chelation Dynamically Regulates the Mechanical Properties of Engineered Protein Hydrogels. ACS Biomaterials Science & Engineering. 3(5). 742–749. 34 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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