Hailin Fu

1.0k total citations · 1 hit paper
18 papers, 802 citations indexed

About

Hailin Fu is a scholar working on Biomaterials, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Hailin Fu has authored 18 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomaterials, 10 papers in Organic Chemistry and 8 papers in Molecular Biology. Recurrent topics in Hailin Fu's work include Supramolecular Self-Assembly in Materials (11 papers), Advanced Polymer Synthesis and Characterization (6 papers) and Chemical Synthesis and Analysis (5 papers). Hailin Fu is often cited by papers focused on Supramolecular Self-Assembly in Materials (11 papers), Advanced Polymer Synthesis and Characterization (6 papers) and Chemical Synthesis and Analysis (5 papers). Hailin Fu collaborates with scholars based in United States, China and Netherlands. Hailin Fu's co-authors include Yao Lin, Jianjun Cheng, Ziyuan Song, Ryan Baumgartner, Xu Wang, Ruibo Wang, Yingchun Xia, Chongyi Chen, Tianrui Xue and Lichen Yin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Hailin Fu

18 papers receiving 801 citations

Hit Papers

Supramolecular polymers form tactoids through liquid–liqu... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hailin Fu United States 12 440 387 369 143 112 18 802
Ryan Baumgartner United States 13 511 1.2× 439 1.1× 366 1.0× 148 1.0× 155 1.4× 19 897
Xinfeng Tao China 20 365 0.8× 425 1.1× 340 0.9× 259 1.8× 58 0.5× 32 845
Emma M. Pelegri-O’Day United States 8 298 0.7× 339 0.9× 391 1.1× 72 0.5× 59 0.5× 13 796
Meike N. Leiske Germany 17 293 0.7× 305 0.8× 179 0.5× 96 0.7× 178 1.6× 44 674
Lily Yun Lin United States 10 233 0.5× 263 0.7× 106 0.3× 109 0.8× 97 0.9× 11 522
Sylvain Catrouillet France 13 394 0.9× 417 1.1× 199 0.5× 148 1.0× 94 0.8× 29 615
Sunting Xuan United States 18 276 0.6× 293 0.8× 453 1.2× 302 2.1× 71 0.6× 40 948
Angela P. Blum United States 14 338 0.8× 352 0.9× 485 1.3× 207 1.4× 90 0.8× 17 1.1k
Benoit Louage Belgium 18 415 0.9× 284 0.7× 249 0.7× 101 0.7× 158 1.4× 33 828
En‐Wei Lin United States 8 300 0.7× 329 0.9× 430 1.2× 95 0.7× 58 0.5× 10 871

Countries citing papers authored by Hailin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hailin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailin Fu

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

All Works

18 of 18 papers shown
1.
Fu, Hailin, Hui Liu, Pengfei Li, et al.. (2025). Polymerization-induced self-assembly of N-substituted glycine N-carboxyanhydrides in selected solvents. European Polymer Journal. 225. 113720–113720. 3 indexed citations
2.
Fu, Hailin, Jingyi Huang, Joost J. B. van der Tol, et al.. (2024). Supramolecular polymers form tactoids through liquid–liquid phase separation. Nature. 626(8001). 1011–1018. 73 indexed citations breakdown →
3.
Wang, Wanying, Hailin Fu, Yao Lin, Jianjun Cheng, & Ziyuan Song. (2023). Cooperative Covalent Polymerization of N-carboxyanhydrides: from Kinetic Studies to Efficient Synthesis of Polypeptide Materials. Accounts of Materials Research. 4(7). 604–615. 23 indexed citations
4.
Lü, Jianhua, et al.. (2022). Room-Temperature Grafting from Synthesis of Protein–Polydisulfide Conjugates via Aggregation-Induced Polymerization. Journal of the American Chemical Society. 144(34). 15709–15717. 36 indexed citations
5.
Fu, Hailin, Ryan Baumgartner, Ziyuan Song, et al.. (2022). Generalized Model of Cooperative Covalent Polymerization: Connecting the Supramolecular Binding Interactions with the Catalytic Behavior. Macromolecules. 55(6). 2041–2050. 6 indexed citations
6.
Xia, Yingchun, Ziyuan Song, Zhengzhong Tan, et al.. (2021). Accelerated polymerization of N-carboxyanhydrides catalyzed by crown ether. Nature Communications. 12(1). 732–732. 76 indexed citations
7.
Fu, Hailin, Tianrui Xue, Ziyuan Song, et al.. (2021). Modeling and Designing Particle-Regulated Amyloid-like Assembly of Synthetic Polypeptides in Aqueous Solution. Biomacromolecules. 23(1). 196–209. 7 indexed citations
8.
Fu, Hailin, et al.. (2021). Kinetic Study on Enzymatic Hydrolysis of Cellulose in an Open, Inhibition-Free System. Langmuir. 37(17). 5180–5192. 7 indexed citations
9.
Lu, Xueguang, Hailin Fu, Kuo‐Chih Shih, et al.. (2020). DNA-Mediated Step-Growth Polymerization of Bottlebrush Macromonomers. Journal of the American Chemical Society. 142(23). 10297–10301. 18 indexed citations
10.
Song, Ziyuan, Hailin Fu, Ryan Baumgartner, et al.. (2019). Enzyme-mimetic self-catalyzed polymerization of polypeptide helices. Nature Communications. 10(1). 5470–5470. 60 indexed citations
11.
Song, Ziyuan, Hailin Fu, Jiang Wang, et al.. (2019). Synthesis of polypeptides via bioinspired polymerization of in situ purified N -carboxyanhydrides. Proceedings of the National Academy of Sciences. 116(22). 10658–10663. 108 indexed citations
12.
Chen, Chongyi, Hailin Fu, Ryan Baumgartner, et al.. (2019). Proximity-Induced Cooperative Polymerization in “Hinged” Helical Polypeptides. Journal of the American Chemical Society. 141(22). 8680–8683. 66 indexed citations
13.
Song, Ziyuan, Hailin Fu, Ruibo Wang, et al.. (2018). Secondary structures in synthetic polypeptides from N-carboxyanhydrides: design, modulation, association, and material applications. Chemical Society Reviews. 47(19). 7401–7425. 130 indexed citations
14.
Baumgartner, Ryan, Hailin Fu, Ziyuan Song, Yao Lin, & Jianjun Cheng. (2017). Cooperative polymerization of α-helices induced by macromolecular architecture. Nature Chemistry. 9(7). 614–622. 143 indexed citations
15.
Yuan, Ren, Hailin Fu, Ryan Baumgartner, et al.. (2017). Folding Cooperativity of Synthetic Polypeptides with or without “Tertiary” Interactions. ACS Macro Letters. 6(7). 733–737. 6 indexed citations
16.
Xia, Hongwei, Hailin Fu, Yanfeng Zhang, et al.. (2017). Supramolecular Assembly of Comb-like Macromolecules Induced by Chemical Reactions that Modulate the Macromolecular Interactions In Situ. Journal of the American Chemical Society. 139(32). 11106–11116. 22 indexed citations
17.
Yuan, Ren, Ryan Baumgartner, Hailin Fu, et al.. (2017). Revisiting the Helical Cooperativity of Synthetic Polypeptides in Solution. Biomacromolecules. 18(8). 2324–2332. 11 indexed citations
18.
Zhang, Yuting, Wanfu Ma, Iman Noshadi, et al.. (2016). Enzymatic Activities of Polycatalytic Complexes with Nonprocessive Cellulases Immobilized on the Surface of Magnetic Nanoparticles. Langmuir. 32(44). 11573–11579. 7 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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