Yu Fu

543 total citations · 1 hit paper
44 papers, 344 citations indexed

About

Yu Fu is a scholar working on Molecular Biology, Plant Science and Materials Chemistry. According to data from OpenAlex, Yu Fu has authored 44 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Materials Chemistry. Recurrent topics in Yu Fu's work include Meat and Animal Product Quality (4 papers), Mycotoxins in Agriculture and Food (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). Yu Fu is often cited by papers focused on Meat and Animal Product Quality (4 papers), Mycotoxins in Agriculture and Food (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). Yu Fu collaborates with scholars based in China, United States and United Kingdom. Yu Fu's co-authors include Yi Sun, Liang Ma, Hongjie Dai, Yuhao Zhang, Qiya Yang, Solairaj Dhanasekaran, Hongyin Zhang, Michael N. Routledge, Esa Abiso Godana and Guohua Xu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and ACS Nano.

In The Last Decade

Yu Fu

38 papers receiving 337 citations

Hit Papers

Light-Switch Electrochemiluminescence-Driven microfluidic... 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Light-Switch Electrochemiluminescence-Driven microfluidic sensor for rapid and sensitive detection of Mpox virus
    2024 43 citations Yu Fu, Xu Chen et al. Chemical Engineering Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Fu China 10 93 53 51 49 47 44 344
Wenhua Miao China 12 104 1.1× 62 1.2× 24 0.5× 122 2.5× 40 0.9× 20 474
Yan Cao China 16 113 1.2× 109 2.1× 146 2.9× 18 0.4× 43 0.9× 32 503
Bruno C. da Silva Brazil 11 42 0.5× 93 1.8× 75 1.5× 17 0.3× 89 1.9× 14 423
Chenxing Liu China 16 137 1.5× 82 1.5× 132 2.6× 21 0.4× 66 1.4× 27 542
Sieun Kim South Korea 10 114 1.2× 63 1.2× 87 1.7× 18 0.4× 25 0.5× 27 387
Shutong Zhang China 11 53 0.6× 29 0.5× 19 0.4× 43 0.9× 25 0.5× 35 271
Nanik Purwanti Indonesia 10 36 0.4× 227 4.3× 30 0.6× 34 0.7× 65 1.4× 45 380

Countries citing papers authored by Yu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Fu. A scholar is included among the top collaborators of Yu 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 Yu Fu. Yu Fu 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.
Li, Qingchao, Fengxian Ma, Pu Wang, et al.. (2025). Photoreduction of Fe(III) mediated by structurally different plant-related organic compounds: An EPR study. Chinese Chemical Letters. 37(2). 111281–111281. 1 indexed citations
3.
Bai, Shandi, Pu Wang, Chunxiao Xu, et al.. (2025). Dimethyl sulfoxide as a qualitative EPR indicator of sulfate radical in advanced oxidation processes. Water Research. 289(Pt B). 125011–125011.
4.
Xu, Yi, Fangjie Wan, Yu Fu, et al.. (2025). Surface plasticizing SiO2 nanoparticles for reinforced fluorine rubber serving in wide low-temperature range. Applied Surface Science. 711. 163970–163970.
5.
Yan, Yifan, Yu Fu, Jiangrong Yang, et al.. (2025). Electrocatalytic Upcycling of Polyethylene Terephthalate Waste to Biodegradable Polymer Coupled with Hydrogen Production at Ampere-Level Current Density. CCS Chemistry. 8(2). 974–988. 6 indexed citations
6.
Fu, Yu, Maëlle Deshoux, Bastien Cayrol, et al.. (2025). Stylet cuticular gene-directed mutagenesis impairs the pea aphid vector capacity to transmit a plant virus. PLoS Pathogens. 21(5). e1013192–e1013192. 1 indexed citations
7.
Fu, Yu, Chao Ye, Leitao Cao, et al.. (2025). Deep eutectic solvent infused silk fibroin gels for flexible touch sensing. Journal of Materials Chemistry C. 13(36). 18894–18904. 1 indexed citations
8.
Xia, Hui, et al.. (2024). FedNor: A robust training framework for federated learning based on normal aggregation. Information Sciences. 684. 121274–121274. 7 indexed citations
9.
Qiao, Liang, Yu Fu, Jing Xu, et al.. (2024). Puerarin ameliorates colitis by direct suppression of macrophage M1 polarization in DSS mice. Phytomedicine. 135. 156048–156048. 25 indexed citations
10.
Fu, Yu, Xu Chen, Wenlu Song, et al.. (2024). Light-Switch Electrochemiluminescence-Driven microfluidic sensor for rapid and sensitive detection of Mpox virus. Chemical Engineering Journal. 498. 154930–154930. 43 indexed citations breakdown →
11.
Fu, Yu, et al.. (2024). Projection-based eigenproblem solver of large-scale viscoelastically damped systems via an original-dimension subspace. Mechanical Systems and Signal Processing. 222. 111759–111759.
12.
Fu, Yu, et al.. (2024). Study of viscosity reduction mechanism of oilfield polymer solution by spectroscopy method. Journal of Molecular Liquids. 414. 126156–126156. 4 indexed citations
13.
Zhang, Lili, Yifei Li, Chang Li, et al.. (2024). Full-Length Immune Repertoire Reconstruction and Profiling at the Transcriptome Level Using Long-Read Sequencing. Clinical Chemistry. 71(2). 274–285.
14.
15.
Zhang, Yishu, Hailiang Wang, Yu Fu, et al.. (2024). All-2D-Materials Subthreshold-Free Field-Effect Transistor with Near-Ideal Switching Slope. ACS Nano. 18(31). 20236–20246. 9 indexed citations
16.
Fu, Yu, et al.. (2024). Ultra‐Strong Protein‐Based Hydrogels via Promoting Intermolecular Entanglement of the Amorphous Region. Small. 20(48). e2403376–e2403376. 8 indexed citations
17.
Liu, Dong, Xiaomin Wang, Junqi Kuang, et al.. (2024). Engineering mouse cell fate controller by rational design. Nature Communications. 15(1). 6200–6200. 1 indexed citations
18.
Fu, Yu, et al.. (2024). Rampant intraspecific variation of plastid genomes in Gentiana section Chondrophyllae. Ecology and Evolution. 14(9). e70239–e70239. 4 indexed citations
19.
Li, Xiaomei, Likun Ren, Yang� Yang, et al.. (2021). Application of Calcium Chloride-Sodium Alginate to Improve the Texture of Quick-Frozen Heracleum moellendorffii. Journal of Food Quality. 2021. 1–11. 1 indexed citations
20.
Sun, Yi, Liang Ma, Yu Fu, Hongjie Dai, & Yuhao Zhang. (2021). The improvement of gel and physicochemical properties of porcine myosin under low salt concentrations by pulsed ultrasound treatment and its mechanism. Food Research International. 141. 110056–110056. 58 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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