Fei Yu

1.8k citations
86 papers · 1.5k · h-index 24

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 13
    • Advanced biosensing and bioanalysis techniques 5
    • Carbohydrate Chemistry and Synthesis 13

Fei Yu

80 papers receiving 1.5k citations

Peers

Fei Yu
Comparison fields: 5 of 137
  • Organic Chemistry 379
  • Rheumatology 170
  • Cell Biology 197
  • Biomaterials 126
  • Molecular Medicine 44
Replace An Hong with:
An Hong China
Chunhong Li China
Peishan Li China
Toshio Nishiyama Japan
Yu Lu China
Andrea Heinz Denmark
Esmeralda Carrillo Spain
Anjing Chen China
Chenchen Yang China
Yi Guo China
Fei Yu relative to An Hong China An Hong's profile →
Citations per field
00.5×6.1×
An Hong · 1×
Citations per year

Countries citing papers authored by Fei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fei Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Yu Line = papers co-authored together Fei Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018142
2 2010101
3 201856
4 201955
5 201847
6 201944
7 201743
8 202039
9 201436
10 201436
11 201934
12 200334
13 200733
14 201831
15 201228
16 201528
17 201828
18 202227
19 201727
20 201827

About Fei Yu

Fei Yu is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Carbohydrate Chemistry and Synthesis (13 papers), Proteoglycans and glycosaminoglycans research (7 papers), Mass Spectrometry Techniques and Applications (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Advanced Nanomaterials in Catalysis (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Organic Chemistry (379 citations), Rheumatology (170 citations), Cell Biology (197 citations), Biomaterials (126 citations) and Molecular Medicine (44 citations). Fei Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hien M. Nguyen, Enoch A. Mensah, Qing Jiang, James H. Prestegard, Eric T. Sletten, Lan Li, H. Bernhard Schlegel, Liya Zhu, Xingsong Wang and Dongquan Shi. Their work appears in journals such as European Journal of Pharmaceutical Sciences, Biomedical Chromatography, Journal of Orthopaedic Translation, Journal of the American Chemical Society and Analytical Chemistry.

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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