Fei Yu

1.8k citations
85 papers · 1.4k · h-index 23

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 13
    • Advanced biosensing and bioanalysis techniques 5
    • Angiogenesis and VEGF in Cancer 4
    • Carbohydrate Chemistry and Synthesis 13

Fei Yu

79 papers receiving 1.4k citations

Peers

Fei Yu
Comparison fields: 5 of 139
  • Rheumatology 190
  • Organic Chemistry 350
  • Cell Biology 196
  • Biomaterials 125
  • Molecular Biology 592
Replace Xuan Liu with:
Xuan Liu China
Minjung Song South Korea
Panghu Zhou China
Antonello Petrella Italy
Ólafur E. Sigurjónsson Iceland
Chunhong Li China
Yu Lu China
Yaqin Liu China
Toshio Nishiyama Japan
Fei Yu relative to Xuan Liu China Xuan Liu's profile →
Citations per field
00.5×4.6×
Xuan Liu · 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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018130
2 201092
3 201855
4 201951
5 201844
6 201742
7 201942
8 202039
9 201934
10 201434
11 201434
12 200334
13 200731
14 201830
15 201527
16 201627
17 201826
18 201726
19 202226
20 202026

About Fei Yu

Fei Yu is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Materials Chemistry and Rheumatology, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (13 papers), Glycosylation and Glycoproteins Research (13 papers), Osteoarthritis Treatment and Mechanisms (8 papers), Proteoglycans and glycosaminoglycans research (8 papers), Advanced biosensing and bioanalysis techniques (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Angiogenesis and VEGF in Cancer (4 papers) and Advanced Nanomaterials in Catalysis (4 papers). The work is most often cited by research in Rheumatology (190 citations), Organic Chemistry (350 citations), Cell Biology (196 citations), Biomaterials (125 citations) and Molecular Biology (592 citations). Fei Yu has collaborated with scholars based in China, United States and Libya. Frequent co-authors include Hien M. Nguyen, Enoch A. Mensah, Qing Jiang, Eric T. Sletten, James H. Prestegard, Lan Li, Xingsong Wang, Liya Zhu, H. Bernhard Schlegel and Dongquan Shi. Their work appears in journals such as European Journal of Pharmaceutical Sciences, Biomedical Chromatography, Analytical and Bioanalytical Chemistry, Microchimica Acta and Chemical Communications.

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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