Fangyou Yu

5.8k citations
162 papers · 3.6k · h-index 34

Impact in

Papers in

Fangyou Yu

151 papers receiving 3.6k citations

Peers

Fangyou Yu
Comparison fields: 5 of 120
  • Molecular Medicine 1.4k
  • Endocrinology 660
  • Clinical Biochemistry 637
  • Infectious Diseases 1.6k
  • Applied Microbiology and Biotechnology 133
Replace Xiaogang Xu with:
Xiaogang Xu China
Yingchun Xu China
Wladimir Sougakoff France
Tse Hsien Koh Singapore
Bruno Périchon France
Lorena Díaz Colombia
Rafael López-Rojas Spain
Luce Landraud France
Robert Rennie Canada
Ruobing Wang China
Fangyou Yu relative to Xiaogang Xu China Xiaogang Xu's profile →
Citations per field
00.5×1.5×2.2×
Xiaogang Xu · 1×
Citations per year

Countries citing papers authored by Fangyou Yu

Since Specialization
Citations

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

Fields of papers citing papers by Fangyou Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fangyou 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 Fangyou Yu Line = papers co-authored together Fangyou Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012218
2 2018163
3 2017141
4 2008130
5 2017119
6 2015114
7 201878
8 201477
9 201376
10 202269
11 201266
12 201062
13 201958
14 201857
15 201056
16 201353
17 201852
18 201151
19 201548
20 201147

About Fangyou Yu

Fangyou Yu is a scholar working on Infectious Diseases, Molecular Biology, Molecular Medicine, Epidemiology and Clinical Biochemistry, having authored 162 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (60 papers), Antibiotic Resistance in Bacteria (59 papers), Antimicrobial Resistance in Staphylococcus (57 papers), Tuberculosis Research and Epidemiology (38 papers), Mycobacterium research and diagnosis (32 papers), Bacterial Identification and Susceptibility Testing (27 papers), Antimicrobial Peptides and Activities (15 papers) and Pharmaceutical and Antibiotic Environmental Impacts (11 papers). The work is most often cited by research in Molecular Medicine (1.4k citations), Endocrinology (660 citations), Clinical Biochemistry (637 citations), Infectious Diseases (1.6k citations) and Applied Microbiology and Biotechnology (133 citations). Fangyou Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yinjuan Guo, Liangxing Wang, Liang Chen, Barry N. Kreiswirth, Xiaocui Wu, Longhua Hu, Jingnan Lv, Ye Jin, Zhiqiang Qin and Jingye Pan. Their work appears in journals such as Infection and Drug Resistance, Frontiers in Microbiology, BMC Microbiology, Microbiology Spectrum and Frontiers in Cellular and Infection Microbiology.

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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