Xiaohua Ye

93 papers receiving 1.4k citations

Peers

Xiaohua Ye
Comparison fields: 5 of 147
  • Applied Microbiology and Biotechnology 44
  • Clinical Biochemistry 143
  • Infectious Diseases 376
  • Molecular Medicine 74
  • Microbiology 76
Replace Hee Jung Choi with:
Hee Jung Choi South Korea
Avi Peretz Israel
Svend Ellermann‐Eriksen Denmark
Stephen Young United States
Giovanni Boccia Italy
Madeleine Dulon Germany
Robert M. Rakita United States
Astra Vitkauskienė Lithuania
Andrew Conway Morris United Kingdom
Silvio D. Brugger Switzerland
Xiaohua Ye relative to Hee Jung Choi South Korea Hee Jung Choi's profile →
Citations per field
00.5×1.6×
Hee Jung Choi · 1×
Citations per year

Countries citing papers authored by Xiaohua Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201458
3 201351
4 201350
5 201444
6 201736
7 201636
8 201636
9 201636
10 200634
11 201832
12 201530
13 201429
14 201329
15 201527
16 201526
17 201526
18 201726
19 201624
20 201923

About Xiaohua Ye

Xiaohua Ye is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health and Clinical Biochemistry, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (28 papers), Bacterial biofilms and quorum sensing (15 papers), Streptococcal Infections and Treatments (14 papers), Pneumonia and Respiratory Infections (13 papers), Bacterial Identification and Susceptibility Testing (12 papers), Air Quality and Health Impacts (8 papers), Neonatal and Maternal Infections (8 papers) and Smoking Behavior and Cessation (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (44 citations), Clinical Biochemistry (143 citations), Infectious Diseases (376 citations), Molecular Medicine (74 citations) and Microbiology (76 citations). Xiaohua Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhenjiang Yao, Sidong Chen, Sidong Chen, Jinjian Fu, Yanhui Gao, Yang Peng, Shunming Li, Yi Yang, Yi Yang and Weidong Liu. Their work appears in journals such as PLoS ONE, Infection and Drug Resistance, American Journal of Infection Control, International Journal of Environmental Research and Public Health and Vaccine.

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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