Yan Q. Xiong
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities 13
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 15
- Infectious Diseases top 0.5%
- Antimicrobial Resistance in Staphylococcus 66
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing 23
- Molecular Biology top 5%
- Bacterial biofilms and quorum sensing 19
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- Infective Endocarditis Diagnosis and Management 33
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- Streptococcal Infections and Treatments 22
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- Antibiotics Pharmacokinetics and Efficacy 13
- Co-authors
- Arnold S. BayerMichael R. YeamanSoo‐Jin YangNannette Y. YountWessam AbdelhadyTiffanny JonesKati SeidlAmbrose L. Cheung
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Yan Q. Xiong
106 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 114
- Microbiology 834
- Molecular Medicine 437
- Infectious Diseases 1.6k
- Clinical Biochemistry 488
- Molecular Biology 1.6k
Countries citing papers authored by Yan Q. Xiong
This map shows the geographic impact of Yan Q. Xiong'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 Yan Q. Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Q. Xiong more than expected).
Fields of papers citing papers by Yan Q. Xiong
This network shows the impact of papers produced by Yan Q. Xiong. 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 Yan Q. Xiong. The network helps show where Yan Q. Xiong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Q. Xiong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 19 | |
| 10 | 2019 | 56 | |
| 11 | 2019 | 18 | |
| 12 | 2019 | 30 | |
| 13 | 2018 | 8 | |
| 14 | 2015 | 44 | |
| 15 | 2013 | 33 | |
| 16 | 2013 | 32 | |
| 17 | 2012 | 9 | |
| 18 | 2010 | 48 | |
| 19 | 2009 | 5 | |
| 20 | 2004 | 85 |
About Yan Q. Xiong
Yan Q. Xiong is a scholar working on Infectious Diseases, Clinical Biochemistry and Molecular Medicine, having authored 114 papers that have together received 3.3k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (66 papers), Infective Endocarditis Diagnosis and Management (33 papers), Bacterial Identification and Susceptibility Testing (23 papers), Streptococcal Infections and Treatments (22 papers), Bacterial biofilms and quorum sensing (19 papers), Antibiotic Resistance in Bacteria (15 papers), Antimicrobial Peptides and Activities (13 papers) and Antibiotics Pharmacokinetics and Efficacy (13 papers). The work is most often cited by research in Microbiology (834 citations), Molecular Medicine (437 citations) and Infectious Diseases (1.6k citations). Yan Q. Xiong has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Arnold S. Bayer, Michael R. Yeaman, Soo‐Jin Yang, Nannette Y. Yount, Wessam Abdelhady, Tiffanny Jones, Kati Seidl, Ambrose L. Cheung, Liang Li and Paul M. Sullam. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.