Xiling Yuan
Impact in
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Antifungal resistance and susceptibility
-
- Streptococcal Infections and Treatments
- Neonatal and Maternal Infections
Papers in
-
- Tuberculosis Research and Epidemiology 1
- Co-authors
- John Russell Thompson (2 shared papers)Mohamed El-Sherbeini (3 shared papers)Kenny K. Wong (3 shared papers)B. Azzolina (2 shared papers)Yejun Tan (1 shared paper)Joel P. Berger (1 shared paper)Eric S. Muise (1 shared paper)James Mu (1 shared paper)
- Journals
- Analytical Chemistry (2 papers)Microbiology (1 paper)Molecular Pharmacology (1 paper)Neurology and Therapy (1 paper)The AAPS Journal (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Xiling Yuan
12 papers receiving 1.3k citations
Xiling Yuan's Hit Papers
Peers
Comparison fields: 5 of 73
- Infectious Diseases 571
- Public Health, Environmental and Occupational Health 601
- Clinical Biochemistry 100
- Molecular Medicine 51
- Epidemiology 299
Countries citing papers authored by Xiling Yuan
This map shows the geographic impact of Xiling Yuan'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 Xiling Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiling Yuan more than expected).
Fields of papers citing papers by Xiling Yuan
This network shows the impact of papers produced by Xiling Yuan. 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 Xiling Yuan. The network helps show where Xiling Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiling Yuan, 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 | Complete genome sequence of an M1 strain of Streptococcus pyogenes Hit paper breakdown → | 2001 | 806 |
| 2 | 2008 | 256 | |
| 3 | 1999 | 168 | |
| 4 | 1999 | 47 | |
| 5 | 2024 | 17 | |
| 6 | 2001 | 17 | |
| 7 | 2017 | 16 | |
| 8 | 1999 | 15 | |
| 9 | 1998 | 14 | |
| 10 | 2007 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2015 | 11 |
About Xiling Yuan
Xiling Yuan is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Medicine, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Fungal Infections and Studies (1 paper), Tuberculosis Research and Epidemiology (1 paper), Mass Spectrometry Techniques and Applications (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Analytical Chemistry and Chromatography (1 paper) and Analytical chemistry methods development (1 paper). The work is most often cited by research in Infectious Diseases (571 citations), Public Health, Environmental and Occupational Health (601 citations), Clinical Biochemistry (100 citations), Molecular Medicine (51 citations) and Epidemiology (299 citations). Xiling Yuan has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include John Russell Thompson, Mohamed El-Sherbeini, Kenny K. Wong, B. Azzolina, Yejun Tan, Joel P. Berger, Eric S. Muise, James Mu, Myra Berman Kurtz and John R. Perfect. Their work appears in journals such as Analytical Chemistry, Microbiology, Molecular Pharmacology, Neurology and Therapy and The AAPS Journal.
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.