David X. Li
Impact in
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- Antibiotic Use and Resistance
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
Papers in
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- Antibiotic Use and Resistance 3
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- Bacterial Identification and Susceptibility Testing 2
- Co-authors
- Pranita D. TammaSara E. CosgroveEdina AvdicKathryn DzintarsKaren C. CarrollWilliam H. WestraCarole FakhryDavid W. Eisele
- Journals
- Cancer (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)Journal of Biomechanical Engineering (1 paper)Infection Control and Hospital Epidemiology (1 paper)JAMA Internal Medicine (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
David X. Li
9 papers receiving 589 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Applied Microbiology and Biotechnology 227
- Clinical Biochemistry 139
- Critical Care and Intensive Care Medicine 70
- Otorhinolaryngology 46
- Toxicology 32
Countries citing papers authored by David X. Li
This map shows the geographic impact of David X. Li'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 David X. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David X. Li more than expected).
Fields of papers citing papers by David X. Li
This network shows the impact of papers produced by David X. Li. 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 David X. Li. The network helps show where David X. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside David X. Li, 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 | 2022 | 6 | |
| 2 | 2017 | 46 | |
| 3 | 2017 | 31 | |
| 4 | Association of Adverse Events With Antibiotic Use in Hospitalized Patients Hit paper breakdown → | 2017 | 472 |
| 5 | 2017 | 2 | |
| 6 | 2016 | 9 | |
| 7 | 2016 | 27 | |
| 8 | Credibility Models: An Estimating FunctJ.on Approach | 1995 | 1 |
| 9 | Immunization Measures for Life Contingencies | 1994 | 4 |
About David X. Li
David X. Li is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry, Toxicology, Otorhinolaryngology and Molecular Medicine, having authored 9 papers that have together received 598 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Automotive and Human Injury Biomechanics (1 paper), Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper), Pneumonia and Respiratory Infections (1 paper), Traumatic Ocular and Foreign Body Injuries (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (227 citations), Clinical Biochemistry (139 citations), Critical Care and Intensive Care Medicine (70 citations), Otorhinolaryngology (46 citations) and Toxicology (32 citations). David X. Li has collaborated with scholars based in United States and Canada. Frequent co-authors include Pranita D. Tamma, Sara E. Cosgrove, Edina Avdic, Kathryn Dzintars, Karen C. Carroll, William H. Westra, Carole Fakhry, David W. Eisele, Linda X. Yin and Christine G. Gourin. Their work appears in journals such as Cancer, Diagnostic Microbiology and Infectious Disease, Journal of Biomechanical Engineering, Infection Control and Hospital Epidemiology and JAMA Internal Medicine.
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.