Sarah Won
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Use and Resistance 6
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- Bacterial Identification and Susceptibility Testing 4
- Co-authors
- Karen Lolans (4 shared papers)Mary K. Hayden (4 shared papers)Robert A. Weinstein (3 shared papers)Michael Y. Lin (2 shared papers)L. Silvia Muñoz-Price (2 shared papers)Ali Pirani (1 shared paper)Zena Lapp (1 shared paper)Evan S. Snitkin (2 shared papers)
- Journals
- Open Forum Infectious Diseases (4 papers)Journal of Hospital Infection (1 paper)Science Translational Medicine (1 paper)Infection Control and Hospital Epidemiology (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- United States
In The Last Decade
Sarah Won
9 papers receiving 237 citations
Peers
Comparison fields: 5 of 41
- Applied Microbiology and Biotechnology 82
- Molecular Medicine 192
- Endocrinology 73
- Clinical Biochemistry 80
- Infectious Diseases 48
Countries citing papers authored by Sarah Won
This map shows the geographic impact of Sarah Won'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 Sarah Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Won more than expected).
Fields of papers citing papers by Sarah Won
This network shows the impact of papers produced by Sarah Won. 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 Sarah Won. The network helps show where Sarah Won may publish in the future.
Co-authors
The 23 scholars most cited alongside Sarah Won, 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 | 2010 | 125 | |
| 2 | 2010 | 62 | |
| 3 | 2017 | 40 | |
| 4 | 2019 | 5 | |
| 5 | 2022 | 4 | |
| 6 | 2019 | 2 | |
| 7 | 2017 | 2 | |
| 8 | 2015 | 1 | |
| 9 | 2019 | 1 | |
| 10 | 2023 | 0 |
About Sarah Won
Sarah Won is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry, Molecular Medicine, Pharmacology and General Health Professions, having authored 10 papers that have together received 242 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (6 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antibiotic Resistance in Bacteria (4 papers), Patient Satisfaction in Healthcare (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper), Nosocomial Infections in ICU (1 paper), Central Venous Catheters and Hemodialysis (1 paper) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (82 citations), Molecular Medicine (192 citations), Endocrinology (73 citations), Clinical Biochemistry (80 citations) and Infectious Diseases (48 citations). Sarah Won has collaborated with scholars based in United States. Frequent co-authors include Karen Lolans, Mary K. Hayden, Robert A. Weinstein, Michael Y. Lin, L. Silvia Muñoz-Price, Ali Pirani, Zena Lapp, Evan S. Snitkin, William E. Trick and Nicholas M. Moore. Their work appears in journals such as Open Forum Infectious Diseases, Journal of Hospital Infection, Science Translational Medicine, Infection Control and Hospital Epidemiology and Journal of Clinical 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.