Sarah Won
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
-
- Antibiotic Use and Resistance
Papers in
-
- Antibiotic Use and Resistance 5
-
- Antibiotic Resistance in Bacteria 4
- Co-authors
- Mary K. Hayden (4 shared papers)Karen Lolans (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)Evan S. Snitkin (2 shared papers)Zena Lapp (1 shared paper)
- Journals
- Open Forum Infectious Diseases (4 papers)Journal of Clinical Microbiology (1 paper)Infection Control and Hospital Epidemiology (1 paper)Journal of Hospital Infection (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Sarah Won
10 papers receiving 252 citations
Peers
Comparison fields: 5 of 37
- Molecular Medicine 185
- Applied Microbiology and Biotechnology 52
- Endocrinology 57
- Clinical Biochemistry 62
- Critical Care and Intensive Care Medicine 10
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 24 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 | 133 | |
| 2 | 2010 | 64 | |
| 3 | 2017 | 41 | |
| 4 | 2022 | 5 | |
| 5 | 2019 | 5 | |
| 6 | 2017 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2010 | 2 | |
| 9 | 2015 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2023 | 0 |
About Sarah Won
Sarah Won is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Clinical Biochemistry, Infectious Diseases and Epidemiology, having authored 11 papers that have together received 257 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (5 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Tuberculosis Research and Epidemiology (1 paper), Patient Satisfaction in Healthcare (1 paper), Mycobacterium research and diagnosis (1 paper), Toxoplasma gondii Research Studies (1 paper) and Drug-Induced Adverse Reactions (1 paper). The work is most often cited by research in Molecular Medicine (185 citations), Applied Microbiology and Biotechnology (52 citations), Endocrinology (57 citations), Clinical Biochemistry (62 citations) and Critical Care and Intensive Care Medicine (10 citations). Sarah Won has collaborated with scholars based in United States. Frequent co-authors include Mary K. Hayden, Karen Lolans, Robert A. Weinstein, Michael Y. Lin, L. Silvia Muñoz-Price, Ali Pirani, Evan S. Snitkin, Zena Lapp, Nicholas M. Moore and David N. Schwartz. Their work appears in journals such as Open Forum Infectious Diseases, Journal of Clinical Microbiology, Infection Control and Hospital Epidemiology, Journal of Hospital Infection and Science Translational 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.