Sarah M. McGlone
- Infectious Diseases top 5%
- Epidemiology top 10%
- Modeling and Simulation top 2%
- General Health Professions
- Critical Care and Intensive Care Medicine top 5%
- Co-authors
- Rachel R. BaileyBruce Y. LeeShanta M. ZimmerRobert R. MuderDonald S. BurkeYikui TianShawn T. BrownYeohan Song
- Topics
- Influenza Virus Research Studies (6 papers)Viral gastroenteritis research and epidemiology (3 papers)Respiratory viral infections research (3 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Sarah M. McGlone
15 papers receiving 646 citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 340
- Epidemiology 310
- Modeling and Simulation 124
- General Health Professions 77
- Critical Care and Intensive Care Medicine 70
Countries citing papers authored by Sarah M. McGlone
This map shows the geographic impact of Sarah M. McGlone'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 M. McGlone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah M. McGlone more than expected).
Fields of papers citing papers by Sarah M. McGlone
This network shows the impact of papers produced by Sarah M. McGlone. 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 M. McGlone. The network helps show where Sarah M. McGlone may publish in the future.
Co-authorship network of co-authors of Sarah M. McGlone
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah M. McGlone. A scholar is included among the top collaborators of Sarah M. McGlone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah M. McGlone. Sarah M. McGlone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 169 | |
| 3 | 14 | |
| 4 | 89 | |
| 5 | 18 | |
| 6 | 57 | |
| 7 | 24 | |
| 8 | 42 | |
| 9 | Economic model for emergency use authorization of intravenous peramivir. | 11 |
| 10 | Routine pre-cesarean Staphylococcus aureus screening and decolonization: a cost-effectiveness analysis. | 7 |
| 11 | 102 | |
| 12 | 28 | |
| 13 | 27 | |
| 14 | 40 | |
| 15 | 18 |
About Sarah M. McGlone
Sarah M. McGlone is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 15 papers that have together received 661 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Viral gastroenteritis research and epidemiology (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (67 citations), Modeling and Simulation (124 citations) and Infectious Diseases (340 citations). Sarah M. McGlone has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Rachel R. Bailey, Bruce Y. Lee, Shanta M. Zimmer, Robert R. Muder, Donald S. Burke, Yikui Tian, Shawn T. Brown, Yeohan Song, Richard Platt and Taliser R. Avery. Their work appears in journals such as PLoS ONE, American Journal of Public Health and BMC Public Health.
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.