Maya Monroe
Impact in
-
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
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- COVID-19 epidemiological studies
Papers in
- Epidemiology 12
- Influenza Virus Research Studies 11
- Respiratory viral infections research 4
- Pneumonia and Respiratory Infections 1
-
- COVID-19 epidemiological studies 2
- Co-authors
- William Schaffner (9 shared papers)Nancy M. Bennett (9 shared papers)Ann Thomas (10 shared papers)Evan J. Anderson (10 shared papers)Shikha Garg (8 shared papers)Ruth Lynfield (7 shared papers)Laurie M. Billing (4 shared papers)Alissa O’Halloran (1 shared paper)
- Journals
- Open Forum Infectious Diseases (6 papers)Clinical Infectious Diseases (2 papers)Influenza and Other Respiratory Viruses (1 paper)Journal of the Pediatric Infectious Diseases Society (1 paper)Annals of Internal Medicine (1 paper)
- Partner nations
- United StatesKenyaJapan
In The Last Decade
Maya Monroe
11 papers receiving 206 citations
Peers
Comparison fields: 5 of 36
- Epidemiology 157
- Modeling and Simulation 10
- Health 16
- Infectious Diseases 28
- Cardiology and Cardiovascular Medicine 14
Countries citing papers authored by Maya Monroe
This map shows the geographic impact of Maya Monroe'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 Maya Monroe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Monroe more than expected).
Fields of papers citing papers by Maya Monroe
This network shows the impact of papers produced by Maya Monroe. 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 Maya Monroe. The network helps show where Maya Monroe may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Monroe, 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 | 2020 | 90 | |
| 2 | 2015 | 52 | |
| 3 | 2016 | 27 | |
| 4 | 2022 | 15 | |
| 5 | 2018 | 12 | |
| 6 | 2013 | 7 | |
| 7 | 2020 | 2 | |
| 8 | 2016 | 2 | |
| 9 | 2020 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 0 |
About Maya Monroe
Maya Monroe is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, General Health Professions and Agronomy and Crop Science, having authored 12 papers that have together received 210 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Respiratory viral infections research (4 papers), COVID-19 epidemiological studies (2 papers), Diabetes and associated disorders (1 paper), Homelessness and Social Issues (1 paper), Animal Disease Management and Epidemiology (1 paper), Pneumonia and Respiratory Infections (1 paper) and Infectious Encephalopathies and Encephalitis (1 paper). The work is most often cited by research in Epidemiology (157 citations), Modeling and Simulation (10 citations), Health (16 citations), Infectious Diseases (28 citations) and Cardiology and Cardiovascular Medicine (14 citations). Maya Monroe has collaborated with scholars based in United States, Kenya and Japan. Frequent co-authors include William Schaffner, Nancy M. Bennett, Ann Thomas, Evan J. Anderson, Shikha Garg, Ruth Lynfield, Laurie M. Billing, Alissa O’Halloran, James Meek and Eric J. Chow. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, Influenza and Other Respiratory Viruses, Journal of the Pediatric Infectious Diseases Society and Annals of 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.