Meghan L. Stack
Impact in
- Health top 2%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in ⓘ
- Health 8
- Vaccine Coverage and Hesitancy 8
-
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Sachiko Ozawa (7 shared papers)Orin S. Levine (3 shared papers)Damian Walker (3 shared papers)David Bishai (3 shared papers)Andrew J. Mirelman (2 shared papers)Louis Niessen (2 shared papers)Yvonne Tam (1 shared paper)Jessica Shearer (1 shared paper)
- Journals
- Vaccine (3 papers)Health Affairs (2 papers)Human Vaccines & Immunotherapeutics (1 paper)PLoS Medicine (1 paper)UNC Libraries (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Meghan L. Stack
8 papers receiving 475 citations
Peers
Comparison fields: 5 of 82
- Health 318
- Modeling and Simulation 74
- Infectious Diseases 152
- Pediatrics, Perinatology and Child Health 100
- Microbiology 30
Countries citing papers authored by Meghan L. Stack
This map shows the geographic impact of Meghan L. Stack'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 Meghan L. Stack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meghan L. Stack more than expected).
Fields of papers citing papers by Meghan L. Stack
This network shows the impact of papers produced by Meghan L. Stack. 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 Meghan L. Stack. The network helps show where Meghan L. Stack may publish in the future.
Co-authors
The 22 scholars most cited alongside Meghan L. Stack, 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 | 2012 | 175 | |
| 2 | 2013 | 109 | |
| 3 | 2011 | 70 | |
| 4 | 2011 | 50 | |
| 5 | 2010 | 41 | |
| 6 | 2015 | 25 | |
| 7 | 2016 | 15 | |
| 8 | Table 10.1, Impact of Vaccination: Children Immunized and Deaths Averted in 73 Gavi-Supported Countries, Based on Strategic Demand Forecast Version 9 | 2016 | 1 |
| 9 | 2020 | 0 |
About Meghan L. Stack
Meghan L. Stack is a scholar working on Health, Infectious Diseases, Hepatology, Modeling and Simulation and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 486 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), COVID-19 epidemiological studies (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Global Maternal and Child Health (2 papers), Bacterial Infections and Vaccines (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Influenza Virus Research Studies (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Health (318 citations), Modeling and Simulation (74 citations), Infectious Diseases (152 citations), Pediatrics, Perinatology and Child Health (100 citations) and Microbiology (30 citations). Meghan L. Stack has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Sachiko Ozawa, Orin S. Levine, Damian Walker, David Bishai, Andrew J. Mirelman, Louis Niessen, Yvonne Tam, Jessica Shearer, Rana Hajjeh and Ingrid K. Friberg. Their work appears in journals such as Vaccine, Health Affairs, Human Vaccines & Immunotherapeutics, PLoS Medicine and UNC Libraries.
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.