Megan C. Lindley
- Health top 0.1%
- Vaccine Coverage and Hesitancy 104
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 12
- Epidemiology top 1%
- Influenza Virus Research Studies 68
- Respiratory viral infections research 29
- Hepatitis B Virus Studies 17
- Cervical Cancer and HPV Research 13
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology 16
- Microbiology top 2%
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- Hepatitis Viruses Studies and Epidemiology 14
- Co-authors
- Walter W. WilliamsPeng-Jun LuCarolyn B. BridgesFaruque AhmedJames A. SingletonPascale WortleyLori A. CraneAllison Kempe
- Journals
- Vaccine (18 papers)MMWR Morbidity and Mortality Weekly Report (18 papers)American Journal of Preventive Medicine (17 papers)
- Partner nations
- United StatesKenyaFrance
In The Last Decade
Megan C. Lindley
141 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Health 2.5k
- Modeling and Simulation 395
- Epidemiology 2.4k
- Infectious Diseases 898
- Microbiology 228
Countries citing papers authored by Megan C. Lindley
This map shows the geographic impact of Megan C. Lindley'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 Megan C. Lindley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan C. Lindley more than expected).
Fields of papers citing papers by Megan C. Lindley
This network shows the impact of papers produced by Megan C. Lindley. 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 Megan C. Lindley. The network helps show where Megan C. Lindley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Megan C. Lindley, 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 | 2023 | 2 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 14 | |
| 5 | 2021 | 4 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 35 | |
| 9 | 2016 | 47 | |
| 10 | 2016 | 36 | |
| 11 | 2016 | 5 | |
| 12 | 2015 | 3 | |
| 13 | 2015 | 69 | |
| 14 | Influenza vaccination performance measurement among acute care hospital-based health care personnel--United States, 2013-14 influenza season. | 2014 | 12 |
| 15 | 2014 | 7 | |
| 16 | 2012 | 84 | |
| 17 | 2009 | 22 | |
| 18 | 2008 | 5 | |
| 19 | 2007 | 12 | |
| 20 | 2006 | 3 |
About Megan C. Lindley
Megan C. Lindley is a scholar working on Health, Epidemiology and Modeling and Simulation, having authored 143 papers that have together received 3.8k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (104 papers), Influenza Virus Research Studies (68 papers), Respiratory viral infections research (29 papers), Hepatitis B Virus Studies (17 papers), Viral gastroenteritis research and epidemiology (16 papers), Hepatitis Viruses Studies and Epidemiology (14 papers), Cervical Cancer and HPV Research (13 papers) and COVID-19 epidemiological studies (12 papers). The work is most often cited by research in Health (2.5k citations), Modeling and Simulation (395 citations) and Epidemiology (2.4k citations). Megan C. Lindley has collaborated with scholars based in United States, Kenya and France. Frequent co-authors include Walter W. Williams, Peng-Jun Lu, Carolyn B. Bridges, Faruque Ahmed, James A. Singleton, Pascale Wortley, Lori A. Crane, Allison Kempe, Laura P. Hurley and Brenda L. Beaty. Their work appears in journals such as Vaccine, MMWR Morbidity and Mortality Weekly Report, American Journal of Preventive Medicine, PEDIATRICS and Infection Control and Hospital Epidemiology.
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.