Megha D. Shah
- Health top 1%
- Vaccine Coverage and Hesitancy 8
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 3
- Obstetrics and Gynecology top 5%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 6
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- Ethics and Legal Issues in Pediatric Healthcare 2
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- Misinformation and Its Impacts 2
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- COVID-19 and Mental Health 2
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- COVID-19 and healthcare impacts 2
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- Pharmacovigilance and Adverse Drug Reactions 1
- Co-authors
- Peter G. SzilagyiArie KapteynKyla ThomasSitaram VangalaNathalie VizuetaYan CuiRashmi ShetgiriCraig R. Fox
- Partner nations
- United StatesIndia
In The Last Decade
Megha D. Shah
17 papers receiving 666 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Health 543
- Modeling and Simulation 113
- Obstetrics and Gynecology 122
- Infectious Diseases 285
- Pediatrics, Perinatology and Child Health 97
Countries citing papers authored by Megha D. Shah
This map shows the geographic impact of Megha D. Shah'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 Megha D. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megha D. Shah more than expected).
Fields of papers citing papers by Megha D. Shah
This network shows the impact of papers produced by Megha D. Shah. 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 Megha D. Shah. The network helps show where Megha D. Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Megha D. Shah, 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 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 15 | |
| 6 | Parents’ Intentions and Perceptions About COVID-19 Vaccination for Their Children: Results From a National Surveybreakdown → | 2021 | 210 |
| 7 | 2021 | 34 | |
| 8 | 2021 | 98 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 10 | |
| 14 | 2020 | 204 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 0 | |
| 17 | 2019 | 9 | |
| 18 | 2013 | 11 |
About Megha D. Shah
Megha D. Shah is a scholar working on Health, Modeling and Simulation and Infectious Diseases, having authored 18 papers that have together received 681 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (3 papers), Misinformation and Its Impacts (2 papers), COVID-19 and Mental Health (2 papers), Ethics and Legal Issues in Pediatric Healthcare (2 papers), COVID-19 and healthcare impacts (2 papers) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Health (543 citations), Modeling and Simulation (113 citations) and Obstetrics and Gynecology (122 citations). Megha D. Shah has collaborated with scholars based in United States and India. Frequent co-authors include Peter G. Szilagyi, Arie Kapteyn, Kyla Thomas, Sitaram Vangala, Nathalie Vizueta, Yan Cui, Rashmi Shetgiri, Craig R. Fox, Kelly Brassil and Alex Yat-Man Ho. Their work appears in journals such as JAMA, Clinical journal of oncology nursing, PEDIATRICS, Academic Pediatrics and Journal of Adolescent 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.