John W. Ayers
- Health Informatics top 0.05%
- Applied Psychology top 1%
- Health top 1%
- Social Media in Health Education 12
- Health disparities and outcomes 9
- Vaccine Coverage and Hesitancy 8
- Family Practice top 2%
- Communication top 2%
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- Data-Driven Disease Surveillance 34
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- Smoking Behavior and Cessation 29
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- Misinformation and Its Impacts 13
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- Health Literacy and Information Accessibility 9
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- Cannabis and Cannabinoid Research 9
- Co-authors
- Mark DredzeEric C. LeasBenjamin M. AlthouseDavey M. SmithKurt M. RibislJohn S. BrownsteinTheodore L. CaputiChris Longhurst
- Journals
- JAMA Internal Medicine (14 papers)American Journal of Preventive Medicine (9 papers)PLoS ONE (8 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
John W. Ayers
104 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Health Informatics 855
- Applied Psychology 365
- Health 583
- Family Practice 143
- Communication 253
Countries citing papers authored by John W. Ayers
This map shows the geographic impact of John W. Ayers'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 John W. Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Ayers more than expected).
Fields of papers citing papers by John W. Ayers
This network shows the impact of papers produced by John W. Ayers. 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 John W. Ayers. The network helps show where John W. Ayers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John W. Ayers, 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 | 2024 | 8 | |
| 2 | Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forumbreakdown → | 2023 | 1184 |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 47 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 21 | |
| 12 | 2017 | 29 | |
| 13 | 2016 | 49 | |
| 14 | Examining the Dose-Response Relationships Between Childhood Victimization, Depression, Psychosis, and Substance Misuse for Women Prisoners | 2015 | 2 |
| 15 | 2014 | 32 | |
| 16 | 2013 | 57 | |
| 17 | 2010 | 23 | |
| 18 | 2010 | 23 | |
| 19 | 2008 | 43 | |
| 20 | 2008 | 8 |
About John W. Ayers
John W. Ayers is a scholar working on Health, Health Informatics and Epidemiology, having authored 106 papers that have together received 4.7k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (34 papers), Smoking Behavior and Cessation (29 papers), Misinformation and Its Impacts (13 papers), Social Media in Health Education (12 papers), Health Literacy and Information Accessibility (9 papers), Cannabis and Cannabinoid Research (9 papers), Health disparities and outcomes (9 papers) and Vaccine Coverage and Hesitancy (8 papers). The work is most often cited by research in Health Informatics (855 citations), Applied Psychology (365 citations) and Health (583 citations). John W. Ayers has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Mark Dredze, Eric C. Leas, Benjamin M. Althouse, Davey M. Smith, Kurt M. Ribisl, John S. Brownstein, Theodore L. Caputi, Chris Longhurst, Adam Poliak and Michael Hogarth. Their work appears in journals such as JAMA Internal Medicine, American Journal of Preventive Medicine, PLoS ONE, JAMA and Tobacco Control.
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.