John W. Ayers
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
- Health top 1%
- Social Media in Health Education
Papers in
- Physiology 31
- Smoking Behavior and Cessation 31
- Health 17
- Social Media in Health Education 10
- Co-authors
- Mark H. Dredze (48 shared papers)Eric Craig Leas (43 shared papers)Benjamin M. Althouse (29 shared papers)Davey Mitchell Smith (21 shared papers)Chris Longhurst (3 shared papers)Adam Poliak (9 shared papers)Michael A. Hogarth (4 shared papers)Theodore L. Caputi (19 shared papers)
- Journals
- JAMA Internal Medicine (16 papers)American Journal of Preventive Medicine (10 papers)PLoS ONE (8 papers)Tobacco Control (8 papers)JAMA (7 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
John W. Ayers
107 papers receiving 5.3k citations
John W. Ayers's Hit Papers
Peers
Comparison fields: 5 of 160
- Health Informatics 1.4k
- Health 423
- Physiology 881
- Applied Psychology 125
- Epidemiology 636
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-authors
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
Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum Hit paper breakdown → | 2023 | 1606 |
| 2 | 2011 | 259 | |
| 3 | 2015 | 199 | |
| 4 | 2013 | 167 | |
| 5 | 2014 | 143 | |
| 6 | 2017 | 118 | |
| 7 | 2017 | 117 | |
| 8 | 2014 | 115 | |
| 9 | 2013 | 114 | |
| 10 | 2018 | 112 | |
| 11 | 2016 | 103 | |
| 12 | 2009 | 95 | |
| 13 | 2020 | 91 | |
| 14 | 2023 | 76 | |
| 15 | 2019 | 75 | |
| 16 | 2021 | 68 | |
| 17 | 2013 | 63 | |
| 18 | 2017 | 62 | |
| 19 | 2012 | 57 | |
| 20 | 2016 | 54 |
About John W. Ayers
John W. Ayers is a scholar working on Physiology, Health, Epidemiology, Health Informatics and General Health Professions, having authored 111 papers that have together received 5.5k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (31 papers), Data-Driven Disease Surveillance (13 papers), Social Media in Health Education (10 papers), HIV/AIDS Research and Interventions (7 papers), Health Literacy and Information Accessibility (6 papers), Artificial Intelligence in Healthcare and Education (5 papers), Substance Abuse Treatment and Outcomes (5 papers) and Misinformation and Its Impacts (5 papers). The work is most often cited by research in Health Informatics (1.4k citations), Health (423 citations), Physiology (881 citations), Applied Psychology (125 citations) and Epidemiology (636 citations). John W. Ayers has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Mark H. Dredze, Eric Craig Leas, Benjamin M. Althouse, Davey Mitchell Smith, Chris Longhurst, Adam Poliak, Michael A. Hogarth, Theodore L. Caputi, Aaron Michael Goodman and Dennis J. Faix. Their work appears in journals such as JAMA Internal Medicine, American Journal of Preventive Medicine, PLoS ONE, Tobacco Control and JAMA.
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.