Eric C. Leas
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 2%
Papers in
- Physiology 42
- Smoking Behavior and Cessation 42
- Epidemiology 18
- Data-Driven Disease Surveillance 13
- Substance Abuse Treatment and Outcomes 3
- Co-authors
- John W. Ayers (40 shared papers)Mark Dredze (28 shared papers)Davey M. Smith (11 shared papers)Adam Poliak (7 shared papers)Michael Hogarth (3 shared papers)Chris Longhurst (2 shared papers)Dennis J. Faix (1 shared paper)Aaron M. Goodman (1 shared paper)
- Journals
- Tobacco Control (15 papers)JAMA Internal Medicine (8 papers)JAMA Network Open (8 papers)PLoS ONE (7 papers)Journal of Medical Internet Research (4 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Eric C. Leas
88 papers receiving 3.6k citations
Eric C. Leas's Hit Papers
Peers
Comparison fields: 5 of 167
- Health Informatics 777
- Family Practice 78
- Physiology 1.0k
- Applied Psychology 199
- Health 157
Countries citing papers authored by Eric C. Leas
This map shows the geographic impact of Eric C. Leas'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 Eric C. Leas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric C. Leas more than expected).
Fields of papers citing papers by Eric C. Leas
This network shows the impact of papers produced by Eric C. Leas. 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 Eric C. Leas. The network helps show where Eric C. Leas may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric C. Leas, 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 89 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 | 1326 |
| 2 | 2015 | 118 | |
| 3 | 2017 | 113 | |
| 4 | 2017 | 100 | |
| 5 | 2017 | 93 | |
| 6 | 2016 | 91 | |
| 7 | 2016 | 81 | |
| 8 | 2020 | 75 | |
| 9 | 2019 | 75 | |
| 10 | 2023 | 65 | |
| 11 | 2018 | 64 | |
| 12 | 2021 | 61 | |
| 13 | 2017 | 61 | |
| 14 | 2022 | 58 | |
| 15 | 2016 | 53 | |
| 16 | 2016 | 49 | |
| 17 | 2021 | 47 | |
| 18 | 2020 | 47 | |
| 19 | 2016 | 46 | |
| 20 | 2019 | 46 |
About Eric C. Leas
Eric C. Leas is a scholar working on Physiology, Epidemiology, Sociology and Political Science, Pharmacology and Health, having authored 89 papers that have together received 3.6k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (42 papers), Data-Driven Disease Surveillance (13 papers), Cannabis and Cannabinoid Research (9 papers), Misinformation and Its Impacts (6 papers), Air Quality and Health Impacts (4 papers), Social Media in Health Education (4 papers), Media Studies and Communication (4 papers) and Substance Abuse Treatment and Outcomes (3 papers). The work is most often cited by research in Health Informatics (777 citations), Family Practice (78 citations), Physiology (1.0k citations), Applied Psychology (199 citations) and Health (157 citations). Eric C. Leas has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include John W. Ayers, Mark Dredze, Davey M. Smith, Adam Poliak, Michael Hogarth, Chris Longhurst, Dennis J. Faix, Aaron M. Goodman, David R. Strong and Benjamin M. Althouse. Their work appears in journals such as Tobacco Control, JAMA Internal Medicine, JAMA Network Open, PLoS ONE and Journal of Medical Internet Research.
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.