Eric C. Leas
- Health Informatics top 0.05%
- Applied Psychology top 1%
- Behavioral Health and Interventions 9
- Family Practice top 2%
- Physiology top 2%
- Smoking Behavior and Cessation 48
- Health top 2%
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- Data-Driven Disease Surveillance 17
- Substance Abuse Treatment and Outcomes 5
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- Obesity, Physical Activity, Diet 14
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- Air Quality and Health Impacts 11
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- Cannabis and Cannabinoid Research 11
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- Misinformation and Its Impacts 6
- Co-authors
- John W. AyersMark DredzeDavey M. SmithAdam PoliakMichael HogarthChris LonghurstAaron M. GoodmanDennis J. Faix
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Eric C. Leas
87 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Health Informatics 835
- Applied Psychology 407
- Family Practice 138
- Physiology 1.1k
- Health 273
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 19 | |
| 9 | Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forumbreakdown → | 2023 | 1184 |
| 10 | 2023 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 16 | |
| 17 | 2020 | 47 | |
| 18 | 2019 | 2 | |
| 19 | 2017 | 29 | |
| 20 | 2016 | 49 |
About Eric C. Leas
Eric C. Leas is a scholar working on Applied Psychology, Physiology and Health, having authored 89 papers that have together received 3.4k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (48 papers), Data-Driven Disease Surveillance (17 papers), Obesity, Physical Activity, Diet (14 papers), Air Quality and Health Impacts (11 papers), Cannabis and Cannabinoid Research (11 papers), Behavioral Health and Interventions (9 papers), Misinformation and Its Impacts (6 papers) and Substance Abuse Treatment and Outcomes (5 papers). The work is most often cited by research in Health Informatics (835 citations), Applied Psychology (407 citations) and Family Practice (138 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, Aaron M. Goodman, Dennis J. Faix, David R. Strong and Benjamin M. Althouse. Their work appears in journals such as Tobacco Control, JAMA Network Open, JAMA Internal Medicine, PLoS ONE and American Journal of Preventive Medicine.
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.