Eric C. Leas

5.7k total citations · 1 hit paper
89 papers, 3.4k citations indexed

About

Eric C. Leas is a scholar working on Physiology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Eric C. Leas has authored 89 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Physiology, 26 papers in Epidemiology and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Eric C. Leas's work include Smoking Behavior and Cessation (48 papers), Data-Driven Disease Surveillance (17 papers) and Obesity, Physical Activity, Diet (14 papers). Eric C. Leas is often cited by papers focused on Smoking Behavior and Cessation (48 papers), Data-Driven Disease Surveillance (17 papers) and Obesity, Physical Activity, Diet (14 papers). Eric C. Leas collaborates with scholars based in United States, United Kingdom and Ireland. Eric C. Leas's 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 and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Eric C. Leas

87 papers receiving 3.3k citations

Hit Papers

Comparing Physician and Artificial Intelligence Chatbot R... 2023 2026 2024 2025 2023 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric C. Leas United States 30 1.1k 835 626 456 453 89 3.4k
John W. Ayers United States 37 899 0.8× 855 1.0× 639 1.0× 773 1.7× 555 1.2× 106 4.7k
Liliana Laranjo Australia 27 369 0.3× 332 0.4× 446 0.7× 1.1k 2.4× 777 1.7× 83 3.3k
Tobias Raupach Germany 33 1.1k 1.0× 237 0.3× 1.0k 1.6× 510 1.1× 210 0.5× 160 3.5k
Siobhán O’Connor United Kingdom 25 188 0.2× 251 0.3× 515 0.8× 1.0k 2.3× 131 0.3× 91 2.7k
Brian C. Martinson United States 34 566 0.5× 323 0.4× 1.6k 2.6× 1.1k 2.4× 67 0.1× 74 4.4k
Yoshimi Fukuoka United States 28 625 0.6× 108 0.1× 628 1.0× 1.1k 2.4× 196 0.4× 92 2.7k
Camille Nebeker United States 23 149 0.1× 303 0.4× 497 0.8× 767 1.7× 272 0.6× 76 2.4k
Giang Thu Vu Vietnam 28 151 0.1× 191 0.2× 285 0.5× 427 0.9× 142 0.3× 131 2.5k
Bjørn Hofmann Norway 34 405 0.4× 151 0.2× 1.0k 1.6× 1.7k 3.7× 75 0.2× 258 4.1k
Elizabeth Wager United Kingdom 31 258 0.2× 494 0.6× 1.4k 2.2× 712 1.6× 87 0.2× 106 4.3k

Countries citing papers authored by Eric C. Leas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Eric C. Leas

This figure shows the co-authorship network connecting the top 25 collaborators of Eric C. Leas. A scholar is included among the top collaborators of Eric C. Leas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric C. Leas. Eric C. Leas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Yang, Kevin H., et al.. (2025). U.S. State Marijuana and Delta-8-Tetrahydrocannabinol Laws and Delta-8-Tetrahydrocannabinol Use. American Journal of Preventive Medicine. 69(6). 108026–108026. 1 indexed citations
3.
Leas, Eric C.. (2024). Need for improved regulation of tobacco e-commerce. Tobacco Control. 34(2). 276–277. 4 indexed citations
4.
Messer, Karen, John P. Pierce, Man Luo, et al.. (2024). Cigarette smoking decline among US young adults from 2000 to 2019, in relation to state-level cigarette price and tobacco control expenditure. Tobacco Control. 34(5). 671–679. 1 indexed citations
5.
Ellis, Shannon, et al.. (2024). Derived cannabinoid product availability among online vape shops. Preventive Medicine Reports. 48. 102910–102910. 2 indexed citations
6.
Leas, Eric C., et al.. (2024). Using Large Language Models to Support Content Analysis: A Case Study of ChatGPT for Adverse Event Detection. Journal of Medical Internet Research. 26. e52499–e52499. 8 indexed citations
7.
Leas, Eric C., et al.. (2024). Need for a Public Health Response to the Unregulated Sales of Amanita muscaria Mushrooms. American Journal of Preventive Medicine. 67(3). 458–463. 4 indexed citations
8.
Ellis, Shannon, et al.. (2024). Online Retailer Nonadherence to Age Verification, Shipping, and Flavor Restrictions on E-Cigarettes. JAMA. 332(24). 2113–2113. 2 indexed citations
9.
Leas, Eric C., et al.. (2023). Self-reported adverse events associated with ∆8-Tetrahydrocannabinol (Delta-8-THC) Use. SHILAP Revista de lepidopterología. 5(1). 15–15. 19 indexed citations
10.
Leas, Eric C., et al.. (2023). Kratom availability in California vape shops. Preventive Medicine Reports. 35. 102380–102380. 5 indexed citations
11.
Strong, David R., Allison Glasser, Eric C. Leas, et al.. (2023). Indicators of Tobacco Dependence Among Youth: Findings From Wave 1 (2013–2014) of the Population Assessment of Tobacco and Health Study. Nicotine & Tobacco Research. 25(9). 1565–1574. 5 indexed citations
12.
Ayers, John W., Adam Poliak, Mark Dredze, et al.. (2023). Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum. JAMA Internal Medicine. 183(6). 589–589. 1184 indexed citations breakdown →
13.
Pierce, John P., Man Luo, Sara B. McMenamin, et al.. (2023). Declines in cigarette smoking among US adolescents and young adults: indications of independence from e-cigarette vaping surge. Tobacco Control. 34(3). 286–293. 25 indexed citations
14.
Patton, Thomas, Daniela Abramovitz, Derek C. Johnson, et al.. (2022). Characterizing Help-Seeking Searches for Substance Use Treatment From Google Trends and Assessing Their Use for Infoveillance: Longitudinal Descriptive and Validation Statistical Analysis. Journal of Medical Internet Research. 24(12). e41527–e41527. 6 indexed citations
15.
Purushothaman, Vidya, Raphael Cuomo, Eric C. Leas, et al.. (2022). Longitudinal analysis of tobacco and vape retail density in California. Tobacco Induced Diseases. 20(October). 1–12. 1 indexed citations
16.
Ayers, John W., Benjamin M. Althouse, Adam Poliak, et al.. (2020). Quantifying Public Interest in Police Reforms by Mining Internet Search Data Following George Floyd’s Death. Journal of Medical Internet Research. 22(10). e22574–e22574. 8 indexed citations
17.
Pierce, John P., Kari-Lyn K. Sakuma, Eric C. Leas, et al.. (2020). Widening disparities in cigarette smoking by race/ethnicity across education level in the United States. Preventive Medicine. 139. 106220–106220. 71 indexed citations
18.
Leas, Eric C., Judith J. Prochaska, John W. Ayers, Alicia L. Nobles, & Lisa Henriksen. (2019). What to do when tobacco advertisers exploit antitobacco social media campaigns to sell tobacco. Tobacco Control. 29(2). 243–244. 2 indexed citations
19.
Pierce, John P., James D. Sargent, Martha M. White, et al.. (2017). Receptivity to Tobacco Advertising and Susceptibility to Tobacco Products. PEDIATRICS. 139(6). 91 indexed citations
20.
Ayers, John W., J. Lee Westmaas, Eric C. Leas, et al.. (2016). Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout. JMIR Public Health and Surveillance. 2(1). e16–e16. 49 indexed citations

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.

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