Michael S. Amato

1.8k total citations
57 papers, 1.2k citations indexed

About

Michael S. Amato is a scholar working on Physiology, Applied Psychology and General Health Professions. According to data from OpenAlex, Michael S. Amato has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Physiology, 19 papers in Applied Psychology and 13 papers in General Health Professions. Recurrent topics in Michael S. Amato's work include Smoking Behavior and Cessation (35 papers), Behavioral Health and Interventions (15 papers) and Obesity, Physical Activity, Diet (9 papers). Michael S. Amato is often cited by papers focused on Smoking Behavior and Cessation (35 papers), Behavioral Health and Interventions (15 papers) and Obesity, Physical Activity, Diet (9 papers). Michael S. Amato collaborates with scholars based in United States, China and United Kingdom. Michael S. Amato's co-authors include Amanda L. Graham, Sarah Cha, Raymond G. Boyle, George D. Papandonatos, David T. Levy, Megan A Jacobs, Jennifer Pearson, Maryellen C. MacDonald, Amy M. Cohn and Kang Zhao and has published in prestigious journals such as JAMA, PLoS ONE and American Journal of Public Health.

In The Last Decade

Michael S. Amato

55 papers receiving 1.2k citations

Peers

Michael S. Amato

PHYSI

PHEOH

SPS

GHP

Jan Keller Germany

Dan J. Graham United States

Michelle Jeong United States

Tarun Reddy Katapally Canada

Piia Jallinoja Finland

John J. M. Dwyer Canada

Dimitra Kale United Kingdom

Cristina Godinho Portugal

Su Hyun Park United States

Shari Kessel Schneider United States

Jan Keller Germany

Michael S. Amato

252 ×0.4

PHYSI

481 ×1.8

177 ×0.8

PHEOH

261 ×1.4

SPS

174 ×1.0

GHP

Citations per year, relative to Michael S. Amato Michael S. Amato (= 1×) peers Jan Keller

Countries citing papers authored by Michael S. Amato

Since Specialization

Citations

This map shows the geographic impact of Michael S. Amato'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 Michael S. Amato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Amato more than expected).

Fields of papers citing papers by Michael S. Amato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Amato. 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 Michael S. Amato. The network helps show where Michael S. Amato may publish in the future.

Co-authorship network of co-authors of Michael S. Amato

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Amato. A scholar is included among the top collaborators of Michael S. Amato 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 Michael S. Amato. Michael S. Amato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Amato, Michael S., et al.. (2024). Predicting Early Dropout in a Digital Tobacco Cessation Intervention: Replication and Extension Study. Journal of Medical Internet Research. 26. e54248–e54248.

Amato, Michael S., et al.. (2024). Examining Quitting Experiences on Quit Vaping Subreddits From 2015 to 2021: Content Analysis. Journal of Medical Internet Research. 26. e52129–e52129. 1 indexed citations

Graham, Amanda L., et al.. (2024). A Vaping Cessation Text Message Program for Adolescent E-Cigarette Users. JAMA. 332(9). 713–713. 18 indexed citations

Cha, Sarah, et al.. (2023). Changes over time in reasons for quitting vaping among treatment-seeking young people from 2019 to 2022. Addictive Behaviors Reports. 19. 100521–100521. 5 indexed citations

Wang, Xiangyu, Kang Zhao, Michael S. Amato, et al.. (2023). The Role of Seed Users in Nurturing an Online Health Community for Smoking Cessation Among People With HIV/AIDS. Annals of Behavioral Medicine. 58(2). 122–130. 1 indexed citations

Khadjesari, Zarnie, Tracey Brown, Alex T. Ramsey, et al.. (2022). Novel Implementation Strategy to Electronically Screen and Signpost Patients to Health Behavior Apps: Mixed Methods Implementation Study (OptiMine Study). JMIR Formative Research. 6(7). e34271–e34271. 5 indexed citations

Graham, Amanda L., George D. Papandonatos, Sarah Cha, et al.. (2021). Effectiveness of an optimized text message and Internet intervention for smoking cessation: A randomized controlled trial. Addiction. 117(4). 1035–1046. 14 indexed citations

Elizabeth, K., Katie O’Connor, Siobhan N. Perks, et al.. (2021). E-cigarette device and liquid characteristics and E-cigarette dependence: A pilot study of pod-based and disposable E-cigarette users. Addictive Behaviors. 124. 107117–107117. 22 indexed citations

Cuccia, Alison F., et al.. (2021). Quitting e-cigarettes: Quit attempts and quit intentions among youth and young adults. Preventive Medicine Reports. 21. 101287–101287. 52 indexed citations

10.

Graham, Amanda L., George D. Papandonatos, Megan A Jacobs, et al.. (2020). Optimizing Text Messages to Promote Engagement With Internet Smoking Cessation Treatment: Results From a Factorial Screening Experiment. Journal of Medical Internet Research. 22(4). e17734–e17734. 19 indexed citations

11.

Amato, Michael S., Sherine El‐Toukhy, Lorien C. Abroms, et al.. (2020). Mining Electronic Health Records to Promote the Reach of Digital Interventions for Cancer Prevention Through Proactive Electronic Outreach: Protocol for the Mixed Methods OptiMine Study. JMIR Research Protocols. 9(12). e23669–e23669. 2 indexed citations

12.

Graham, Amanda L., et al.. (2020). Effectiveness of a Quit Vaping Text Message Program in Promoting Abstinence Among Young Adult E-Cigarette Users: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 9(5). e18327–e18327. 33 indexed citations

13.

Amato, Michael S., et al.. (2020). “It’s really addictive and I’m trapped:” A qualitative analysis of the reasons for quitting vaping among treatment-seeking young people. Addictive Behaviors. 112. 106599–106599. 73 indexed citations

14.

Sutter, Louis, Michael S. Amato, Philippe Jeanneret, & Matthias Albrecht. (2018). Overwintering of pollen beetles and their predators in oilseed rape and semi-natural habitats. Agriculture Ecosystems & Environment. 265. 275–281. 22 indexed citations

15.

Mestre, Laia, Jens Schirmel, Sonja C. Pfister, et al.. (2018). Both woody and herbaceous semi-natural habitats are essential for spider overwintering in European farmland. Agriculture Ecosystems & Environment. 267. 141–146. 55 indexed citations

16.

Amato, Michael S. & Amanda L. Graham. (2018). Geographic Representativeness of a Web-Based Smoking Cessation Intervention: Reach Equity Analysis. Journal of Medical Internet Research. 20(10). e11668–e11668. 5 indexed citations

17.

Wang, Xi, Kang Zhao, Sarah Cha, et al.. (2018). Mining user-generated content in an online smoking cessation community to identify smoking status: A machine learning approach. Decision Support Systems. 116. 26–34. 32 indexed citations

18.

Zhao, Kang, Xi Wang, Sarah Cha, et al.. (2016). A Multirelational Social Network Analysis of an Online Health Community for Smoking Cessation. Journal of Medical Internet Research. 18(8). e233–e233. 40 indexed citations

19.

Amato, Michael S., et al.. (2015). Q fever outbreak among travelers to Germany associated with live cell therapy — United States and Canada, 2014: a co-publication. Canada Communicable Disease Report. 41(10). 223–226. 2 indexed citations

20.

Magzamen, Sheryl, Pamela Imm, Michael S. Amato, et al.. (2013). Moderate lead exposure and elementary school end-of-grade examination performance. Annals of Epidemiology. 23(11). 700–707. 15 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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