Seth M. Noar

19.2k total citations · 7 hit papers
249 papers, 13.9k citations indexed

About

Seth M. Noar is a scholar working on Applied Psychology, Physiology and Literature and Literary Theory. According to data from OpenAlex, Seth M. Noar has authored 249 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Applied Psychology, 95 papers in Physiology and 68 papers in Literature and Literary Theory. Recurrent topics in Seth M. Noar's work include Behavioral Health and Interventions (109 papers), Smoking Behavior and Cessation (93 papers) and Media Influence and Health (68 papers). Seth M. Noar is often cited by papers focused on Behavioral Health and Interventions (109 papers), Smoking Behavior and Cessation (93 papers) and Media Influence and Health (68 papers). Seth M. Noar collaborates with scholars based in United States, United Kingdom and Australia. Seth M. Noar's co-authors include Melissa S. Harris, Rick S. Zimmerman, Noel T. Brewer, Kurt M. Ribisl, Marissa G. Hall, Nancy Grant Harrington, Mia Liza A. Lustria, Diane B. Francis, Robert L. Glueckauf and Juliann Cortese and has published in prestigious journals such as Psychological Bulletin, PLoS ONE and American Journal of Public Health.

In The Last Decade

Seth M. Noar

235 papers receiving 13.3k citations

Hit Papers

Does tailoring matter? Meta-analytic review of tailored p... 2005 2026 2012 2019 2007 2006 2005 2013 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth M. Noar United States 55 5.1k 4.3k 3.2k 3.2k 2.0k 249 13.9k
Gerjo Kok Netherlands 59 4.7k 0.9× 2.9k 0.7× 2.9k 0.9× 1.3k 0.4× 2.1k 1.1× 355 14.3k
Victor J. Strecher United States 59 5.7k 1.1× 4.2k 1.0× 2.2k 0.7× 2.7k 0.9× 2.8k 1.4× 137 15.6k
Matthew W. Kreuter United States 60 7.1k 1.4× 3.1k 0.7× 3.5k 1.1× 2.6k 0.8× 3.7k 1.9× 198 18.5k
Alexander J. Rothman United States 57 2.8k 0.6× 6.0k 1.4× 3.8k 1.2× 1.8k 0.6× 1.9k 1.0× 201 14.8k
Hein de Vries Netherlands 65 5.3k 1.0× 6.1k 1.4× 2.4k 0.8× 6.3k 2.0× 3.5k 1.7× 559 17.2k
Noel T. Brewer United States 70 2.1k 0.4× 3.3k 0.8× 3.2k 1.0× 3.6k 1.1× 2.3k 1.1× 381 19.6k
Gaston Godin Canada 56 4.1k 0.8× 6.3k 1.5× 2.6k 0.8× 3.9k 1.2× 4.6k 2.3× 260 19.2k
Meg Gerrard United States 72 3.0k 0.6× 4.8k 1.1× 5.2k 1.6× 1.6k 0.5× 1.2k 0.6× 202 16.1k
Kasisomayajula Viswanath United States 55 4.7k 0.9× 1.3k 0.3× 3.6k 1.1× 1.2k 0.4× 1.9k 0.9× 253 12.7k
Joseph S. Rossi United States 62 5.0k 1.0× 6.5k 1.5× 1.3k 0.4× 7.6k 2.4× 4.8k 2.4× 243 20.2k

Countries citing papers authored by Seth M. Noar

Since Specialization
Citations

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

Fields of papers citing papers by Seth M. Noar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seth M. Noar. 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 Seth M. Noar. The network helps show where Seth M. Noar may publish in the future.

Co-authorship network of co-authors of Seth M. Noar

This figure shows the co-authorship network connecting the top 25 collaborators of Seth M. Noar. A scholar is included among the top collaborators of Seth M. Noar 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 Seth M. Noar. Seth M. Noar 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
1.
Noar, Seth M., et al.. (2025). Perceived risks, reasons for use, and barriers to cessation among youth who use multiple tobacco products. PLoS ONE. 20(11). e0335019–e0335019.
2.
Brewer, Noel T., et al.. (2025). Do Perceived Message Effectiveness Ratings Change in Response to Repeated Message Exposures?. Health Communication. 40(12). 2547–2555. 1 indexed citations
3.
Kowitt, Sarah D., et al.. (2025). Identifying Promising Message Themes for Youth Who Use Multiple Tobacco Products. Journal of Adolescent Health. 76(6). 1069–1076.
4.
Walter, Nathan, et al.. (2025). Is time of the essence? A temporal meta-synthesis of seven media effects theories. Journal of Communication. 76(1). 8–19.
5.
Ma, Haijing, Jacob A. Rohde, Nisha C. Gottfredson, et al.. (2024). Understanding Potential Mechanisms of Vaping Prevention Messages: A Mediation Analysis of the Real Cost Campaign Advertisements. Health Education & Behavior. 52(1). 102–112. 1 indexed citations
6.
Myrick, Jessica Gall, Jessica Fitts Willoughby, Diane B. Francis, & Seth M. Noar. (2024). The Impact of Celebrity and Influencer Illness Disclosures. Health Communication. 39(14). 3577–3580. 3 indexed citations
8.
Asfar, Taghrid, et al.. (2023). Youth Exposure and Response to the FDA Health Warning Label on Electronic Cigarettes Packaging: Policy Implications. Nicotine & Tobacco Research. 26(2). 151–160. 4 indexed citations
9.
Kresovich, Alex, Hannah Prentice-Dunn, Marcella H. Boynton, et al.. (2021). What’s in the message? An analysis of themes and features used in vaping prevention messages. Addictive Behaviors Reports. 15. 100404–100404. 12 indexed citations
11.
Grummon, Anna H., Marissa G. Hall, Jennifer Mendel Sheldon, et al.. (2020). Reactions to messages about smoking, vaping and COVID-19: two national experiments. Tobacco Control. 31(3). 402–410. 37 indexed citations
12.
Huang, Li‐Ling, Allison J. Lazard, Jessica K. Pepper, et al.. (2017). Impact of The Real Cost Campaign on Adolescents’ Recall, Attitudes, and Risk Perceptions about Tobacco Use: A National Study. International Journal of Environmental Research and Public Health. 14(1). 42–42. 43 indexed citations
13.
Tripicchio, Gina L., Moonseong Heo, Lisa K. Diewald, et al.. (2016). Restricting Advertisements for High-Fat, High-Sugar Foods during Children's Television Programs: Attitudes in a US Population-Based Sample. Childhood Obesity. 12(2). 113–118. 7 indexed citations
14.
Peebles, Kathryn, Marissa G. Hall, Jessica K. Pepper, et al.. (2016). Adolescents' Responses to Pictorial Warnings on Their Parents' Cigarette Packs. Journal of Adolescent Health. 59(6). 635–641. 22 indexed citations
15.
Xiao, Zhiwen, Philip Palmgreen, Rick S. Zimmerman, & Seth M. Noar. (2010). Adapting and applying a multiple domain model of condom use to Chinese college students. AIDS Care. 22(3). 332–338. 32 indexed citations
16.
Noar, Seth M. & May G. Kennedy. (2009). HIV/AIDS Prevention Messages. The AMA Journal of Ethic. 11(12). 980–987. 6 indexed citations
17.
Noar, Seth M., et al.. (2009). Demographic and Personality Factors as Predictors of HIV/STD Partner-Specific Risk Perceptions: Implications for Interventions. AIDS Education and Prevention. 21(1). 39–54. 39 indexed citations
18.
Noar, Seth M.. (2008). Corcoran N. (Ed.). (2007).Communicating Health: Strategies for Health Promotion. Journal of Health Communication. 13(3). 303–305. 3 indexed citations
19.
Zimmerman, Rick S., et al.. (2007). Longitudinal Test of a Multiple Domain Model of Adolescent Condom Use. The Journal of Sex Research. 44(4). 380–394. 42 indexed citations
20.
Noar, Seth M.. (2006). A 10-Year Retrospective of Research in Health Mass Media Campaigns: Where Do We Go From Here?. Journal of Health Communication. 11(1). 21–42. 596 indexed citations breakdown →

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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