Dana E. Wagner

678 total citations
18 papers, 358 citations indexed

About

Dana E. Wagner is a scholar working on Physiology, Literature and Literary Theory and Sociology and Political Science. According to data from OpenAlex, Dana E. Wagner has authored 18 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Literature and Literary Theory and 6 papers in Sociology and Political Science. Recurrent topics in Dana E. Wagner's work include Smoking Behavior and Cessation (9 papers), Media Influence and Health (8 papers) and Behavioral Health and Interventions (4 papers). Dana E. Wagner is often cited by papers focused on Smoking Behavior and Cessation (9 papers), Media Influence and Health (8 papers) and Behavioral Health and Interventions (4 papers). Dana E. Wagner collaborates with scholars based in United States, Thailand and Ethiopia. Dana E. Wagner's co-authors include Robyn K. Mallett, Jeffrey W. Jordan, Dennis P. Watson, Mario A. Navarro, Meghan Bridgid Moran, Tesfa N. Alexander, James R. Andretta, Frank C. Worrell, Valery Shuman and Zena R. Mello and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Public Health and International Journal of Environmental Research and Public Health.

In The Last Decade

Dana E. Wagner

17 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana E. Wagner United States 10 133 90 87 76 64 18 358
Raymond de Kemp Netherlands 6 81 0.6× 68 0.8× 70 0.8× 134 1.8× 38 0.6× 6 375
Jennifer B. Gray United States 7 84 0.6× 11 0.1× 56 0.6× 47 0.6× 62 1.0× 23 278
Laura Hensley Choate United States 13 79 0.6× 12 0.1× 41 0.5× 116 1.5× 38 0.6× 33 371
Joan Hanafin Ireland 11 89 0.7× 64 0.7× 46 0.5× 25 0.3× 14 0.2× 38 429
Debbie O. B. Lam Hong Kong 12 53 0.4× 50 0.6× 124 1.4× 83 1.1× 29 0.5× 19 338
Bonnie Pang Australia 14 194 1.5× 40 0.4× 23 0.3× 71 0.9× 17 0.3× 37 364
Karin Helmersson Bergmark Sweden 10 148 1.1× 15 0.2× 116 1.3× 48 0.6× 36 0.6× 16 376
Clarissa Cortland United States 8 150 1.1× 19 0.2× 34 0.4× 73 1.0× 21 0.3× 12 288
Russell L. Young United States 11 73 0.5× 95 1.1× 36 0.4× 43 0.6× 37 0.6× 26 327
Lizabeth A. Crawford United States 9 83 0.6× 20 0.2× 102 1.2× 79 1.0× 81 1.3× 19 344

Countries citing papers authored by Dana E. Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Dana E. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana E. Wagner. 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 Dana E. Wagner. The network helps show where Dana E. Wagner may publish in the future.

Co-authorship network of co-authors of Dana E. Wagner

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

All Works

18 of 18 papers shown
1.
Curry, Laurel, Matthew C. Farrelly, Jamie Guillory, et al.. (2024). Generating Campaign Awareness With Digital Media: Exploring Factors Associated With Awareness of and Receptivity to FDA’s Fresh Empire Tobacco Prevention Campaign. Nicotine & Tobacco Research. 27(5). 864–872.
2.
Curry, Laurel, Jamie Guillory, Anna MacMonegle, et al.. (2023). Factors Associated with Use of Cigars, Little Cigars, Cigarillos, and Blunts among Hip Hop Youth in the United States. American Journal of Health Behavior. 47(4). 851–869. 1 indexed citations
3.
Wagner, Dana E., et al.. (2022). Unpacking Cigar Product Familiarity and Terminology among Black and Hispanic Youth: It’s All about Blunts. International Journal of Environmental Research and Public Health. 19(3). 1689–1689. 6 indexed citations
4.
Budenz, Alexandra, et al.. (2022). Discrimination, identity connectedness and tobacco use in a sample of sexual and gender minority young adults. Tobacco Control. 33(e2). e143–e150. 9 indexed citations
5.
Wagner, Dana E., et al.. (2022). This Free Life Campaign: Increasing Intention to Quit Among LGBTQ+ Young Adult Nondaily Smokers in Minneapolis. SHILAP Revista de lepidopterología. 15. 1179173X221133978–1179173X221133978. 4 indexed citations
6.
Wagner, Dana E., et al.. (2022). Swap Up Your Meal: A Mass Media Nutrition Education Campaign for Oklahoma Teens. International Journal of Environmental Research and Public Health. 19(16). 10110–10110. 3 indexed citations
7.
Ganz, Ollie, et al.. (2020). Keeping It Fresh With Hip-Hop Teens: Promising Targeting Strategies for Delivering Public Health Messages to Hard-to-Reach Audiences. Health Promotion Practice. 21(1_suppl). 61S–71S. 34 indexed citations
8.
Navarro, Mario A., et al.. (2020). Who Uses Tobacco Products? Using Peer Crowd Segmentation to Identify Youth at Risk for Cigarettes, Cigar Products, Hookah, and E-Cigarettes. Substance Use & Misuse. 55(7). 1045–1053. 9 indexed citations
9.
Navarro, Mario A., et al.. (2019). Youth peer crowds and risk of cigarette use: The effects of dual peer crowd identification among hip hop youth. Addictive Behaviors Reports. 10. 100204–100204. 6 indexed citations
10.
Wagner, Dana E., et al.. (2019). Understanding Adversity and Peer Crowds to Prevent Youth Health Risks. American Journal of Health Behavior. 43(4). 767–780. 7 indexed citations
11.
Navarro, Mario A., et al.. (2018). The Hip Hop peer crowd: An opportunity for intervention to reduce tobacco use among at-risk youth. Addictive Behaviors. 82. 28–34. 25 indexed citations
13.
Wagner, Dana E., et al.. (2018). Freedom From Chew: Using Social Branding to Reduce Chewing Tobacco Use Among Country Peer Crowd Teens. Health Education & Behavior. 46(2). 286–294. 15 indexed citations
14.
Moran, Meghan Bridgid, et al.. (2017). Why Peer Crowds Matter: Incorporating Youth Subcultures and Values in Health Education Campaigns. American Journal of Public Health. 107(3). 389–395. 65 indexed citations
15.
Watson, Dennis P., et al.. (2013). Understanding the Critical Ingredients for Facilitating Consumer Change in Housing First Programming: A Case Study Approach. The Journal of Behavioral Health Services & Research. 40(2). 169–179. 31 indexed citations
16.
Watson, Dennis P., et al.. (2013). The housing first model (HFM) fidelity index: designing and testing a tool for measuring integrity of housing programs that serve active substance users. Substance Abuse Treatment Prevention and Policy. 8(1). 16–16. 30 indexed citations
17.
Mallett, Robyn K., et al.. (2011). Do I belong? It depends on when you ask.. Cultural Diversity & Ethnic Minority Psychology. 17(4). 432–436. 35 indexed citations
18.
Mallett, Robyn K. & Dana E. Wagner. (2010). The unexpectedly positive consequences of confronting sexism. Journal of Experimental Social Psychology. 47(1). 215–220. 75 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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