Moon J. Lee

1.4k total citations
36 papers, 875 citations indexed

About

Moon J. Lee is a scholar working on Literature and Literary Theory, Sociology and Political Science and Communication. According to data from OpenAlex, Moon J. Lee has authored 36 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Literature and Literary Theory, 10 papers in Sociology and Political Science and 9 papers in Communication. Recurrent topics in Moon J. Lee's work include Media Influence and Health (13 papers), Behavioral Health and Interventions (7 papers) and Social Media and Politics (5 papers). Moon J. Lee is often cited by papers focused on Media Influence and Health (13 papers), Behavioral Health and Interventions (7 papers) and Social Media and Politics (5 papers). Moon J. Lee collaborates with scholars based in United States and South Korea. Moon J. Lee's co-authors include Hannah Kang, Mary Ann Ferguson, Shannon L. Bichard, Guang-Xin Xie, Eric G. Hansen, Stacey J. T. Hust, Yunying Zhang, Lingling Zhang, Linda S. Steinberg and Robert J. Mislevy and has published in prestigious journals such as Computers in Human Behavior, System and Journal of Computer-Mediated Communication.

In The Last Decade

Moon J. Lee

34 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moon J. Lee United States 19 373 188 170 152 128 36 875
Matthias R. Hastall Germany 15 581 1.6× 256 1.4× 372 2.2× 84 0.6× 104 0.8× 45 1.0k
Raymond W. Preiss United States 14 363 1.0× 302 1.6× 178 1.0× 98 0.6× 212 1.7× 29 838
Anthony M. Limperos United States 11 696 1.9× 227 1.2× 361 2.1× 101 0.7× 159 1.2× 28 1.2k
Cassie A. Eno United States 11 375 1.0× 102 0.5× 93 0.5× 83 0.5× 134 1.0× 27 636
Jong‐Eun Roselyn Lee United States 9 739 2.0× 182 1.0× 256 1.5× 39 0.3× 180 1.4× 12 983
Hillary C. Shulman United States 19 818 2.2× 219 1.2× 328 1.9× 65 0.4× 362 2.8× 43 1.3k
Tama Leaver Australia 15 549 1.5× 81 0.4× 281 1.7× 239 1.6× 85 0.7× 59 1.1k
Gerd Antos Germany 5 516 1.4× 127 0.7× 257 1.5× 72 0.5× 522 4.1× 20 1.2k
Inge Brechan Norway 6 562 1.5× 67 0.4× 247 1.5× 39 0.3× 174 1.4× 10 1.1k
Elizabeth Behm‐Morawitz United States 19 696 1.9× 382 2.0× 233 1.4× 527 3.5× 247 1.9× 49 1.4k

Countries citing papers authored by Moon J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Moon J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moon J. Lee. 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 Moon J. Lee. The network helps show where Moon J. Lee may publish in the future.

Co-authorship network of co-authors of Moon J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Moon J. Lee. A scholar is included among the top collaborators of Moon J. Lee 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 Moon J. Lee. Moon J. Lee 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.
Lee, Moon J.. (2017). College Students’ Responses to Emotional Anti–Alcohol Abuse Media Messages: Should We Scare or Amuse Them?. Health Promotion Practice. 19(3). 465–474. 11 indexed citations
2.
Kang, Hannah & Moon J. Lee. (2017). Designing Anti-Binge Drinking Prevention Messages: Message Framing vs. Evidence Type. Health Communication. 33(12). 1494–1502. 18 indexed citations
3.
Lee, Moon J. & Hannah Kang. (2017). Designing Skin Cancer Prevention Messages: Should We Emphasize Gains or Losses? Message Framing, Risk Type, and Prior Experience. American Journal of Health Promotion. 32(4). 939–948. 21 indexed citations
4.
Lee, Moon J., et al.. (2016). Portrayals of Eating and Drinking in Popular American TV Programs: A Comparison of Scripted and Unscripted Shows. Journal of Health Communication. 21(5). 593–599. 2 indexed citations
5.
Lee, Moon J., et al.. (2016). Increasing individuals' involvement and WOM intention on Social Networking Sites: Content matters!. Computers in Human Behavior. 60. 223–232. 39 indexed citations
6.
Lee, Moon J., et al.. (2016). Circulating Humorous Antitobacco Videos on Social Media. Health Promotion Practice. 18(2). 184–192. 10 indexed citations
7.
Lee, Moon J., et al.. (2015). Potential Motivators and Barriers for Encouraging Health Screening for Cardiovascular Disease Among Latino Men in Rural Communities in the Northwestern United States. Journal of Immigrant and Minority Health. 18(2). 411–419. 12 indexed citations
8.
Lee, Moon J., et al.. (2014). Do Online Comments Influence the Public's Attitudes Toward an Organization? Effects of Online Comments Based on Individuals’ Prior Attitudes. The Journal of Psychology. 149(4). 325–338. 37 indexed citations
11.
Lee, Moon J.. (2010). The Effects of Self-Efficacy Statements in Humorous Anti-Alcohol Abuse Messages Targeting College Students: Who Is In Charge?. Health Communication. 25(8). 638–646. 18 indexed citations
12.
Lee, Moon J., Stacey J. T. Hust, Lingling Zhang, & Yunying Zhang. (2010). Effects of Violence Against Women in Popular Crime Dramas on Viewers' Attitudes Related to Sexual Violence. Mass Communication & Society. 14(1). 25–44. 28 indexed citations
13.
Lee, Moon J., et al.. (2009). Television Viewing and Ethnic Stereotypes: Do College Students Form Stereotypical Perceptions of Ethnic Groups as a Result of Heavy Television Consumption?. Howard Journal of Communications. 20(1). 95–110. 44 indexed citations
14.
Xie, Guang-Xin & Moon J. Lee. (2008). Anticipated Violence, Arousal, and Enjoyment of Movies: Viewers' Reactions to Violent Previews Based on Arousal-Seeking Tendency. The Journal of Social Psychology. 148(3). 277–292. 23 indexed citations
15.
Lee, Moon J. & Shannon L. Bichard. (2006). Effective Message Design Targeting College Students for the Prevention of Binge-Drinking: Basing Design on Rebellious Risk-Taking Tendency. Health Communication. 20(3). 299–308. 12 indexed citations
16.
Hansen, Eric G., et al.. (2005). Accessibility of tests for individuals with disabilities within a validity framework. System. 33(1). 107–133. 20 indexed citations
17.
Hansen, Eric G., et al.. (2004). Toward Accessible Computer-Based Tests: Prototypes for Visual and Other Disabilities. TOEFL Research Report. TOEFL RR-78. ETS Research Report. RR-04-25.. ETS Research Report Series. 4 indexed citations
18.
Hansen, Eric G., et al.. (2004). TOWARD ACCESSIBLE COMPUTER‐BASED TESTS: PROTOTYPES FOR VISUAL AND OTHER DISABILITIES. ETS Research Report Series. 2004(1). 11 indexed citations
19.
Lee, Moon J.. (2002). Effective tailored communication in learning from hypertext : introducing expanding hypertext based on individuals' sensation-seeking and working memory capacity. UMI eBooks. 1 indexed citations
20.
Lee, Moon J. & Mary Ann Ferguson. (2002). Effects of Anti-Tobacco Advertisements Based on Risk-Taking Tendencies: Realistic Fear vs. Vulgar Humor. Journalism & Mass Communication Quarterly. 79(4). 945–963. 40 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026