Chul‐joo Lee

2.5k total citations
50 papers, 1.7k citations indexed

About

Chul‐joo Lee is a scholar working on Sociology and Political Science, Communication and General Health Professions. According to data from OpenAlex, Chul‐joo Lee has authored 50 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Sociology and Political Science, 19 papers in Communication and 19 papers in General Health Professions. Recurrent topics in Chul‐joo Lee's work include Health Literacy and Information Accessibility (16 papers), Social Media and Politics (12 papers) and Media Influence and Health (12 papers). Chul‐joo Lee is often cited by papers focused on Health Literacy and Information Accessibility (16 papers), Social Media and Politics (12 papers) and Media Influence and Health (12 papers). Chul‐joo Lee collaborates with scholars based in United States, South Korea and Singapore. Chul‐joo Lee's co-authors include Dietram A. Scheufele, Jiyoung Chae, Bruce V. Lewenstein, Keith N. Hampton, Andy S.L. Tan, Stacy W. Gray, Nehama Lewis, Jeff Niederdeppe, Joseph N. Cappella and Robert Hornik and has published in prestigious journals such as Journal of Medical Internet Research, Journal of Communication and Patient Education and Counseling.

In The Last Decade

Chul‐joo Lee

47 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chul‐joo Lee United States 22 1.0k 482 439 285 212 50 1.7k
Minsun Shim South Korea 14 608 0.6× 414 0.9× 195 0.4× 196 0.7× 140 0.7× 34 1.2k
Christopher E. Beaudoin United States 23 960 0.9× 325 0.7× 538 1.2× 196 0.7× 163 0.8× 56 1.8k
Sei‐Hill Kim United States 24 910 0.9× 321 0.7× 745 1.7× 158 0.6× 191 0.9× 62 2.1k
Itzhak Yanovitzky United States 19 570 0.6× 250 0.5× 300 0.7× 103 0.4× 247 1.2× 35 1.4k
Kim Walsh-Childers United States 17 379 0.4× 436 0.9× 230 0.5× 148 0.5× 237 1.1× 45 1.3k
Jingyuan Shi Hong Kong 15 568 0.5× 223 0.5× 223 0.5× 170 0.6× 123 0.6× 42 1.0k
Minh Hao Nguyen Switzerland 19 544 0.5× 178 0.4× 190 0.4× 115 0.4× 90 0.4× 39 1.2k
Julie L. Andsager United States 23 505 0.5× 129 0.3× 378 0.9× 161 0.6× 200 0.9× 54 1.3k
Jeanine P. D. Guidry United States 18 823 0.8× 135 0.3× 327 0.7× 695 2.4× 118 0.6× 65 1.6k
Hyunyi Cho United States 25 1.3k 1.3× 284 0.6× 509 1.2× 195 0.7× 679 3.2× 58 2.6k

Countries citing papers authored by Chul‐joo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chul‐joo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chul‐joo 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 Chul‐joo Lee. The network helps show where Chul‐joo Lee may publish in the future.

Co-authorship network of co-authors of Chul‐joo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chul‐joo Lee. A scholar is included among the top collaborators of Chul‐joo 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 Chul‐joo Lee. Chul‐joo 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.
Ihm, Jennifer, et al.. (2024). Whom Does Remote Work Make Happy? The Digital Divide in Remote Workers’ Well-Being. Cyberpsychology Behavior and Social Networking. 27(8). 550–561. 3 indexed citations
2.
3.
Ewoldsen, David R., Natascha Just, Chul‐joo Lee, & Keren Tenenboim‐Weinblatt. (2023). Navigating the seas of inclusivity: a collaborative voyage at the helm of a communication flagship journal. Journal of Communication. 73(6). 533–538. 3 indexed citations
4.
Lee, Chul‐joo, et al.. (2022). Network social capital and health information acquisition. Patient Education and Counseling. 105(9). 2923–2933. 6 indexed citations
5.
Lee, Chul‐joo, et al.. (2021). A communication inequalities approach to disparities in fruit and vegetable consumption: Findings from a national survey with U.S. adults. Patient Education and Counseling. 105(2). 375–382. 5 indexed citations
6.
Kim, Kwanho & Chul‐joo Lee. (2021). Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study. JMIR mhealth and uhealth. 9(2). e24539–e24539. 1 indexed citations
7.
Lee, Chul‐joo, et al.. (2019). A Communication Inequalities Approach to Disparities in Physical Activities: The Case of the VERB Campaign. Journal of Health Communication. 24(2). 111–120. 6 indexed citations
8.
Lee, Chul‐joo & Jiyoung Chae. (2016). An Initial Look at the Associations of a Variety of Health-Related Online Activities With Cancer Fatalism. Health Communication. 31(11). 1375–1384. 13 indexed citations
9.
Lee, Chul‐joo, et al.. (2015). Theorizing the Pathways From Seeking and Scanning to Mammography Screening. Health Communication. 31(1). 117–128. 36 indexed citations
10.
Lee, Chul‐joo, et al.. (2014). Comparing Local TV News with National TV News in Cancer Coverage: An Exploratory Content Analysis. Journal of Health Communication. 19(12). 1330–1342. 13 indexed citations
11.
Lee, Chul‐joo & Jennifer A. Kam. (2014). Why Does Social Capital Matter in Health Communication Campaigns?. Communication Research. 42(4). 459–481. 12 indexed citations
12.
Paskett, Electra D., Adana A. M. Llanos, Gregory Young, et al.. (2013). Correlates of Colorectal Cancer Screening Among Residents of Ohio Appalachia. Journal of Community Health. 38(4). 609–618. 15 indexed citations
13.
Lee, Chul‐joo & Daniel Kim. (2012). A Comparative Analysis of the Validity of US State- and County-Level Social Capital Measures and Their Associations with Population Health. Social Indicators Research. 111(1). 307–326. 44 indexed citations
14.
Lee, Chul‐joo, A. Susana Ramírez, Nehama Lewis, Stacy W. Gray, & Robert Hornik. (2012). Looking Beyond the Internet: Examining Socioeconomic Inequalities in Cancer Information Seeking Among Cancer Patients. Health Communication. 27(8). 806–817. 47 indexed citations
15.
Lee, Chul‐joo, et al.. (2011). Distorting Genetic Research About Cancer: From Bench Science to Press Release to Published News. Journal of Communication. 61(3). 496–513. 32 indexed citations
16.
Lee, Chul‐joo, Stacy W. Gray, & Nehama Lewis. (2010). Internet use leads cancer patients to be active health care consumers. Patient Education and Counseling. 81. S63–S69. 93 indexed citations
17.
Lee, Chul‐joo. (2009). The Interplay Between Media Use and Interpersonal Communication in the Context of Healthy Lifestyle Behaviors: Reinforcing or Substituting?. Mass Communication & Society. 13(1). 48–66. 59 indexed citations
18.
Lee, Chul‐joo & Robert Hornik. (2009). Physician Trust Moderates the Internet Use and Physician Visit Relationship. Journal of Health Communication. 14(1). 70–76. 21 indexed citations
19.
Lee, Chul‐joo. (2008). Does the Internet Displace Health Professionals?. Journal of Health Communication. 13(5). 450–464. 92 indexed citations
20.
Lee, Chul‐joo, Dietram A. Scheufele, & Bruce V. Lewenstein. (2005). Public Attitudes toward Emerging Technologies. Science Communication. 27(2). 240–267. 272 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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2026