Chung-won Lee

418 total citations
8 papers, 317 citations indexed

About

Chung-won Lee is a scholar working on General Health Professions, Epidemiology and Health. According to data from OpenAlex, Chung-won Lee has authored 8 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 3 papers in Epidemiology and 2 papers in Health. Recurrent topics in Chung-won Lee's work include Virology and Viral Diseases (2 papers), Global Health Care Issues (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Chung-won Lee is often cited by papers focused on Virology and Viral Diseases (2 papers), Global Health Care Issues (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Chung-won Lee collaborates with scholars based in United States, Switzerland and Australia. Chung-won Lee's co-authors include Jennifer Kahende, Janet Moore, Thato Farirai, Trevor Woollery, Shona Dalal, Naomi Bock, Vance Dietz, Varja Grabovac, Yan Zhang and Hardeep Sandhu and has published in prestigious journals such as PLoS ONE, American Journal of Public Health and Vaccine.

In The Last Decade

Chung-won Lee

7 papers receiving 296 citations

Peers

Chung-won Lee
Jessica L. Muilenburg United States
Raees A. Shaikh United States
Laura M. Mussulman United States
L. Roberts Ireland
Christina V. Scirica United States
Amina Khan United Kingdom
Chung-won Lee
Citations per year, relative to Chung-won Lee Chung-won Lee (= 1×) peers Haoxiang Lin

Countries citing papers authored by Chung-won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chung-won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-won 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 Chung-won Lee. The network helps show where Chung-won Lee may publish in the future.

Co-authorship network of co-authors of Chung-won Lee

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

All Works

8 of 8 papers shown
4.
Lee, Chung-won, et al.. (2017). Root Causes of Poor Immunisation Data Quality and Proven Interventions: A Systematic Literature Review.. PubMed. 2(1). 1–7. 3 indexed citations
6.
Kahende, Jennifer, Trevor Woollery, & Chung-won Lee. (2008). Assessing medical expenditures on 4 smoking-related diseases, 1996-2001.. PubMed. 31(6). 602–11. 10 indexed citations
7.
Lee, Chung-won & Jennifer Kahende. (2007). Factors Associated With Successful Smoking Cessation in the United States, 2000. American Journal of Public Health. 97(8). 1503–1509. 248 indexed citations
8.
Kahende, Jennifer, Trevor Woollery, & Chung-won Lee. (2007). Assessing Medical Expenditures on 4 Smoking-related Diseases, 19962001. American Journal of Health Behavior. 31(6). 602–611. 8 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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