Won Mo Jang
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Healthcare Policy and Management 9
- COVID-19 Pandemic Impacts 4
-
- Patient Satisfaction in Healthcare 7
- Co-authors
- Jin Yong Lee (16 shared papers)Sang Jun Eun (10 shared papers)Hyemin Jung (6 shared papers)Sang‐Hyun Cho (2 shared papers)Yoon Kim (8 shared papers)Hyun‐Kyung Park (2 shared papers)Hye Sook Ahn (1 shared paper)Kwangil Yim (2 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (3 papers)Journal of Korean Medical Science (3 papers)PLoS ONE (3 papers)BMJ Open (2 papers)Risk Management and Healthcare Policy (2 papers)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Won Mo Jang
29 papers receiving 313 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 58
- Health 56
- Economics and Econometrics 92
- Clinical Psychology 65
- Applied Psychology 15
Countries citing papers authored by Won Mo Jang
This map shows the geographic impact of Won Mo Jang'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 Won Mo Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Mo Jang more than expected).
Fields of papers citing papers by Won Mo Jang
This network shows the impact of papers produced by Won Mo Jang. 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 Won Mo Jang. The network helps show where Won Mo Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Won Mo Jang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2020 | 44 | |
| 3 | 2021 | 41 | |
| 4 | 2019 | 29 | |
| 5 | 2012 | 26 | |
| 6 | 2011 | 18 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 8 | |
| 11 | Alcohol consumption and the risk of type 2 diabetes mellitus: effect modification by hypercholesterolemia: the Third Korea National Health and Nutrition Examination Survey (2005). | 2012 | 7 |
| 12 | 2019 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2013 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2021 | 2 | |
| 20 | 2023 | 2 |
About Won Mo Jang
Won Mo Jang is a scholar working on Economics and Econometrics, General Health Professions, Health, Sociology and Political Science and Finance, having authored 33 papers that have together received 323 indexed citations. Recurring topics across this work include Healthcare Policy and Management (9 papers), Patient Satisfaction in Healthcare (7 papers), COVID-19 Pandemic Impacts (4 papers), Healthcare Systems and Reforms (4 papers), Behavioral Health and Interventions (3 papers), Vaccine Coverage and Hesitancy (3 papers), Misinformation and Its Impacts (3 papers) and Risk Perception and Management (3 papers). The work is most often cited by research in Modeling and Simulation (58 citations), Health (56 citations), Economics and Econometrics (92 citations), Clinical Psychology (65 citations) and Applied Psychology (15 citations). Won Mo Jang has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Jin Yong Lee, Sang Jun Eun, Hyemin Jung, Sang‐Hyun Cho, Yoon Kim, Hyun‐Kyung Park, Hye Sook Ahn, Kwangil Yim, Sung Hak Lee and Min Sun Shin. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Korean Medical Science, PLoS ONE, BMJ Open and Risk Management and Healthcare Policy.
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.