Jong Eun Lee
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Lung Cancer Diagnosis and Treatment 6
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- Cardiac Imaging and Diagnostics 4
- COVID-19 diagnosis using AI 4
- Co-authors
- Yun‐Hyeon Kim (21 shared papers)Yeon Joo Jeong (12 shared papers)Won Gi Jeong (20 shared papers)Kum Ju Chae (8 shared papers)Myung Jin Chung (5 shared papers)Kyung Soo Lee (2 shared papers)Hyo Soon Lim (8 shared papers)Yu Mi Wi (1 shared paper)
- Journals
- Radiology (7 papers)Korean Journal of Radiology (5 papers)European Radiology (2 papers)American Journal of Roentgenology (2 papers)Journal of Korean Medical Science (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jong Eun Lee
46 papers receiving 359 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 8
- Infectious Diseases 92
- Radiology, Nuclear Medicine and Imaging 81
- Neurology 43
- Pulmonary and Respiratory Medicine 82
Countries citing papers authored by Jong Eun Lee
This map shows the geographic impact of Jong Eun 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 Jong Eun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong Eun Lee more than expected).
Fields of papers citing papers by Jong Eun Lee
This network shows the impact of papers produced by Jong Eun 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 Jong Eun Lee. The network helps show where Jong Eun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jong Eun Lee, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 42 | |
| 2 | 2023 | 38 | |
| 3 | 2022 | 30 | |
| 4 | 2020 | 25 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 22 | |
| 7 | 2024 | 20 | |
| 8 | 2024 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 5 | |
| 17 | Cardiovascular Disease Management among Workers in Small-Sized Enterprise Using Community-Based Approach | 2010 | 5 |
| 18 | 2018 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2020 | 5 |
About Jong Eun Lee
Jong Eun Lee is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Surgery and Pathology and Forensic Medicine, having authored 57 papers that have together received 363 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Cancer and Skin Lesions (6 papers), Breast Lesions and Carcinomas (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Breast Cancer Treatment Studies (5 papers), Cardiac Imaging and Diagnostics (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Health Informatics (8 citations), Infectious Diseases (92 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Neurology (43 citations) and Pulmonary and Respiratory Medicine (82 citations). Jong Eun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Yun‐Hyeon Kim, Yeon Joo Jeong, Won Gi Jeong, Kum Ju Chae, Myung Jin Chung, Kyung Soo Lee, Hyo Soon Lim, Yu Mi Wi, Jin Young Yoo and Si‐Ho Kim. Their work appears in journals such as Radiology, Korean Journal of Radiology, European Radiology, American Journal of Roentgenology and Journal of Korean Medical Science.
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.