Won Woo Lee
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- Gastroenterology top 5%
Papers in
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- Medical Imaging Techniques and Applications 20
- MRI in cancer diagnosis 7
- Radiomics and Machine Learning in Medical Imaging 7
- Cardiac Imaging and Diagnostics 6
- Advanced MRI Techniques and Applications 5
- Co-authors
- Sang Eun KimYoung SoYoo Sung SongHyung‐Ho KimMatthias NahrendorfDo Joong ParkPil‐Young YunJae Hoon Moon
- Journals
- Korean Journal of Radiology (6 papers)Scientific Reports (5 papers)Medicine (3 papers)EJNMMI Physics (2 papers)Prostate International (2 papers)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Won Woo Lee
78 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Radiology, Nuclear Medicine and Imaging 496
- Gastroenterology 86
- Pulmonary and Respiratory Medicine 388
- Surgery 405
- Cardiology and Cardiovascular Medicine 185
Countries citing papers authored by Won Woo Lee
This map shows the geographic impact of Won Woo 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 Won Woo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Woo Lee more than expected).
Fields of papers citing papers by Won Woo Lee
This network shows the impact of papers produced by Won Woo 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 Won Woo Lee. The network helps show where Won Woo Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Won Woo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 6 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 54 | |
| 13 | 2019 | 10 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 12 | |
| 16 | 2014 | 8 | |
| 17 | 2013 | 11 | |
| 18 | 2011 | 17 | |
| 19 | 2010 | 10 | |
| 20 | 2006 | 17 |
About Won Woo Lee
Won Woo Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Complementary and Manual Therapy, Endocrinology, Diabetes and Metabolism, Neurology and Pulmonary and Respiratory Medicine, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (20 papers), Thyroid Cancer Diagnosis and Treatment (12 papers), Thyroid Disorders and Treatments (8 papers), MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cardiac Imaging and Diagnostics (6 papers), Advanced MRI Techniques and Applications (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (496 citations), Gastroenterology (86 citations), Pulmonary and Respiratory Medicine (388 citations), Surgery (405 citations) and Cardiology and Cardiovascular Medicine (185 citations). Won Woo Lee has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Sang Eun Kim, Young So, Yoo Sung Song, Hyung‐Ho Kim, Matthias Nahrendorf, Do Joong Park, Pil‐Young Yun, Jae Hoon Moon, So Yeon Park and Young‐Kyun Kim. Their work appears in journals such as Korean Journal of Radiology, Scientific Reports, Medicine, EJNMMI Physics and Prostate International.
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.