Suji Lee
Impact in
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Cardiac Imaging and Diagnostics 7
- Radiomics and Machine Learning in Medical Imaging 4
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- Lung Cancer Diagnosis and Treatment 3
- Co-authors
- Wanlu Li (2 shared papers)Mee-Yon Cho (2 shared papers)Junsoo Park (1 shared paper)Rackhyun Park (1 shared paper)Young Joo Suh (10 shared papers)Byoung Wook Choi (5 shared papers)Jae‐Ho Cheong (3 shared papers)Sung Yoon Park (1 shared paper)
- Journals
- European Radiology (6 papers)Korean Journal of Radiology (4 papers)PLoS ONE (3 papers)Cancer Research (2 papers)American Journal of Roentgenology (2 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Suji Lee
33 papers receiving 258 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 7
- Cancer Research 57
- Radiology, Nuclear Medicine and Imaging 48
- Pulmonary and Respiratory Medicine 61
- Oncology 44
Countries citing papers authored by Suji Lee
This map shows the geographic impact of Suji 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 Suji Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suji Lee more than expected).
Fields of papers citing papers by Suji Lee
This network shows the impact of papers produced by Suji 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 Suji Lee. The network helps show where Suji Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Suji 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 40 | |
| 2 | 2019 | 33 | |
| 3 | 2018 | 23 | |
| 4 | 2023 | 21 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 6 | |
| 15 | Characterization of Isoflavones from Seed of Selected Soybean (Glycine max L.) Resources Using High-Resolution Mass Spectrometry | 2020 | 6 |
| 16 | 2019 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2019 | 4 |
About Suji Lee
Suji Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 263 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Extracellular vesicles in disease (5 papers), Advanced X-ray and CT Imaging (4 papers), MicroRNA in disease regulation (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (7 citations), Cancer Research (57 citations), Radiology, Nuclear Medicine and Imaging (48 citations), Pulmonary and Respiratory Medicine (61 citations) and Oncology (44 citations). Suji Lee has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Wanlu Li, Mee-Yon Cho, Junsoo Park, Rackhyun Park, Young Joo Suh, Byoung Wook Choi, Jae‐Ho Cheong, Sung Yoon Park, Young Taik Oh and Abraham K. Badu‐Tawiah. Their work appears in journals such as European Radiology, Korean Journal of Radiology, PLoS ONE, Cancer Research and American Journal of Roentgenology.
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.