Suji Lee
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
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- Extracellular vesicles in disease 5
- Molecular Biology Techniques and Applications 2
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- Cardiac Imaging and Diagnostics 4
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Wanlu Li (2 shared papers)Mee-Yon Cho (2 shared papers)Rackhyun Park (1 shared paper)Young Joo Suh (9 shared papers)Junsoo Park (1 shared paper)Young Jin Kim (7 shared papers)Byoung Wook Choi (5 shared papers)Sung Yoon Park (1 shared paper)
- Journals
- European Radiology (6 papers)Korean Journal of Radiology (4 papers)PLoS ONE (3 papers)American Journal of Roentgenology (2 papers)Cancer Research (2 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Suji Lee
33 papers receiving 285 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 57
- Health Informatics 5
- Pulmonary and Respiratory Medicine 52
- Oncology 38
- Molecular Biology 103
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 42 | |
| 2 | 2019 | 34 | |
| 3 | 2023 | 28 | |
| 4 | 2018 | 24 | |
| 5 | 2020 | 17 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 6 | |
| 15 | Characterization of Isoflavones from Seed of Selected Soybean (Glycine max L.) Resources Using High-Resolution Mass Spectrometry | 2020 | 6 |
| 16 | 2024 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 5 |
About Suji Lee
Suji Lee is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 37 papers that have together received 290 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers), Cardiac Imaging and Diagnostics (4 papers), Cancer Cells and Metastasis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Molecular Biology Techniques and Applications (2 papers), Immunotherapy and Immune Responses (2 papers) and Engineering Applied Research (2 papers). The work is most often cited by research in Cancer Research (57 citations), Health Informatics (5 citations), Pulmonary and Respiratory Medicine (52 citations), Oncology (38 citations) and Molecular Biology (103 citations). Suji Lee has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Wanlu Li, Mee-Yon Cho, Rackhyun Park, Young Joo Suh, Junsoo Park, Young Jin Kim, Byoung Wook Choi, Sung Yoon Park, Dae Chul Jung and Young Taik Oh. Their work appears in journals such as European Radiology, Korean Journal of Radiology, PLoS ONE, American Journal of Roentgenology and Cancer Research.
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.