Su‐Ju Lee
Impact in
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- Breast Lesions and Carcinomas
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
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- MRI in cancer diagnosis 7
- Medical Imaging Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 3
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- Breast Cancer Treatment Studies 11
- Co-authors
- Mary C. Mahoney (16 shared papers)Mary S. Newell (11 shared papers)Ana P. Lourenço (8 shared papers)Linda Moy (7 shared papers)Monica Yepes (7 shared papers)Edward D. Green (6 shared papers)Priscilla J. Slanetz (6 shared papers)Martha B. Mainiero (8 shared papers)
- Journals
- Journal of the American College of Radiology (10 papers)American Journal of Roentgenology (5 papers)The Breast Journal (2 papers)European Journal of Radiology (1 paper)Academic Radiology (1 paper)
- Partner nations
- United States
In The Last Decade
Su‐Ju Lee
24 papers receiving 548 citations
Peers
Comparison fields: 5 of 52
- Pathology and Forensic Medicine 236
- Cancer Research 197
- Radiology, Nuclear Medicine and Imaging 210
- Dermatology 71
- Oncology 193
Countries citing papers authored by Su‐Ju Lee
This map shows the geographic impact of Su‐Ju 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 Su‐Ju Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Ju Lee more than expected).
Fields of papers citing papers by Su‐Ju Lee
This network shows the impact of papers produced by Su‐Ju 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 Su‐Ju Lee. The network helps show where Su‐Ju Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Su‐Ju 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 119 | |
| 2 | 2016 | 69 | |
| 3 | 2017 | 60 | |
| 4 | 2017 | 52 | |
| 5 | 2017 | 44 | |
| 6 | 2009 | 43 | |
| 7 | 2016 | 24 | |
| 8 | 2017 | 24 | |
| 9 | 2018 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2011 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2017 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2019 | 3 | |
| 20 | 2022 | 3 |
About Su‐Ju Lee
Su‐Ju Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 24 papers that have together received 559 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (9 papers), MRI in cancer diagnosis (7 papers), Medical Imaging Techniques and Applications (6 papers), Digital Radiography and Breast Imaging (6 papers), Global Cancer Incidence and Screening (4 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (236 citations), Cancer Research (197 citations), Radiology, Nuclear Medicine and Imaging (210 citations), Dermatology (71 citations) and Oncology (193 citations). Su‐Ju Lee has collaborated with scholars based in United States. Frequent co-authors include Mary C. Mahoney, Mary S. Newell, Ana P. Lourenço, Linda Moy, Monica Yepes, Edward D. Green, Priscilla J. Slanetz, Martha B. Mainiero, Anna I. Holbrook and Roberta M. diFlorio‐Alexander. Their work appears in journals such as Journal of the American College of Radiology, American Journal of Roentgenology, The Breast Journal, European Journal of Radiology and Academic Radiology.
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.