Bo Ra Kwon
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
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- Breast Cancer Treatment Studies
Papers in
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- MRI in cancer diagnosis 4
- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 2
- Surgery 3
- Intraperitoneal and Appendiceal Malignancies 1
- Co-authors
- Jung Min Chang (9 shared papers)Nariya Cho (8 shared papers)Sung Ui Shin (7 shared papers)Woo Kyung Moon (8 shared papers)Soo‐Yeon Kim (6 shared papers)Su Hyun Lee (6 shared papers)Ann Yi (5 shared papers)Su Hyun Lee (2 shared papers)
- Journals
- Korean Journal of Radiology (5 papers)Radiology (3 papers)Acta Radiologica (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (1 paper)European Radiology (1 paper)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Bo Ra Kwon
14 papers receiving 282 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 120
- Cancer Research 58
- Health Informatics 5
- Reproductive Medicine 14
- Pathology and Forensic Medicine 24
Countries citing papers authored by Bo Ra Kwon
This map shows the geographic impact of Bo Ra Kwon'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 Bo Ra Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Ra Kwon more than expected).
Fields of papers citing papers by Bo Ra Kwon
This network shows the impact of papers produced by Bo Ra Kwon. 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 Bo Ra Kwon. The network helps show where Bo Ra Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Ra Kwon, 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 | 2018 | 52 | |
| 2 | 2017 | 42 | |
| 3 | 2015 | 34 | |
| 4 | 2018 | 29 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 23 | |
| 7 | 2016 | 15 | |
| 8 | 2019 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2023 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2020 | 4 | |
| 14 | 2018 | 1 | |
| 15 | 2011 | 0 |
About Bo Ra Kwon
Bo Ra Kwon is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 15 papers that have together received 285 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Breast Cancer Treatment Studies (2 papers), AI in cancer detection (2 papers), Breast Lesions and Carcinomas (2 papers), Digital Radiography and Breast Imaging (2 papers) and Intraperitoneal and Appendiceal Malignancies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (120 citations), Cancer Research (58 citations), Health Informatics (5 citations), Reproductive Medicine (14 citations) and Pathology and Forensic Medicine (24 citations). Bo Ra Kwon has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Jung Min Chang, Nariya Cho, Sung Ui Shin, Woo Kyung Moon, Soo‐Yeon Kim, Su Hyun Lee, Ann Yi, Su Hyun Lee, Myoung‐jin Jang and Woo Kyung Moon. Their work appears in journals such as Korean Journal of Radiology, Radiology, Acta Radiologica, European Journal of Nuclear Medicine and Molecular Imaging and European 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.