Woo Kyung Moon
- Radiology, Nuclear Medicine and Imaging top 0.05%
- MRI in cancer diagnosis 89
- Radiomics and Machine Learning in Medical Imaging 76
- Medical Imaging Techniques and Applications 42
- Ultrasound Imaging and Elastography 40
- Cancer Research top 0.2%
- Breast Cancer Treatment Studies 102
- Pathology and Forensic Medicine top 0.2%
- Breast Lesions and Carcinomas 124
- Biomaterials top 0.2%
- Biomedical Engineering top 0.2%
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- AI in cancer detection 88
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- Digital Radiography and Breast Imaging 42
- Co-authors
- Nariya ChoJung Min ChangTaeghwan HyeonNohyun LeeIn Chan SongHyoungsu KimHoe Suk KimSeung Hong Choi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (3 papers)Advanced Materials (2 papers)
- Partner nations
- South KoreaEthiopiaTaiwan
In The Last Decade
Woo Kyung Moon
364 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Radiology, Nuclear Medicine and Imaging 6.1k
- Cancer Research 3.2k
- Pathology and Forensic Medicine 3.0k
- Biomaterials 2.1k
- Biomedical Engineering 4.3k
Countries citing papers authored by Woo Kyung Moon
This map shows the geographic impact of Woo Kyung Moon'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 Woo Kyung Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woo Kyung Moon more than expected).
Fields of papers citing papers by Woo Kyung Moon
This network shows the impact of papers produced by Woo Kyung Moon. 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 Woo Kyung Moon. The network helps show where Woo Kyung Moon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Woo Kyung Moon, 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 | 2024 | 13 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 24 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 21 | |
| 15 | 2020 | 14 | |
| 16 | 2012 | 17 | |
| 17 | 2012 | 96 | |
| 18 | 2012 | 47 | |
| 19 | 2007 | 5 | |
| 20 | 1994 | 1 |
About Woo Kyung Moon
Woo Kyung Moon is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine, having authored 374 papers that have together received 16.0k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (124 papers), Breast Cancer Treatment Studies (102 papers), MRI in cancer diagnosis (89 papers), AI in cancer detection (88 papers), Radiomics and Machine Learning in Medical Imaging (76 papers), Digital Radiography and Breast Imaging (42 papers), Medical Imaging Techniques and Applications (42 papers) and Ultrasound Imaging and Elastography (40 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (6.1k citations), Cancer Research (3.2k citations) and Pathology and Forensic Medicine (3.0k citations). Woo Kyung Moon has collaborated with scholars based in South Korea, Ethiopia and Taiwan. Frequent co-authors include Nariya Cho, Jung Min Chang, Taeghwan Hyeon, Nohyun Lee, In Chan Song, Hyoungsu Kim, Hoe Suk Kim, Seung Hong Choi, Wonshik Han and Ruey‐Feng Chang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.
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.