Sun Mi Kim
Impact in
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- Breast Lesions and Carcinomas
- Cancer Research top 5%
- Breast Cancer Treatment Studies
Papers in
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- Breast Lesions and Carcinomas 37
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- MRI in cancer diagnosis 17
- Radiomics and Machine Learning in Medical Imaging 11
- Co-authors
- Jeong Young Park (20 shared papers)Mijung Jang (56 shared papers)Nariya Cho (27 shared papers)Bo La Yun (46 shared papers)Woo Kyung Moon (25 shared papers)Joo Hee (15 shared papers)Sang Hoon Kim (6 shared papers)Eunyoung Kang (25 shared papers)
- Journals
- Korean Journal of Radiology (21 papers)Radiology (7 papers)Journal of Ultrasound in Medicine (6 papers)Medicine (5 papers)American Journal of Roentgenology (5 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Sun Mi Kim
161 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 132
- Pathology and Forensic Medicine 602
- Cancer Research 468
- Renewable Energy, Sustainability and the Environment 452
- Radiology, Nuclear Medicine and Imaging 557
- Metals and Alloys 51
Countries citing papers authored by Sun Mi Kim
This map shows the geographic impact of Sun Mi Kim'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 Sun Mi Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Mi Kim more than expected).
Fields of papers citing papers by Sun Mi Kim
This network shows the impact of papers produced by Sun Mi Kim. 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 Sun Mi Kim. The network helps show where Sun Mi Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Mi Kim, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 123 | |
| 2 | 2017 | 120 | |
| 3 | 2015 | 118 | |
| 4 | 2009 | 107 | |
| 5 | 2013 | 100 | |
| 6 | 2008 | 81 | |
| 7 | 2017 | 73 | |
| 8 | 2019 | 73 | |
| 9 | 2013 | 68 | |
| 10 | 2016 | 67 | |
| 11 | 2012 | 60 | |
| 12 | 2007 | 60 | |
| 13 | 2005 | 59 | |
| 14 | 2008 | 55 | |
| 15 | 2012 | 55 | |
| 16 | 2007 | 53 | |
| 17 | 2006 | 51 | |
| 18 | 2008 | 50 | |
| 19 | 2017 | 48 | |
| 20 | 2018 | 47 |
About Sun Mi Kim
Sun Mi Kim is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Cancer Research, Materials Chemistry and Pulmonary and Respiratory Medicine, having authored 164 papers that have together received 3.3k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (37 papers), Breast Cancer Treatment Studies (23 papers), MRI in cancer diagnosis (17 papers), Catalytic Processes in Materials Science (14 papers), AI in cancer detection (13 papers), Digital Radiography and Breast Imaging (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Electrocatalysts for Energy Conversion (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (602 citations), Cancer Research (468 citations), Renewable Energy, Sustainability and the Environment (452 citations), Radiology, Nuclear Medicine and Imaging (557 citations) and Metals and Alloys (51 citations). Sun Mi Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jeong Young Park, Mijung Jang, Nariya Cho, Bo La Yun, Woo Kyung Moon, Joo Hee, Sang Hoon Kim, Eunyoung Kang, So Yeon Park and Hak Hee Kim. Their work appears in journals such as Korean Journal of Radiology, Radiology, Journal of Ultrasound in Medicine, Medicine 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.