Nariya Cho
Impact in
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- MRI in cancer diagnosis
- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Cancer Research top 1%
- Breast Cancer Treatment Studies
Papers in
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- MRI in cancer diagnosis 48
- Ultrasound Imaging and Elastography 18
- Medical Imaging Techniques and Applications 17
- Radiomics and Machine Learning in Medical Imaging 16
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- Breast Cancer Treatment Studies 55
- Co-authors
- Woo Kyung Moon (166 shared papers)Jung Min Chang (103 shared papers)Wonshik Han (52 shared papers)Linda P. Moy (2 shared papers)Ritse M. Mann (1 shared paper)Ann Yi (37 shared papers)Seung Ja Kim (28 shared papers)Hye Ryoung Koo (29 shared papers)
- Journals
- Radiology (36 papers)Korean Journal of Radiology (27 papers)Acta Radiologica (20 papers)European Radiology (19 papers)American Journal of Roentgenology (11 papers)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Nariya Cho
214 papers receiving 7.4k citations
Nariya Cho's Hit Papers
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 3.8k
- Cancer Research 1.6k
- Pathology and Forensic Medicine 1.4k
- Oncology 668
- Artificial Intelligence 923
Countries citing papers authored by Nariya Cho
This map shows the geographic impact of Nariya Cho'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 Nariya Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nariya Cho more than expected).
Fields of papers citing papers by Nariya Cho
This network shows the impact of papers produced by Nariya Cho. 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 Nariya Cho. The network helps show where Nariya Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Nariya Cho, 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 220 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Breast MRI: State of the Art Hit paper breakdown → | 2019 | 630 |
| 2 | 2011 | 308 | |
| 3 | 2010 | 239 | |
| 4 | 2011 | 160 | |
| 5 | 2013 | 156 | |
| 6 | 2013 | 144 | |
| 7 | 2011 | 129 | |
| 8 | 2017 | 128 | |
| 9 | 2010 | 127 | |
| 10 | 2008 | 124 | |
| 11 | 2012 | 121 | |
| 12 | 2009 | 118 | |
| 13 | 2016 | 112 | |
| 14 | 2008 | 106 | |
| 15 | 2014 | 103 | |
| 16 | 2012 | 101 | |
| 17 | 2013 | 92 | |
| 18 | 2011 | 86 | |
| 19 | 2012 | 86 | |
| 20 | 2013 | 83 |
About Nariya Cho
Nariya Cho is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 220 papers that have together received 7.5k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (58 papers), Breast Cancer Treatment Studies (55 papers), MRI in cancer diagnosis (48 papers), Digital Radiography and Breast Imaging (28 papers), AI in cancer detection (23 papers), Ultrasound Imaging and Elastography (18 papers), Medical Imaging Techniques and Applications (17 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.8k citations), Cancer Research (1.6k citations), Pathology and Forensic Medicine (1.4k citations), Oncology (668 citations) and Artificial Intelligence (923 citations). Nariya Cho has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Woo Kyung Moon, Jung Min Chang, Wonshik Han, Linda P. Moy, Ritse M. Mann, Ann Yi, Seung Ja Kim, Hye Ryoung Koo, Su Hyun Lee and Dong‐Young Noh. Their work appears in journals such as Radiology, Korean Journal of Radiology, Acta Radiologica, European Radiology 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.