Ann Yi
Impact in
-
- Ultrasound Imaging and Elastography
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Endocrinology top 5%
Papers in
-
- Ultrasound Imaging and Elastography 9
- MRI in cancer diagnosis 8
-
- Digital Radiography and Breast Imaging 15
- Co-authors
- Jung Min Chang (39 shared papers)Nariya Cho (38 shared papers)Woo Kyung Moon (37 shared papers)Hye Ryoung Koo (21 shared papers)Seung Ja Kim (9 shared papers)Su Hyun Lee (19 shared papers)Min Sun Bae (11 shared papers)Won Hwa Kim (13 shared papers)
- Journals
- Radiology (15 papers)Korean Journal of Radiology (8 papers)European Radiology (7 papers)British Journal of Radiology (4 papers)Journal of Clinical Microbiology (3 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Ann Yi
70 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 1.2k
- Endocrinology 134
- Cancer Research 302
- Pathology and Forensic Medicine 307
- Biomedical Engineering 419
Countries citing papers authored by Ann Yi
This map shows the geographic impact of Ann Yi'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 Ann Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Yi more than expected).
Fields of papers citing papers by Ann Yi
This network shows the impact of papers produced by Ann Yi. 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 Ann Yi. The network helps show where Ann Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann Yi, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 295 | |
| 2 | 2013 | 149 | |
| 3 | 2013 | 147 | |
| 4 | 2013 | 129 | |
| 5 | 2012 | 115 | |
| 6 | 2012 | 97 | |
| 7 | 1991 | 80 | |
| 8 | 2013 | 77 | |
| 9 | 2011 | 71 | |
| 10 | 2014 | 70 | |
| 11 | 2011 | 60 | |
| 12 | 1989 | 60 | |
| 13 | 2010 | 57 | |
| 14 | 2013 | 48 | |
| 15 | 2017 | 48 | |
| 16 | 2009 | 48 | |
| 17 | 2013 | 45 | |
| 18 | 2013 | 44 | |
| 19 | 2011 | 41 | |
| 20 | 2019 | 40 |
About Ann Yi
Ann Yi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Cancer Research and Artificial Intelligence, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (15 papers), Breast Lesions and Carcinomas (13 papers), Breast Cancer Treatment Studies (10 papers), Ultrasound Imaging and Elastography (9 papers), MRI in cancer diagnosis (8 papers), AI in cancer detection (7 papers), Salmonella and Campylobacter epidemiology (5 papers) and Global Cancer Incidence and Screening (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Endocrinology (134 citations), Cancer Research (302 citations), Pathology and Forensic Medicine (307 citations) and Biomedical Engineering (419 citations). Ann Yi has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jung Min Chang, Nariya Cho, Woo Kyung Moon, Hye Ryoung Koo, Seung Ja Kim, Su Hyun Lee, Min Sun Bae, Won Hwa Kim, Hyeong‐Gon Moon and Dong‐Young Noh. Their work appears in journals such as Radiology, Korean Journal of Radiology, European Radiology, British Journal of Radiology and Journal of Clinical Microbiology.
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.