Eun Sook Ko
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Cancer Research top 2%
- Pathology and Forensic Medicine top 2%
- Artificial Intelligence top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Boo‐Kyung HanEun Young KoSoo Yeon HahnJi Soo ChoiJung Hee ShinSeok Jin NamYaeji LimHyunjin Park
- Topics
- MRI in cancer diagnosis (43 papers)Breast Lesions and Carcinomas (39 papers)Radiomics and Machine Learning in Medical Imaging (36 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Eun Sook Ko
91 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 1.7k
- Cancer Research 664
- Pathology and Forensic Medicine 613
- Artificial Intelligence 544
- Pulmonary and Respiratory Medicine 388
Countries citing papers authored by Eun Sook Ko
This map shows the geographic impact of Eun Sook Ko'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 Eun Sook Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun Sook Ko more than expected).
Fields of papers citing papers by Eun Sook Ko
This network shows the impact of papers produced by Eun Sook Ko. 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 Eun Sook Ko. The network helps show where Eun Sook Ko may publish in the future.
Co-authorship network of co-authors of Eun Sook Ko
This figure shows the co-authorship network connecting the top 25 collaborators of Eun Sook Ko. A scholar is included among the top collaborators of Eun Sook Ko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eun Sook Ko. Eun Sook Ko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 189 | |
| 11 | 18 | |
| 12 | 21 | |
| 13 | 14 | |
| 14 | 59 | |
| 15 | 45 | |
| 16 | 14 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 23 | |
| 20 | 1 |
About Eun Sook Ko
Eun Sook Ko is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (43 papers), Breast Lesions and Carcinomas (39 papers) and Radiomics and Machine Learning in Medical Imaging (36 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Cancer Research (664 citations) and Pathology and Forensic Medicine (613 citations). Eun Sook Ko has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Boo‐Kyung Han, Eun Young Ko, Soo Yeon Hahn, Ji Soo Choi, Jung Hee Shin, Seok Jin Nam, Yaeji Lim, Hyunjin Park, Jeong Eon Lee and Byung Hee Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.