Hye Ok Kim
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research top 10%
- Oncology
- Co-authors
- Seung Jun OhDae Hyuk MoonJae Seung KimGi Hyeon SeoKyung‐Sik YoonJin‐Sook RyuMinyoung OhChong Sik Lee
- Topics
- Medical Imaging Techniques and Applications (9 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)MRI in cancer diagnosis (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Hye Ok Kim
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 238
- Neurology 228
- Pulmonary and Respiratory Medicine 204
- Cancer Research 199
- Oncology 163
Countries citing papers authored by Hye Ok Kim
This map shows the geographic impact of Hye Ok 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 Hye Ok Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hye Ok Kim more than expected).
Fields of papers citing papers by Hye Ok Kim
This network shows the impact of papers produced by Hye Ok 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 Hye Ok Kim. The network helps show where Hye Ok Kim may publish in the future.
Co-authorship network of co-authors of Hye Ok Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hye Ok Kim. A scholar is included among the top collaborators of Hye Ok Kim 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 Hye Ok Kim. Hye Ok Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 48 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 44 | |
| 9 | 34 | |
| 10 | 23 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | 22 | |
| 14 | 212 | |
| 15 | 15 | |
| 16 | 24 | |
| 17 | 7 | |
| 18 | 10 | |
| 19 | 암환자의 영양, 통증 및 피로 관련 논문분석 | 1 |
| 20 | Prediction of preterm delivery by measurement of cervical length. | 1 |
About Hye Ok Kim
Hye Ok Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Transplantation, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Neurology (228 citations), Cancer Research (199 citations) and Radiology, Nuclear Medicine and Imaging (238 citations). Hye Ok Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seung Jun Oh, Dae Hyuk Moon, Jae Seung Kim, Gi Hyeon Seo, Kyung‐Sik Yoon, Jin‐Sook Ryu, Minyoung Oh, Chong Sik Lee, Yong Hwa Jo and Sun Ju Chung. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Radiology.
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.