Sora Baek
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Dae Young YoonEun Joo YunYoung Lan SeoKyoung Ja LimYoung Kwon ChoYou Jin KuJi Yoon MoonGeundoo Jang
- Topics
- Meta-analysis and systematic reviews (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)scientometrics and bibliometrics research (6 papers)
- Cited by
- Health InformaticsStatistics, Probability and UncertaintyRadiology, Nuclear Medicine and Imaging
- Partner nations
- South KoreaUnited StatesNigeria
In The Last Decade
Sora Baek
34 papers receiving 550 citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 221
- Surgery 147
- Pulmonary and Respiratory Medicine 101
- Endocrinology, Diabetes and Metabolism 79
- Statistics, Probability and Uncertainty 78
Countries citing papers authored by Sora Baek
This map shows the geographic impact of Sora Baek'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 Sora Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sora Baek more than expected).
Fields of papers citing papers by Sora Baek
This network shows the impact of papers produced by Sora Baek. 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 Sora Baek. The network helps show where Sora Baek may publish in the future.
Co-authorship network of co-authors of Sora Baek
This figure shows the co-authorship network connecting the top 25 collaborators of Sora Baek. A scholar is included among the top collaborators of Sora Baek 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 Sora Baek. Sora Baek 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 | 4 | |
| 4 | 13 | |
| 5 | 26 | |
| 6 | 2 | |
| 7 | 33 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 61 | |
| 12 | 24 | |
| 13 | 51 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 26 | |
| 17 | 12 | |
| 18 | 12 | |
| 19 | 27 | |
| 20 | 13 |
About Sora Baek
Sora Baek is a scholar working on Statistics, Probability and Uncertainty, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 559 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and scientometrics and bibliometrics research (6 papers). The work is most often cited by research in Health Informatics (28 citations), Statistics, Probability and Uncertainty (78 citations) and Radiology, Nuclear Medicine and Imaging (221 citations). Sora Baek has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Dae Young Yoon, Eun Joo Yun, Young Lan Seo, Kyoung Ja Lim, Young Kwon Cho, You Jin Ku, Ji Yoon Moon, Geundoo Jang, Kwonoh Park and Jin Ho Kim. Their work appears in journals such as Clinical Cancer Research, American Journal of Roentgenology and Journal of Nuclear Medicine.
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.