Yu Sub Sung
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Geriatrics and Gerontology top 2%
- Frailty in Older Adults
Papers in
- Hepatology 14
- Liver Disease and Transplantation 10
- Hepatocellular Carcinoma Treatment and Prognosis 8
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- Radiomics and Machine Learning in Medical Imaging 22
- MRI in cancer diagnosis 17
- Advanced MRI Techniques and Applications 9
- Co-authors
- Kyung Won KimSeung Soo LeeYoungbin ShinJimi HuhKoeun LeeIn‐Seob LeeKwon‐Ha YoonHyo Jung Park
- Journals
- Korean Journal of Radiology (12 papers)Journal of Magnetic Resonance Imaging (5 papers)European Radiology (4 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)
- Partner nations
- South KoreaUnited StatesBelarus
In The Last Decade
Yu Sub Sung
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 107
- Hepatology 353
- Geriatrics and Gerontology 141
- Radiology, Nuclear Medicine and Imaging 668
- Health Informatics 30
- Physiology 460
Countries citing papers authored by Yu Sub Sung
This map shows the geographic impact of Yu Sub Sung'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 Yu Sub Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Sub Sung more than expected).
Fields of papers citing papers by Yu Sub Sung
This network shows the impact of papers produced by Yu Sub Sung. 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 Yu Sub Sung. The network helps show where Yu Sub Sung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu Sub Sung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 122 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 48 | |
| 12 | 2020 | 34 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 11 | |
| 16 | 2019 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2019 | 7 | |
| 19 | 2017 | 13 | |
| 20 | 2017 | 28 |
About Yu Sub Sung
Yu Sub Sung is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Geriatrics and Gerontology and Physiology, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), MRI in cancer diagnosis (17 papers), Liver Disease Diagnosis and Treatment (14 papers), Liver Disease and Transplantation (10 papers), Advanced MRI Techniques and Applications (9 papers), Nutrition and Health in Aging (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and Body Composition Measurement Techniques (7 papers). The work is most often cited by research in Hepatology (353 citations), Geriatrics and Gerontology (141 citations), Radiology, Nuclear Medicine and Imaging (668 citations), Health Informatics (30 citations) and Physiology (460 citations). Yu Sub Sung has collaborated with scholars based in South Korea, United States and Belarus. Frequent co-authors include Kyung Won Kim, Seung Soo Lee, Youngbin Shin, Jimi Huh, Koeun Lee, In‐Seob Lee, Kwon‐Ha Yoon, Hyo Jung Park, Yousun Ko and So Yeon Kim. Their work appears in journals such as Korean Journal of Radiology, Journal of Magnetic Resonance Imaging, European Radiology, PLoS ONE and Scientific Reports.
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.