Mi Hye Yu
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis 20
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- MRI in cancer diagnosis 24
- Radiomics and Machine Learning in Medical Imaging 11
- Medical Imaging Techniques and Applications 6
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 20
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 12
- Gastroenterology top 10%
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- Cholangiocarcinoma and Gallbladder Cancer Studies 7
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- Advanced X-ray and CT Imaging 7
- Co-authors
- Joon Koo HanJeong Min LeeJeong Hee YoonByung Ihn ChoiJung Hoon KimByung‐Ihn ChoiHee Sun ParkSung Il Jung
- Journals
- Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)
- Partner nations
- South KoreaEthiopiaGermany
In The Last Decade
Mi Hye Yu
67 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 85
- Hepatology 631
- Radiology, Nuclear Medicine and Imaging 931
- Epidemiology 645
- Oncology 402
- Gastroenterology 60
Countries citing papers authored by Mi Hye Yu
This map shows the geographic impact of Mi Hye Yu'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 Mi Hye Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Hye Yu more than expected).
Fields of papers citing papers by Mi Hye Yu
This network shows the impact of papers produced by Mi Hye Yu. 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 Mi Hye Yu. The network helps show where Mi Hye Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mi Hye Yu, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 61 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 5 | |
| 14 | 2017 | 45 | |
| 15 | 2016 | 5 | |
| 16 | 2016 | 6 | |
| 17 | 2015 | 29 | |
| 18 | 2013 | 60 | |
| 19 | 2013 | 87 | |
| 20 | 2013 | 5 |
About Mi Hye Yu
Mi Hye Yu is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (24 papers), Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Liver Disease Diagnosis and Treatment (20 papers), Pancreatic and Hepatic Oncology Research (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Hepatology (631 citations), Radiology, Nuclear Medicine and Imaging (931 citations) and Epidemiology (645 citations). Mi Hye Yu has collaborated with scholars based in South Korea, Ethiopia and Germany. Frequent co-authors include Joon Koo Han, Jeong Min Lee, Jeong Hee Yoon, Byung Ihn Choi, Jung Hoon Kim, Byung‐Ihn Choi, Hee Sun Park, Sung Il Jung, Berthold Kiefer and Young Jun Kim. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.