Ki Choon Sim
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Renal cell carcinoma treatment 7
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- Radiomics and Machine Learning in Medical Imaging 9
- MRI in cancer diagnosis 6
- Co-authors
- Deuk Jae Sung (38 shared papers)Na Han (36 shared papers)Min Ju Kim (34 shared papers)Beom Jin Park (31 shared papers)Sung Bum Cho (13 shared papers)Kyung‐Sook Yang (7 shared papers)Yongwon Cho (9 shared papers)Yang Shin Park (4 shared papers)
- Journals
- Abdominal Radiology (12 papers)Journal of Computer Assisted Tomography (3 papers)Academic Radiology (2 papers)Acta Radiologica (2 papers)Scientific Reports (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Ki Choon Sim
42 papers receiving 285 citations
Peers
Comparison fields: 5 of 49
- Hepatology 61
- Radiology, Nuclear Medicine and Imaging 124
- Pulmonary and Respiratory Medicine 115
- Health Informatics 3
- Surgery 92
Countries citing papers authored by Ki Choon Sim
This map shows the geographic impact of Ki Choon Sim'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 Ki Choon Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki Choon Sim more than expected).
Fields of papers citing papers by Ki Choon Sim
This network shows the impact of papers produced by Ki Choon Sim. 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 Ki Choon Sim. The network helps show where Ki Choon Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ki Choon Sim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 32 | |
| 2 | 2016 | 19 | |
| 3 | 2022 | 18 | |
| 4 | 2020 | 16 | |
| 5 | 2017 | 14 | |
| 6 | 2020 | 13 | |
| 7 | 2018 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2022 | 6 | |
| 19 | 2015 | 5 | |
| 20 | 2022 | 5 |
About Ki Choon Sim
Ki Choon Sim is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology and Oncology, having authored 44 papers that have together received 290 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Renal cell carcinoma treatment (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), MRI in cancer diagnosis (6 papers), Urinary and Genital Oncology Studies (4 papers), Pediatric Urology and Nephrology Studies (4 papers) and Bladder and Urothelial Cancer Treatments (4 papers). The work is most often cited by research in Hepatology (61 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Pulmonary and Respiratory Medicine (115 citations), Health Informatics (3 citations) and Surgery (92 citations). Ki Choon Sim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Deuk Jae Sung, Na Han, Min Ju Kim, Beom Jin Park, Sung Bum Cho, Kyung‐Sook Yang, Yongwon Cho, Yang Shin Park, Suk Keu Yeom and Hyonggin An. Their work appears in journals such as Abdominal Radiology, Journal of Computer Assisted Tomography, Academic Radiology, Acta Radiologica 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.