Sae‐Jin Park
Impact in
- Health Informatics top 5%
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
Papers in
- Hepatology 18
- Hepatocellular Carcinoma Treatment and Prognosis 16
- Liver Disease and Transplantation 5
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- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Tack‐Joong Kim (8 shared papers)Jeong Min Lee (19 shared papers)Ijin Joo (13 shared papers)Joon Koo Han (10 shared papers)Guda Dinneswara Reddy (2 shared papers)Myong Euy Lee (2 shared papers)Sun Kyung Jeon (5 shared papers)Eun Kyoung Hong (4 shared papers)
- Journals
- Korean Journal of Radiology (4 papers)European Radiology (4 papers)Cancer Imaging (3 papers)Abdominal Radiology (3 papers)Radiology (3 papers)
- Partner nations
- South KoreaEthiopiaNetherlands
In The Last Decade
Sae‐Jin Park
41 papers receiving 736 citations
Peers
Comparison fields: 5 of 107
- Health Informatics 36
- Hepatology 174
- Radiology, Nuclear Medicine and Imaging 240
- Immunology and Allergy 40
- Dermatology 45
Countries citing papers authored by Sae‐Jin Park
This map shows the geographic impact of Sae‐Jin Park'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 Sae‐Jin Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sae‐Jin Park more than expected).
Fields of papers citing papers by Sae‐Jin Park
This network shows the impact of papers produced by Sae‐Jin Park. 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 Sae‐Jin Park. The network helps show where Sae‐Jin Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Sae‐Jin Park, 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 | 2019 | 121 | |
| 2 | 2014 | 53 | |
| 3 | 2018 | 50 | |
| 4 | 2012 | 49 | |
| 5 | 2010 | 44 | |
| 6 | 2012 | 43 | |
| 7 | 2021 | 40 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 22 | |
| 12 | 2022 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2011 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2013 | 16 | |
| 18 | 2012 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2018 | 12 |
About Sae‐Jin Park
Sae‐Jin Park is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Epidemiology, having authored 44 papers that have together received 748 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Liver Disease Diagnosis and Treatment (7 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Renal cell carcinoma treatment (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Liver Disease and Transplantation (5 papers) and Advanced X-ray and CT Imaging (4 papers). The work is most often cited by research in Health Informatics (36 citations), Hepatology (174 citations), Radiology, Nuclear Medicine and Imaging (240 citations), Immunology and Allergy (40 citations) and Dermatology (45 citations). Sae‐Jin Park has collaborated with scholars based in South Korea, Ethiopia and Netherlands. Frequent co-authors include Tack‐Joong Kim, Jeong Min Lee, Ijin Joo, Joon Koo Han, Guda Dinneswara Reddy, Myong Euy Lee, Sun Kyung Jeon, Eun Kyoung Hong, Dong Ho Lee and Woo Hyeon Lim. Their work appears in journals such as Korean Journal of Radiology, European Radiology, Cancer Imaging, Abdominal Radiology 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.