Jung-Gil Park
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Hepatology top 5%
Papers in
- Hepatology 25
- Liver Disease and Transplantation 12
- Hepatocellular Carcinoma Treatment and Prognosis 7
- Hepatitis C virus research 5
- Epidemiology 28
- Liver Disease Diagnosis and Treatment 22
- Hepatitis B Virus Studies 5
- Co-authors
- Min Kyu Kang (33 shared papers)Soo Young Park (31 shared papers)Won Young Tak (30 shared papers)Yu Rim Lee (29 shared papers)Se Young Jang (25 shared papers)Young Oh Kweon (22 shared papers)Keun Hur (13 shared papers)Hye Won Lee (11 shared papers)
- Journals
- Clinical and Molecular Hepatology (5 papers)Medicine (4 papers)Genes (3 papers)Gut and Liver (3 papers)Nutrients (2 papers)
- Partner nations
- South KoreaUnited StatesIran
In The Last Decade
Jung-Gil Park
80 papers receiving 1.6k citations
Jung-Gil Park's Hit Papers
Peers
Comparison fields: 5 of 118
- Health Informatics 123
- Hepatology 208
- Cancer Research 308
- Radiology, Nuclear Medicine and Imaging 252
- Epidemiology 345
Countries citing papers authored by Jung-Gil Park
This map shows the geographic impact of Jung-Gil 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 Jung-Gil Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung-Gil Park more than expected).
Fields of papers citing papers by Jung-Gil Park
This network shows the impact of papers produced by Jung-Gil 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 Jung-Gil Park. The network helps show where Jung-Gil Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Jung-Gil 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated learning for predicting clinical outcomes in patients with COVID-19 Hit paper breakdown → | 2021 | 543 |
| 2 | 2018 | 226 | |
| 3 | 2021 | 63 | |
| 4 | 2017 | 49 | |
| 5 | 2021 | 45 | |
| 6 | 2020 | 41 | |
| 7 | 2020 | 38 | |
| 8 | 2018 | 33 | |
| 9 | 2017 | 29 | |
| 10 | 2021 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2020 | 28 | |
| 13 | 2015 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2020 | 25 | |
| 16 | 2020 | 24 | |
| 17 | 2016 | 23 | |
| 18 | 2020 | 22 | |
| 19 | 2014 | 22 | |
| 20 | 2020 | 19 |
About Jung-Gil Park
Jung-Gil Park is a scholar working on Hepatology, Epidemiology, Cancer Research, Pathology and Forensic Medicine and Infectious Diseases, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (22 papers), Liver Disease and Transplantation (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Circular RNAs in diseases (6 papers), COVID-19 diagnosis using AI (5 papers), Cancer-related molecular mechanisms research (5 papers), Hepatitis B Virus Studies (5 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Health Informatics (123 citations), Hepatology (208 citations), Cancer Research (308 citations), Radiology, Nuclear Medicine and Imaging (252 citations) and Epidemiology (345 citations). Jung-Gil Park has collaborated with scholars based in South Korea, United States and Iran. Frequent co-authors include Min Kyu Kang, Soo Young Park, Won Young Tak, Yu Rim Lee, Se Young Jang, Young Oh Kweon, Keun Hur, Hye Won Lee, Young Seok Han and Gyeonghwa Kim. Their work appears in journals such as Clinical and Molecular Hepatology, Medicine, Genes, Gut and Liver and Nutrients.
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.