Jin‐Young Choi
- Hepatology top 0.1%
- Hepatocellular Carcinoma Treatment and Prognosis 107
- Liver Disease and Transplantation 37
-
- MRI in cancer diagnosis 48
- Radiomics and Machine Learning in Medical Imaging 28
- Epidemiology top 0.5%
- Liver Disease Diagnosis and Treatment 77
- Oncology top 1%
- Pancreatic and Hepatic Oncology Research 34
- Surgery top 0.5%
- Cholangiocarcinoma and Gallbladder Cancer Studies 33
-
- Gallbladder and Bile Duct Disorders 28
- Co-authors
- Myeong‐Jin KimJeong Min LeeYong Eun ChungClaude B. SirlinMi‐Suk ParkKi Whang KimJoon Seok LimYoung Nyun Park
- Journals
- SHILAP Revista de lepidopterología (5 papers)Gastroenterology (1 paper)PLoS ONE (7 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Jin‐Young Choi
358 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Hepatology 3.7k
- Radiology, Nuclear Medicine and Imaging 3.0k
- Epidemiology 3.0k
- Oncology 2.0k
- Surgery 3.2k
Countries citing papers authored by Jin‐Young Choi
This map shows the geographic impact of Jin‐Young Choi'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 Jin‐Young Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Young Choi more than expected).
Fields of papers citing papers by Jin‐Young Choi
This network shows the impact of papers produced by Jin‐Young Choi. 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 Jin‐Young Choi. The network helps show where Jin‐Young Choi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin‐Young Choi, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 0 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 22 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 155 | |
| 17 | 2019 | 26 | |
| 18 | Improved protocol for schwann cell isolation and proliferation from rat dorsal root ganglia in vitro | 2015 | 0 |
| 19 | 2014 | 2 | |
| 20 | Generation of Genome-wide Systematic Deletion Mutants of Fission Yeast Using PCR-based Targeted Mutagenesis | 2001 | 0 |
About Jin‐Young Choi
Jin‐Young Choi is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 381 papers that have together received 9.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (107 papers), Liver Disease Diagnosis and Treatment (77 papers), MRI in cancer diagnosis (48 papers), Liver Disease and Transplantation (37 papers), Pancreatic and Hepatic Oncology Research (34 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (33 papers), Radiomics and Machine Learning in Medical Imaging (28 papers) and Gallbladder and Bile Duct Disorders (28 papers). The work is most often cited by research in Hepatology (3.7k citations), Radiology, Nuclear Medicine and Imaging (3.0k citations) and Epidemiology (3.0k citations). Jin‐Young Choi has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Myeong‐Jin Kim, Jeong Min Lee, Yong Eun Chung, Claude B. Sirlin, Mi‐Suk Park, Ki Whang Kim, Joon Seok Lim, Young Nyun Park, Joon Koo Han and Byung Ihn Choi. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology 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.