Jae Do Yang
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
-
- Organ Transplantation Techniques and Outcomes
Papers in
- Surgery 27
- Organ Transplantation Techniques and Outcomes 9
- Cholangiocarcinoma and Gallbladder Cancer Studies 6
- Gastrointestinal disorders and treatments 3
- Hepatology 10
- Liver Disease and Transplantation 6
- Co-authors
- Hee Chul Yu (39 shared papers)Hong Pil Hwang (20 shared papers)Xiaopeng Yang (11 shared papers)Baik Hwan Cho (17 shared papers)Heecheon You (9 shared papers)Sung Woo Ahn (9 shared papers)Bong‐Wan Kim (4 shared papers)Younggeun Choi (4 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (3 papers)Medicine (2 papers)Scientific Reports (2 papers)HPB (2 papers)Water (2 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Jae Do Yang
53 papers receiving 470 citations
Peers
Comparison fields: 5 of 80
- Hepatology 65
- Surgery 145
- Computer Vision and Pattern Recognition 70
- Neurology 22
- Epidemiology 78
Countries citing papers authored by Jae Do Yang
This map shows the geographic impact of Jae Do Yang'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 Jae Do Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Do Yang more than expected).
Fields of papers citing papers by Jae Do Yang
This network shows the impact of papers produced by Jae Do Yang. 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 Jae Do Yang. The network helps show where Jae Do Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae Do Yang, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 64 | |
| 2 | 2017 | 58 | |
| 3 | 2019 | 31 | |
| 4 | 2020 | 21 | |
| 5 | 2016 | 20 | |
| 6 | 2012 | 19 | |
| 7 | 2024 | 18 | |
| 8 | 2018 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2014 | 17 | |
| 11 | 2013 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2012 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2011 | 8 |
About Jae Do Yang
Jae Do Yang is a scholar working on Surgery, Hepatology, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 479 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (9 papers), Pancreatic and Hepatic Oncology Research (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Liver Disease and Transplantation (6 papers), Neuroendocrine Tumor Research Advances (4 papers), Medical Image Segmentation Techniques (3 papers), Hepatitis B Virus Studies (3 papers) and Gastrointestinal disorders and treatments (3 papers). The work is most often cited by research in Hepatology (65 citations), Surgery (145 citations), Computer Vision and Pattern Recognition (70 citations), Neurology (22 citations) and Epidemiology (78 citations). Jae Do Yang has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hee Chul Yu, Hong Pil Hwang, Xiaopeng Yang, Baik Hwan Cho, Heecheon You, Sung Woo Ahn, Bong‐Wan Kim, Younggeun Choi, Ji Soo Song and Wonsup Lee. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Medicine, Scientific Reports, HPB and Water.
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.