Jae Do Yang
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Organ Transplantation Techniques and Outcomes
Papers in
- Surgery 36
- Organ Transplantation Techniques and Outcomes 11
- Cholangiocarcinoma and Gallbladder Cancer Studies 7
- Pancreatitis Pathology and Treatment 5
- Hepatology 18
- Liver Disease and Transplantation 10
- Hepatocellular Carcinoma Treatment and Prognosis 5
- Co-authors
- Hee Chul Yu (37 shared papers)Hong Pil Hwang (19 shared papers)Xiaopeng Yang (10 shared papers)Heecheon You (8 shared papers)Baik Hwan Cho (15 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)Scientific Reports (2 papers)Cancers (2 papers)HPB (2 papers)Water (2 papers)
- Partner nations
- South KoreaJapanSpain
In The Last Decade
Jae Do Yang
52 papers receiving 438 citations
Peers
Comparison fields: 5 of 87
- Hepatology 94
- Surgery 177
- Computer Vision and Pattern Recognition 69
- Oncology 85
- Epidemiology 97
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 59 | |
| 2 | 2017 | 50 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 21 | |
| 5 | 2016 | 20 | |
| 6 | 2014 | 17 | |
| 7 | 2022 | 17 | |
| 8 | 2018 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2012 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2015 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2011 | 8 | |
| 20 | 2018 | 8 |
About Jae Do Yang
Jae Do Yang is a scholar working on Surgery, Hepatology, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 58 papers that have together received 445 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (11 papers), Liver Disease and Transplantation (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Pancreatic and Hepatic Oncology Research (9 papers), Gallbladder and Bile Duct Disorders (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Pancreatitis Pathology and Treatment (5 papers). The work is most often cited by research in Hepatology (94 citations), Surgery (177 citations), Computer Vision and Pattern Recognition (69 citations), Oncology (85 citations) and Epidemiology (97 citations). Jae Do Yang has collaborated with scholars based in South Korea, Japan and Spain. Frequent co-authors include Hee Chul Yu, Hong Pil Hwang, Xiaopeng Yang, Heecheon You, Baik Hwan Cho, Sung Woo Ahn, Bong‐Wan Kim, Younggeun Choi, Ji Soo Song and Byung‐Hyun Park. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Scientific Reports, Cancers, 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.