Yao‐Ming Wu
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Liver physiology and pathology
- Transplantation top 5%
Papers in
- Hepatology 59
- Hepatocellular Carcinoma Treatment and Prognosis 33
- Liver Disease and Transplantation 15
- Liver physiology and pathology 10
- Surgery 50
- Organ Transplantation Techniques and Outcomes 30
- Co-authors
- Po‐Huang Lee (57 shared papers)Rey‐Heng Hu (51 shared papers)Ming‐Chih Ho (42 shared papers)Hong‐Shiee Lai (15 shared papers)Cheng‐Maw Ho (31 shared papers)Po‐Da Chen (15 shared papers)Chao‐Ying Wu (8 shared papers)Jin‐Tung Liang (6 shared papers)
- Journals
- Transplantation (5 papers)PLoS ONE (4 papers)Liver Transplantation (4 papers)Journal of Gastrointestinal Surgery (4 papers)Hepatology (4 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yao‐Ming Wu
150 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 125
- Hepatology 1.2k
- Transplantation 63
- Surgery 933
- Biophysics 87
- Oncology 360
Countries citing papers authored by Yao‐Ming Wu
This map shows the geographic impact of Yao‐Ming Wu'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 Yao‐Ming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao‐Ming Wu more than expected).
Fields of papers citing papers by Yao‐Ming Wu
This network shows the impact of papers produced by Yao‐Ming Wu. 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 Yao‐Ming Wu. The network helps show where Yao‐Ming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao‐Ming Wu, 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 190 | |
| 2 | 2016 | 123 | |
| 3 | 2016 | 103 | |
| 4 | 2011 | 96 | |
| 5 | 2007 | 92 | |
| 6 | 2016 | 91 | |
| 7 | 2012 | 88 | |
| 8 | 2011 | 82 | |
| 9 | 2014 | 73 | |
| 10 | 2013 | 70 | |
| 11 | 2020 | 64 | |
| 12 | 2020 | 64 | |
| 13 | 2013 | 60 | |
| 14 | 2016 | 60 | |
| 15 | 2009 | 52 | |
| 16 | 2018 | 52 | |
| 17 | 2014 | 52 | |
| 18 | 2017 | 48 | |
| 19 | 2009 | 48 | |
| 20 | 2005 | 44 |
About Yao‐Ming Wu
Yao‐Ming Wu is a scholar working on Hepatology, Surgery, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 156 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (33 papers), Organ Transplantation Techniques and Outcomes (30 papers), Liver Disease and Transplantation (15 papers), Liver physiology and pathology (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Gallbladder and Bile Duct Disorders (9 papers), Glycosylation and Glycoproteins Research (7 papers) and Organ Donation and Transplantation (7 papers). The work is most often cited by research in Hepatology (1.2k citations), Transplantation (63 citations), Surgery (933 citations), Biophysics (87 citations) and Oncology (360 citations). Yao‐Ming Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Po‐Huang Lee, Rey‐Heng Hu, Ming‐Chih Ho, Hong‐Shiee Lai, Cheng‐Maw Ho, Po‐Da Chen, Chao‐Ying Wu, Jin‐Tung Liang, Min‐Chuan Huang and King‐Jen Chang. Their work appears in journals such as Transplantation, PLoS ONE, Liver Transplantation, Journal of Gastrointestinal Surgery and Hepatology.
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.