Pei–Ming Yang
- Hepatology top 0.1%
- Epidemiology top 0.5%
- Molecular Biology top 10%
- Surgery top 5%
- Oncology top 5%
- Co-authors
- Ding‐Shinn ChenJin‐Chuan SheuGuan‐Tarn HuangPei‐Jer ChenJuei‐Low SungMei–Hsuan LeeMing–Yang LaiTeh‐Hong Wang
- Topics
- Liver Disease Diagnosis and Treatment (57 papers)Hepatitis C virus research (47 papers)Hepatitis B Virus Studies (42 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Investigation
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Pei–Ming Yang
177 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Hepatology 3.6k
- Epidemiology 3.4k
- Molecular Biology 746
- Surgery 746
- Oncology 569
Countries citing papers authored by Pei–Ming Yang
This map shows the geographic impact of Pei–Ming 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 Pei–Ming Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei–Ming Yang more than expected).
Fields of papers citing papers by Pei–Ming Yang
This network shows the impact of papers produced by Pei–Ming 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 Pei–Ming Yang. The network helps show where Pei–Ming Yang may publish in the future.
Co-authorship network of co-authors of Pei–Ming Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Pei–Ming Yang. A scholar is included among the top collaborators of Pei–Ming Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pei–Ming Yang. Pei–Ming Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 23 | |
| 6 | 127 | |
| 7 | 226 | |
| 8 | 60 | |
| 9 | 20 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | A different experience of hepatic adenoma in Taiwan with emphasis on clinical manifestations and ultrasonographic features. | 1 |
| 14 | Serum 2',5'-oligoadenylate synthetase concentrations in acute and chronic hepatitis C. | 2 |
| 15 | 2 | |
| 16 | 41 | |
| 17 | 91 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Pei–Ming Yang
Pei–Ming Yang is a scholar working on Hepatology, Epidemiology and Immunology, having authored 187 papers that have together received 6.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (57 papers), Hepatitis C virus research (47 papers) and Hepatitis B Virus Studies (42 papers). The work is most often cited by research in Hepatology (3.6k citations), Epidemiology (3.4k citations) and Cancer Research (479 citations). Pei–Ming Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ding‐Shinn Chen, Jin‐Chuan Sheu, Guan‐Tarn Huang, Pei‐Jer Chen, Juei‐Low Sung, Mei–Hsuan Lee, Ming–Yang Lai, Teh‐Hong Wang, Jia‐Horng Kao and Hey‐Chi Hsu. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.