Peter C. Yang
Impact in
- Virology top 2%
- HIV Research and Treatment
Papers in
- Virology 4
- HIV Research and Treatment 4
-
- Meta-analysis and systematic reviews 3
- Co-authors
- Joseph Sodroski (3 shared papers)Christopher M. Owens (2 shared papers)Heinrich G. Göttlinger (1 shared paper)Feng Yang (2 shared papers)Jeremy Lyle Warner (9 shared papers)Tian Zhang (1 shared paper)Michel J. Perron (1 shared paper)Byeongwoon Song (1 shared paper)
- Journals
- JCO Clinical Cancer Informatics (4 papers)Journal of Virology (3 papers)IEEE Access (2 papers)Nature Communications (1 paper)Mayo Clinic Proceedings (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Peter C. Yang
26 papers receiving 771 citations
Peers
Comparison fields: 5 of 101
- Virology 281
- Health Informatics 14
- Cancer Research 71
- Health Information Management 46
- Sensory Systems 26
Countries citing papers authored by Peter C. Yang
This map shows the geographic impact of Peter C. 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 Peter C. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter C. Yang more than expected).
Fields of papers citing papers by Peter C. Yang
This network shows the impact of papers produced by Peter C. 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 Peter C. Yang. The network helps show where Peter C. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter C. 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 124 | |
| 2 | 2004 | 108 | |
| 3 | 2007 | 80 | |
| 4 | 2018 | 77 | |
| 5 | 2014 | 62 | |
| 6 | 2013 | 58 | |
| 7 | 2005 | 57 | |
| 8 | 2013 | 47 | |
| 9 | 2019 | 42 | |
| 10 | 2015 | 34 | |
| 11 | 2004 | 18 | |
| 12 | 2018 | 14 | |
| 13 | 2012 | 12 | |
| 14 | 2013 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2020 | 7 | |
| 17 | On the Bayesian Derivation of a Treatment-based Cancer Ontology. | 2014 | 4 |
| 18 | 2017 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2018 | 4 |
About Peter C. Yang
Peter C. Yang is a scholar working on Virology, Statistics, Probability and Uncertainty, Molecular Biology, Social Psychology and Safety Research, having authored 27 papers that have together received 783 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), HIV Research and Treatment (4 papers), Meta-analysis and systematic reviews (3 papers), Career Development and Diversity (2 papers), Higher Education and Employability (2 papers), Job Satisfaction and Organizational Behavior (2 papers), Stress and Burnout Research (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Virology (281 citations), Health Informatics (14 citations), Cancer Research (71 citations), Health Information Management (46 citations) and Sensory Systems (26 citations). Peter C. Yang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Joseph Sodroski, Christopher M. Owens, Heinrich G. Göttlinger, Feng Yang, Jeremy Lyle Warner, Tian Zhang, Michel J. Perron, Byeongwoon Song, Matthew H. Stremlau and James H. Hurley. Their work appears in journals such as JCO Clinical Cancer Informatics, Journal of Virology, IEEE Access, Nature Communications and Mayo Clinic Proceedings.
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.