Peter Yang

25 papers receiving 674 citations

Peers

Peter Yang
Comparison fields: 5 of 126
  • Virology 278
  • Immunology 163
  • Cancer Research 90
  • Sensory Systems 27
  • Health Informatics 7
Replace Pejman Mohammadi with:
Pejman Mohammadi United States
Francesca Incardona Italy
Bhavesh Borate United States
Rafael Rosales United States
Xosé M. Fernández United Kingdom
Caleb J. Kennedy United States
Qintong Li China
Jonathan Chan United States
Ziqing Liu United States
Sonu Kumar United States
Peter Yang relative to Pejman Mohammadi United States Pejman Mohammadi's profile →
Citations per field
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Pejman Mohammadi · 1×
Citations per year

Countries citing papers authored by Peter Yang

Since Specialization
Citations

This map shows the geographic impact of Peter 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 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 Yang more than expected).

Fields of papers citing papers by Peter Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter 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 Yang. The network helps show where Peter Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Yang Line = papers co-authored together Peter Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002122
2 2004107
3 200778
4 201870
5 201458
6 200553
7 201343
8 201934
9 201534
10 200417
11 201815
12 201210
13 20207
14 20196
15 20136
16
On the Bayesian Derivation of a Treatment-based Cancer Ontology.
20144
17 20174
18 20184
19 20184
20 20202

About Peter Yang

Peter Yang is a scholar working on Virology, Leadership and Management, Cancer Research, Safety Research and Communication, having authored 26 papers that have together received 686 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), Cancer Genomics and Diagnostics (4 papers), Career Development and Diversity (3 papers), Lung Cancer Treatments and Mutations (3 papers), Biomedical Text Mining and Ontologies (3 papers), HIV/AIDS drug development and treatment (3 papers), Job Satisfaction and Organizational Behavior (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Virology (278 citations), Immunology (163 citations), Cancer Research (90 citations), Sensory Systems (27 citations) and Health Informatics (7 citations). Peter Yang has collaborated with scholars based in United States, Taiwan and Greece. Frequent co-authors include Joseph Sodroski, Christopher M. Owens, Heinrich G. Göttlinger, Jeremy L. Warner, Michel Perron, Matthew Stremlau, Tian Zhang, Byeongwoon Song, Feng Yang and O. Wolf Lindwasser. Their work appears in journals such as JCO Clinical Cancer Informatics, Journal of Clinical Oncology, Journal of Virology, IEEE Access and Journal of Employment Counseling.

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.

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