Peter Yang

962 citations
26 papers · 712 · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • interferon and immune responses

Papers in

Peter Yang

26 papers receiving 699 citations

Peers

Peter Yang
Comparison fields: 5 of 118
  • Virology 275
  • Immunology 151
  • Sensory Systems 28
  • Cancer Research 73
  • Infectious Diseases 83
Replace Bhavesh Borate with:
Bhavesh Borate United States
Caleb J. Kennedy United States
Pejman Mohammadi United States
Sonu Kumar United States
Francesca Incardona Italy
Christian Schönbach Japan
J. Lynn Fink Australia
Antonia van den Elzen United States
Jonathan Chan Thailand
Christopher Szeto Australia
Peter Yang relative to Bhavesh Borate United States Bhavesh Borate's profile →
Citations per field
00.5×2×3×4×4.7×
Bhavesh Borate · 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 2004108
3 200779
4 201875
5 201461
6 200559
7 201345
8 201938
9 201534
10 200417
11 201815
12 201211
13 20197
14 20207
15 20136
16 20174
17
On the Bayesian Derivation of a Treatment-based Cancer Ontology.
20144
18 20184
19 20184
20 20252

About Peter Yang

Peter Yang is a scholar working on Molecular Biology, Virology, Cancer Research, Infectious Diseases and Safety Research, having authored 26 papers that have together received 712 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (3 papers), Career Development and Diversity (3 papers), Cancer Genomics and Diagnostics (2 papers), Wikis in Education and Collaboration (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Virology (275 citations), Immunology (151 citations), Sensory Systems (28 citations), Cancer Research (73 citations) and Infectious Diseases (83 citations). Peter Yang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Joseph Sodroski, Christopher M. Owens, Heinrich G. Göttlinger, Jeremy L. Warner, Feng Yang, Tian Zhang, Michel Perron, Byeongwoon Song, Matthew Stremlau and William J. Smith. Their work appears in journals such as JCO Clinical Cancer Informatics, Journal of Virology, Journal of Clinical Oncology, IEEE Access and Frontiers in Psychology.

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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