Peter Yang

956 total citations
26 papers, 686 citations indexed

About

Peter Yang is a scholar working on Molecular Biology, Cancer Research and Virology. According to data from OpenAlex, Peter Yang has authored 26 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Virology. Recurrent topics in Peter Yang's work include HIV Research and Treatment (4 papers), Cancer Genomics and Diagnostics (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Peter Yang is often cited by papers focused on HIV Research and Treatment (4 papers), Cancer Genomics and Diagnostics (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Peter Yang collaborates with scholars based in United States, Taiwan and Greece. Peter Yang's co-authors include Joseph Sodroski, Christopher M. Owens, Heinrich G. Göttlinger, Jeremy L. Warner, Tian Zhang, Michel Perron, Matthew Stremlau, Byeongwoon Song, Feng Yang and O. Wolf Lindwasser and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Peter Yang

25 papers receiving 674 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Yang United States 11 278 242 163 113 90 26 686
Jonathan Chan United States 11 120 0.4× 403 1.7× 106 0.7× 42 0.4× 51 0.6× 22 680
Rafael Rosales United States 10 282 1.0× 220 0.9× 101 0.6× 69 0.6× 177 2.0× 30 630
Bhavesh Borate United States 13 111 0.4× 283 1.2× 112 0.7× 137 1.2× 154 1.7× 22 713
J. Lynn Fink Australia 18 73 0.3× 750 3.1× 114 0.7× 43 0.4× 33 0.4× 45 1.1k
Richard Lu United States 19 690 2.5× 554 2.3× 183 1.1× 151 1.3× 515 5.7× 32 1.2k
Cliburn Chan United States 15 49 0.2× 303 1.3× 221 1.4× 181 1.6× 81 0.9× 56 855
Francesca Incardona Italy 15 280 1.0× 367 1.5× 455 2.8× 117 1.0× 276 3.1× 49 1.2k
Anna Maria Masci United States 14 102 0.4× 324 1.3× 267 1.6× 75 0.7× 74 0.8× 43 695
Elizabeth J. Rossin United States 11 77 0.3× 672 2.8× 243 1.5× 55 0.5× 93 1.0× 30 1.3k
Antonia van den Elzen United States 9 52 0.2× 651 2.7× 161 1.0× 33 0.3× 27 0.3× 12 977

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-authorship network of co-authors of Peter Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Yang. A scholar is included among the top collaborators of Peter 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 Peter Yang. Peter Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rubinstein, Samuel M., Rahul Banerjee, Will Ma, et al.. (2025). Summarizing clinical evidence utilizing large language models for cancer treatments: a blinded comparative analysis. Frontiers in Digital Health. 7. 1569554–1569554. 1 indexed citations
2.
3.
Rubinstein, Samuel M., Tarsheen Sethi, Neeta K. Venepalli, et al.. (2021). Chemotherapy Knowledge Base Management in the Era of Precision Oncology. JCO Clinical Cancer Informatics. 5(5). 30–35. 2 indexed citations
4.
Gyawali, Bishal, et al.. (2020). Mismatch between mortality burden and number of FDA registration trials in highly lethal cancers.. Journal of Clinical Oncology. 38(15_suppl). 2072–2072. 2 indexed citations
5.
Khaki, Ali Raza, Aakash Desai, Martin W. Schoen, et al.. (2020). Timing of US Food and Drug Administration (FDA) cancer drug approvals relative to publication of clinical trial results.. Journal of Clinical Oncology. 38(15_suppl). 2071–2071. 2 indexed citations
6.
Rubinstein, Samuel M., et al.. (2020). Standardizing Chemotherapy Regimen Nomenclature: A Proposal and Evaluation of the HemOnc and National Cancer Institute Thesaurus Regimen Content. JCO Clinical Cancer Informatics. 4(4). 60–70. 7 indexed citations
7.
Warner, Jeremy L., Dmitry Dymshyts, Christian Reich, et al.. (2019). HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model. Journal of Biomedical Informatics. 96. 103239–103239. 34 indexed citations
8.
Yang, Peter, et al.. (2018). Computerized Approach to Creating a Systematic Ontology of Hematology/Oncology Regimens. JCO Clinical Cancer Informatics. 2(2). 1–11. 15 indexed citations
9.
Yang, Feng, et al.. (2018). Understanding Mixup Training Methods. IEEE Access. 6. 58774–58783. 70 indexed citations
10.
Yang, Peter. (2018). A life journal into the future: Development of a storytelling approach for establishing career identity and agency in career counselling. Innovations in Education and Teaching International. 56(6). 700–710. 4 indexed citations
11.
Yang, Feng, et al.. (2018). WPNets and PWNets: From the Perspective of Channel Fusion. IEEE Access. 6. 34226–34236. 4 indexed citations
12.
Warner, Jeremy L., Peter Yang, & Gil Alterovitz. (2017). Overcoming the Straw Man Effect in Oncology: Visualization and Ranking of Chemotherapy Regimens Using an Information Theoretic Approach. JCO Clinical Cancer Informatics. 1(1). 1–9. 1 indexed citations
13.
Yang, Peter. (2017). Development of a Career Stress Scale for Hospital Nurses: Implications for Workplace Counseling. Journal of Employment Counseling. 54(4). 156–167. 4 indexed citations
14.
Γεωργακίλας, Γεώργιος, Ioannis S. Vlachos, Maria D. Paraskevopoulou, et al.. (2014). microTSS: accurate microRNA transcription start site identification reveals a significant number of divergent pri-miRNAs. Nature Communications. 5(1). 5700–5700. 58 indexed citations
15.
Gao, Michael, Jeremy L. Warner, Peter Yang, & Gil Alterovitz. (2014). On the Bayesian Derivation of a Treatment-based Cancer Ontology.. PubMed. 2014. 209–17. 4 indexed citations
16.
Finn, Richard S., Alexey Aleshin, Judy Dering, et al.. (2013). Molecular subtype and response to dasatinib, an Src/Abl small molecule kinase inhibitor, in hepatocellular carcinoma cell lines in vitro. Hepatology. 57(5). 1838–1846. 43 indexed citations
17.
Yang, Peter, et al.. (2013). Usability evaluation of HemOnc.org, a collaborative online hematology/oncology reference.. Journal of Clinical Oncology. 31(31_suppl). 244–244. 2 indexed citations
18.
Yang, Peter, et al.. (2012). Application of a Novel Strategy of Engineering Conditional Alleles to a Single Exon Gene, Sox2. PLoS ONE. 7(9). e45768–e45768. 10 indexed citations
19.
Cayabyab, Mark J., Georgios Pollakis, Almaz Abebe, et al.. (2004). Rapid CD4+ T-Lymphocyte Depletion in Rhesus Monkeys Infected with a Simian–Human Immunodeficiency Virus Expressing the Envelope Glycoproteins of a Primary Dual-Tropic Ethiopian Clade C HIV Type 1 Isolate. AIDS Research and Human Retroviruses. 20(1). 27–40. 17 indexed citations
20.
Owens, Christopher M., Byeongwoon Song, Michel Perron, et al.. (2004). Binding and Susceptibility to Postentry Restriction Factors in Monkey Cells Are Specified by Distinct Regions of the Human Immunodeficiency Virus Type 1 Capsid. Journal of Virology. 78(10). 5423–5437. 107 indexed citations

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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