Edward Yang

1.9k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Edward Yang is a scholar working on Immunology, Epidemiology and Animal Science and Zoology. According to data from OpenAlex, Edward Yang has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Epidemiology and 2 papers in Animal Science and Zoology. Recurrent topics in Edward Yang's work include Herpesvirus Infections and Treatments (8 papers), Immune Cell Function and Interaction (6 papers) and Cytomegalovirus and herpesvirus research (5 papers). Edward Yang is often cited by papers focused on Herpesvirus Infections and Treatments (8 papers), Immune Cell Function and Interaction (6 papers) and Cytomegalovirus and herpesvirus research (5 papers). Edward Yang collaborates with scholars based in United States, South Korea and Austria. Edward Yang's co-authors include Ananda W. Goldrath, Andrew L. Doedens, Martin Stradner, Anthony T. Phan, Jessica Fujimoto, Randall S. Johnson, J. Adam Best, Jamie Knell, Ann M. Arvin and Stefan L. Oliver and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Immunology.

In The Last Decade

Edward Yang

14 papers receiving 1.3k citations

Hit Papers

Hypoxia-inducible factors enhance the effector responses ... 2013 2026 2017 2021 2013 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hypoxia-inducible factors enhance the effector responses of CD8+ T cells to persistent antigen
    2013 503 citations Andrew L. Doedens, Anthony T. Phan et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward Yang United States 13 967 409 269 253 202 14 1.3k
Woong‐Kyung Suh Canada 23 1.2k 1.3× 505 1.2× 573 2.1× 169 0.7× 89 0.4× 41 1.8k
Marion Massé France 5 607 0.6× 212 0.5× 377 1.4× 136 0.5× 236 1.2× 7 1.0k
Emanuela M. Iancu Switzerland 12 660 0.7× 339 0.8× 227 0.8× 119 0.5× 175 0.9× 13 878
Luis Soares United States 15 871 0.9× 344 0.8× 533 2.0× 115 0.5× 65 0.3× 25 1.3k
Oliver Bannard United Kingdom 16 1.0k 1.1× 194 0.5× 245 0.9× 116 0.5× 106 0.5× 20 1.3k
Karin Sedelies Australia 16 458 0.5× 266 0.7× 791 2.9× 212 0.8× 87 0.4× 18 1.2k
Anette Sundstedt Sweden 22 1.0k 1.1× 336 0.8× 242 0.9× 64 0.3× 136 0.7× 36 1.3k
Jörg Kirberg Germany 17 1.7k 1.8× 416 1.0× 425 1.6× 86 0.3× 63 0.3× 27 2.1k
Yatin M. Vyas United States 19 848 0.9× 317 0.8× 382 1.4× 97 0.4× 82 0.4× 26 1.5k
Damien Zanker Australia 19 612 0.6× 296 0.7× 501 1.9× 190 0.8× 78 0.4× 30 1.0k

Countries citing papers authored by Edward Yang

Since Specialization
Citations

This map shows the geographic impact of Edward 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 Edward Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Yang more than expected).

Fields of papers citing papers by Edward Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Yang

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

All Works

14 of 14 papers shown
1.
Oliver, Stefan L., Dong-Hua Chen, Soung‐Hun Roh, et al.. (2021). The N-terminus of varicella-zoster virus glycoprotein B has a functional role in fusion. PLoS Pathogens. 17(1). e1008961–e1008961. 14 indexed citations
2.
Oliver, Stefan L., Dong-Hua Chen, Soung‐Hun Roh, et al.. (2020). A glycoprotein B-neutralizing antibody structure at 2.8 Å uncovers a critical domain for herpesvirus fusion initiation. Nature Communications. 11(1). 4141–4141. 28 indexed citations
3.
Yang, Edward, Matthew R. Gardner, Amber S. Zhou, et al.. (2018). HIV-1 inhibitory properties of eCD4-Igmim2 determined using an Env-mediated membrane fusion assay. PLoS ONE. 13(10). e0206365–e0206365. 1 indexed citations
4.
Oliver, Stefan L., Edward Yang, & Ann M. Arvin. (2016). Varicella-Zoster Virus Glycoproteins: Entry, Replication, and Pathogenesis. Current Clinical Microbiology Reports. 3(4). 204–215. 40 indexed citations
5.
Yang, Edward, Ann M. Arvin, & Stefan L. Oliver. (2016). The Glycoprotein B Cytoplasmic Domain Lysine Cluster Is Critical for Varicella-Zoster Virus Cell-Cell Fusion Regulation and Infection. Journal of Virology. 91(1). 18 indexed citations
6.
Yang, Edward, Ann M. Arvin, & Stefan L. Oliver. (2016). Role for the αV Integrin Subunit in Varicella-Zoster Virus-Mediated Fusion and Infection. Journal of Virology. 90(16). 7567–7578. 20 indexed citations
7.
Oliver, Stefan L., Edward Yang, & Ann M. Arvin. (2016). Dysregulated Glycoprotein B-Mediated Cell-Cell Fusion Disrupts Varicella-Zoster Virus and Host Gene Transcription during Infection. Journal of Virology. 91(1). 16 indexed citations
8.
Oliver, Stefan L., Tuong-Vi Nguyen, Claudio Ciferri, et al.. (2015). A site of varicella-zoster virus vulnerability identified by structural studies of neutralizing antibodies bound to the glycoprotein complex gHgL. Proceedings of the National Academy of Sciences. 112(19). 6056–6061. 41 indexed citations
9.
Yang, Edward, Ann M. Arvin, & Stefan L. Oliver. (2014). The Cytoplasmic Domain of Varicella-Zoster Virus Glycoprotein H Regulates Syncytia Formation and Skin Pathogenesis. PLoS Pathogens. 10(5). e1004173–e1004173. 32 indexed citations
10.
Doedens, Andrew L., Anthony T. Phan, Martin Stradner, et al.. (2013). Hypoxia-inducible factors enhance the effector responses of CD8+ T cells to persistent antigen. Nature Immunology. 14(11). 1173–1182. 503 indexed citations breakdown →
11.
Best, J. Adam, David A. Blair, Jamie Knell, et al.. (2013). Transcriptional insights into the CD8+ T cell response to infection and memory T cell formation. Nature Immunology. 14(4). 404–412. 236 indexed citations
12.
Knell, Jamie, J. Adam Best, Nicholas A. Lind, et al.. (2013). Id2 Influences Differentiation of Killer Cell Lectin-like Receptor G1hi Short-Lived CD8+ Effector T Cells. The Journal of Immunology. 190(4). 1501–1509. 39 indexed citations
13.
Yang, Cliff Y., J. Adam Best, Jamie Knell, et al.. (2011). The transcriptional regulators Id2 and Id3 control the formation of distinct memory CD8+ T cell subsets. Nature Immunology. 12(12). 1221–1229. 303 indexed citations
14.
Cheung, Kitty P., Edward Yang, & Ananda W. Goldrath. (2009). Memory-Like CD8+ T Cells Generated during Homeostatic Proliferation Defer to Antigen-Experienced Memory Cells. The Journal of Immunology. 183(5). 3364–3372. 34 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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