Faye Yu

459 citations
10 papers · 325 · h-index 7

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • RNA regulation and disease 2
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2

Faye Yu

10 papers receiving 318 citations

Peers

Faye Yu
Comparison fields: 5 of 47
  • Virology 180
  • Immunology 158
  • Infectious Diseases 76
  • Radiology, Nuclear Medicine and Imaging 44
  • Molecular Biology 126
Replace Jonathan Hare with:
Jonathan Hare United States
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Zenaido T. Camacho United States
Chun-Yen Tsao United States
Rui Kong China
Daniëlle van Manen Netherlands
Ellis L. Reinherz United States
Matthew Bentham United Kingdom
Ganesh E. Phad Sweden
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Faye Yu relative to Jonathan Hare United States Jonathan Hare's profile →
Citations per field
00.5×6.3×
Jonathan Hare · 1×
Citations per year

Countries citing papers authored by Faye Yu

Since Specialization
Citations

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

Fields of papers citing papers by Faye Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Faye Yu, 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 Faye Yu Line = papers co-authored together Faye Yu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2004109
2 201062
3 201440
4 200537
5 201130
6 201721
7 200514
8 20216
9 20195
10 20221

About Faye Yu

Faye Yu is a scholar working on Molecular Biology, Immunology, Virology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 10 papers that have together received 325 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Immunotherapy and Immune Responses (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Virology (180 citations), Immunology (158 citations), Infectious Diseases (76 citations), Radiology, Nuclear Medicine and Imaging (44 citations) and Molecular Biology (126 citations). Faye Yu has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include David D. Ho, Yaoxing Huang, Norman L. Letvin, Michael S. Seaman, Ruijiang Song, David Franco, Gary J. Nabel, John R. Mascola, Shu-Ching Huang and Edward J. Benz. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Molecular and Cellular Biology, Neurology and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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