Winnie Yao

1000 citations
5 papers · 404 · 1 hit paper · h-index 4

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Immunotherapy and Immune Responses 1
    • Immune cells in cancer 1
    • Cancer Immunotherapy and Biomarkers 1
    • Chemokine receptors and signaling 1

Winnie Yao

4 papers receiving 402 citations

Winnie Yao's Hit Papers

Genome-wide CRISPR screens of T cell exhaustion identify chromatin remodeling factors that limit T cell persistence 2022 · 220 citations
2200+1+2Years since publication50100150200

Peers

Winnie Yao
Comparison fields: 5 of 52
  • Immunology 217
  • Oncology 164
  • Aging 6
  • Pathology and Forensic Medicine 44
  • Neurology 21
Replace David H. Lee with:
David H. Lee United States
Hila Shaim United States
Emily Nordquist United States
Mariela A. Moreno Ayala Argentina
Yonatan Katzenelenbogen Israel
Ingrid Lommerse Netherlands
Lorenzo Spagnuolo Switzerland
María Jesús Pinto-Medel Spain
Andrea Iannello Italy
Chujun Zhao China
Winnie Yao relative to David H. Lee United States David H. Lee's profile →
Citations per field
00.5×10×15×19×
David H. Lee · 1×
Citations per year

Countries citing papers authored by Winnie Yao

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
Genome-wide CRISPR screens of T cell exhaustion identify chromatin remodeling factors that limit T cell persistence
Hit paper breakdown →
2022220
2 2019143
3 202432
4 20239
5 20250

About Winnie Yao

Winnie Yao is a scholar working on Immunology, Oncology, Molecular Biology, Cancer Research and Infectious Diseases, having authored 5 papers that have together received 404 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Genomics and Chromatin Dynamics (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Immunotherapy and Immune Responses (1 paper), Chemokine receptors and signaling (1 paper), Immune cells in cancer (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Immunology (217 citations), Oncology (164 citations), Aging (6 citations), Pathology and Forensic Medicine (44 citations) and Neurology (21 citations). Winnie Yao has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Ansuman T. Satpathy, Zhuang Miao, Julia A. Belk, Nghi Ly, Katherine A. Freitas, Bence Dániel, Crystal L. Mackall, Quanming Shi, Eric Shifrut and Alan Ashworth. Their work appears in journals such as Cancer Cell, Genes & Development, Nature and PubMed Central.

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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