Yanqi Yu

418 citations
10 papers · 207 · h-index 8

Impact in

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

Papers in

    • CAR-T cell therapy research 5
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 2
    • Immune cells in cancer 2

Yanqi Yu

10 papers receiving 205 citations

Peers

Yanqi Yu
Comparison fields: 5 of 50
  • Immunology 96
  • Oncology 120
  • Biomedical Engineering 59
  • Biomaterials 11
  • Molecular Biology 56
Replace Jacqueline L. Yee with:
Jacqueline L. Yee United States
Rui Ding China
Katharine M. Wright United States
Miriam Alb Germany
Emilia M. Pulver Netherlands
Maxime Thoreau France
Anna-Lisa Lanz Germany
Natalia Nuñez‐Prado Spain
Shenxia Xie China
Ziyan Yu United States
Yanqi Yu relative to Jacqueline L. Yee United States Jacqueline L. Yee's profile →
Citations per field
00.5×2.8×
Jacqueline L. Yee · 1×
Citations per year

Countries citing papers authored by Yanqi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yanqi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Yanqi 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 Yanqi Yu Line = papers co-authored together Yanqi Yu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202248
2 202348
3 202230
4 202323
5 202216
6 202216
7 201713
8 20217
9 20214
10 20222

About Yanqi Yu

Yanqi Yu is a scholar working on Oncology, Immunology, Molecular Biology, Cell Biology and Microbiology, having authored 10 papers that have together received 207 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (2 papers), Bacterial Infections and Vaccines (2 papers), Cellular transport and secretion (2 papers), Immune cells in cancer (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Near-Field Optical Microscopy (1 paper). The work is most often cited by research in Immunology (96 citations), Oncology (120 citations), Biomedical Engineering (59 citations), Biomaterials (11 citations) and Molecular Biology (56 citations). Yanqi Yu has collaborated with scholars based in United States and Canada. Frequent co-authors include Yan-Ruide Li, Lili Yang, Zachary Spencer Dunn, Matthew Wilson, Pin Wang, Miao Li, Yan Yu, Yichen Zhu, Adam B. Kramer and James Brown. Their work appears in journals such as Cancers, Cells, Nature Communications, Communications Biology and Cell stem cell.

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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