Zhiya Yu

22.4k citations
95 papers · 14.2k indexed · 8 hit papers · h-index 54
  • Immunology top 0.1%
    • Immunotherapy and Immune Responses 50
    • Immune Cell Function and Interaction 34
    • T-cell and B-cell Immunology 25
  • Oncology top 0.1%
    • CAR-T cell therapy research 62
    • Cancer Immunotherapy and Biomarkers 18
  • Genetics top 0.5%
    • Virus-based gene therapy research 17
    • CRISPR and Genetic Engineering 5
    • Herpesvirus Infections and Treatments 5

Zhiya Yu

91 papers receiving 14.0k citations

Hit Papers

T cell stemness and dysfu...40920032026201020184008001.2k

Peers

Zhiya Yu
Comparison fields: 5 of 123
  • Immunology 8.6k
  • Oncology 8.8k
  • Genetics 2.4k
  • Molecular Biology 3.9k
  • Cancer Research 751
Replace Luca Gattinoni with:
Luca Gattinoni United States
Patrick Hwu United States
Udai S. Kammula United States
Cassian Yee United States
Catia Traversari Italy
Taku Okazaki Japan
James J. Mulé United States
Phillip K. Darcy Australia
Koji Tamada Japan
John R. Wunderlich United States
Zhiya Yu relative to Luca Gattinoni United States Luca Gattinoni's profile →
Citations per field
00.5×1.5×
Luca Gattinoni · 1×
Citations per year

Countries citing papers authored by Zhiya Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhiya Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20236
4 202129
5 201665
6 2016175
7 201689
8 201616
9 2013178
10 201390
11 2013349
12 201313
13 2012234
14 2010207
15 2010205
16 201060
17 200889
18
Removal of homeostatic cytokine sinks by lymphodepletion enhances the efficacy of adoptively transferred tumor-specific CD8 + T cellsbreakdown →
2005812
19 200589
20 200497

About Zhiya Yu

Zhiya Yu is a scholar working on Immunology, Oncology and Genetics, having authored 95 papers that have together received 14.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (62 papers), Immunotherapy and Immune Responses (50 papers), Immune Cell Function and Interaction (34 papers), T-cell and B-cell Immunology (25 papers), Cancer Immunotherapy and Biomarkers (18 papers), Virus-based gene therapy research (17 papers), Herpesvirus Infections and Treatments (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Immunology (8.6k citations), Oncology (8.8k citations) and Genetics (2.4k citations). Zhiya Yu has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include Nicholas P. Restifo, Steven A. Rosenberg, Douglas C. Palmer, Luca Gattinoni, Christopher A. Klebanoff, Pawel Muranski, Vanda A. Lennon, Yun Ji, Dhanalakshmi Chinnasamy and Chrystal M. Paulos. Their work appears in journals such as Journal of Clinical Investigation, Clinical Cancer Research, The Journal of Immunology, Cancer Research and Blood.

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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