Zhiya Yu

22.4k citations
95 papers · 14.2k indexed · 8 hit papers · h-index 54
Topics
CAR-T cell therapy research (62 papers)Immunotherapy and Immune Responses (50 papers)Immune Cell Function and Interaction (34 papers)

In The Last Decade

Zhiya Yu

91 papers receiving 14.0k citations

Hit Papers

A human memory T cell subset with stem cell–like properties2003202620102018201120052009200320134008001.2k

Peers

Zhiya Yu
Comparison fields: 5 of 123
  • Oncology 8.8k
  • Immunology 8.6k
  • Molecular Biology 3.9k
  • Genetics 2.4k
  • Biomedical Engineering 1.5k
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 of co-authors of Zhiya Yu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 6
4 29
5 65
6 175
7 89
8 16
9 178
10 90
11 349
12 13
13 234
14 207
15 205
16 60
17 89
18
Removal of homeostatic cytokine sinks by lymphodepletion enhances the efficacy of adoptively transferred tumor-specific CD8 + T cellsbreakdown →
812
19 89
20 97

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) and Immune Cell Function and Interaction (34 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 Nature, Science and New England Journal of Medicine.

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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