Yi-Ru Yu
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Immune cells in cancer 5
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
- Co-authors
- Ping‐Chih Ho (11 shared papers)Fabien Franco (5 shared papers)Alison Jaccard (1 shared paper)Pedro Romero (1 shared paper)Zhengtao Xiao (2 shared papers)Jason W. Locasale (2 shared papers)Nicola Vannini (2 shared papers)Yi-Fan Jiang (1 shared paper)
- Journals
- Nature Immunology (2 papers)Cell Metabolism (1 paper)Science Immunology (1 paper)Human Molecular Genetics (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- SwitzerlandTaiwanUnited States
In The Last Decade
Yi-Ru Yu
13 papers receiving 1.1k citations
Yi-Ru Yu's Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology 619
- Oncology 403
- Cancer Research 189
- Biological Psychiatry 23
- Physiology 31
Countries citing papers authored by Yi-Ru Yu
This map shows the geographic impact of Yi-Ru 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 Yi-Ru Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Ru Yu more than expected).
Fields of papers citing papers by Yi-Ru Yu
This network shows the impact of papers produced by Yi-Ru 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 Yi-Ru Yu. The network helps show where Yi-Ru Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi-Ru Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustion Hit paper breakdown → | 2020 | 370 |
| 2 | 2020 | 283 | |
| 3 | 2021 | 144 | |
| 4 | 2022 | 85 | |
| 5 | 2014 | 47 | |
| 6 | 2023 | 38 | |
| 7 | 2020 | 36 | |
| 8 | 2020 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2020 | 13 | |
| 11 | 2013 | 10 | |
| 12 | 2015 | 7 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 |
About Yi-Ru Yu
Yi-Ru Yu is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Neurology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Immune Cell Function and Interaction (4 papers), Cancer Research and Treatments (2 papers), T-cell and B-cell Immunology (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Autophagy in Disease and Therapy (2 papers) and Paraoxonase enzyme and polymorphisms (1 paper). The work is most often cited by research in Immunology (619 citations), Oncology (403 citations), Cancer Research (189 citations), Biological Psychiatry (23 citations) and Physiology (31 citations). Yi-Ru Yu has collaborated with scholars based in Switzerland, Taiwan and United States. Frequent co-authors include Ping‐Chih Ho, Fabien Franco, Alison Jaccard, Pedro Romero, Zhengtao Xiao, Jason W. Locasale, Nicola Vannini, Yi-Fan Jiang, Camilla Jandus and Li Tang. Their work appears in journals such as Nature Immunology, Cell Metabolism, Science Immunology, Human Molecular Genetics and Disease Models & Mechanisms.
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.