Chune Yu
Impact in
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- Cancer-related molecular mechanisms research
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- CAR-T cell therapy research
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 4
- Colorectal Cancer Treatments and Studies 2
- CAR-T cell therapy research 2
- Cancer-related Molecular Pathways 2
- Cancer Cells and Metastasis 2
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- Cell Adhesion Molecules Research 3
- Co-authors
- Hubing Shi (8 shared papers)Jiqiao Yang (6 shared papers)Xuelei Ma (6 shared papers)Xiaowei Liu (5 shared papers)Xiaobo Zheng (8 shared papers)Jing Yu (8 shared papers)Mingqing Xu (5 shared papers)Min Zhang (2 shared papers)
- Journals
- Aging (2 papers)Frontiers in Oncology (2 papers)Signal Transduction and Targeted Therapy (1 paper)Annals of Oncology (1 paper)Cell (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Chune Yu
16 papers receiving 529 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 111
- Oncology 197
- Immunology 112
- Molecular Biology 249
- Immunology and Allergy 16
Countries citing papers authored by Chune Yu
This map shows the geographic impact of Chune 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 Chune Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chune Yu more than expected).
Fields of papers citing papers by Chune Yu
This network shows the impact of papers produced by Chune 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 Chune Yu. The network helps show where Chune Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chune 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 | 2019 | 103 | |
| 2 | 2022 | 72 | |
| 3 | 2020 | 68 | |
| 4 | 2021 | 56 | |
| 5 | 2024 | 53 | |
| 6 | 2021 | 48 | |
| 7 | 2019 | 35 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 5 | |
| 14 | 2018 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2025 | 0 |
About Chune Yu
Chune Yu is a scholar working on Oncology, Immunology and Allergy, Cancer Research, Immunology and Molecular Biology, having authored 18 papers that have together received 531 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Melanoma and MAPK Pathways (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cell Adhesion Molecules Research (3 papers), Colorectal Cancer Treatments and Studies (2 papers), CAR-T cell therapy research (2 papers), Cancer-related Molecular Pathways (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (111 citations), Oncology (197 citations), Immunology (112 citations), Molecular Biology (249 citations) and Immunology and Allergy (16 citations). Chune Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hubing Shi, Jiqiao Yang, Xuelei Ma, Xiaowei Liu, Xiaobo Zheng, Jing Yu, Mingqing Xu, Min Zhang, Ya Luo and Hongyu Jin. Their work appears in journals such as Aging, Frontiers in Oncology, Signal Transduction and Targeted Therapy, Annals of Oncology and 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.