Guangyang Yu
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
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- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Protein Degradation and Inhibitors
Papers in
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- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 2
- RNA modifications and cancer 2
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- Cancer-related molecular mechanisms research 3
- Cancer, Hypoxia, and Metabolism 3
- MicroRNA in disease regulation 2
- Co-authors
- Lijun Jia (4 shared papers)Lun–Xiu Qin (3 shared papers)Ming Lü (3 shared papers)Qiongzhu Dong (3 shared papers)Hu‐Liang Jia (3 shared papers)Wenwei Zhu (2 shared papers)Jinhong Chen (2 shared papers)Yiwei Chu (2 shared papers)
- Journals
- Cancers (2 papers)Cell Metabolism (1 paper)Cell Death Discovery (1 paper)Molecular & Cellular Proteomics (1 paper)Neuro-Oncology Advances (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Guangyang Yu
17 papers receiving 759 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 261
- Molecular Biology 580
- Oncology 221
- Cell Biology 78
- Immunology 86
Countries citing papers authored by Guangyang Yu
This map shows the geographic impact of Guangyang 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 Guangyang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyang Yu more than expected).
Fields of papers citing papers by Guangyang Yu
This network shows the impact of papers produced by Guangyang 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 Guangyang Yu. The network helps show where Guangyang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangyang 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 | 2012 | 202 | |
| 2 | 2019 | 101 | |
| 3 | 2018 | 98 | |
| 4 | 2015 | 74 | |
| 5 | 2014 | 67 | |
| 6 | 2014 | 46 | |
| 7 | 2018 | 31 | |
| 8 | 2021 | 29 | |
| 9 | 2018 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2021 | 22 | |
| 12 | 2018 | 20 | |
| 13 | 2021 | 16 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2018 | 1 |
About Guangyang Yu
Guangyang Yu is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Genetics, having authored 17 papers that have together received 761 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), MicroRNA in disease regulation (2 papers), Protein Degradation and Inhibitors (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related Molecular Pathways (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (261 citations), Molecular Biology (580 citations), Oncology (221 citations), Cell Biology (78 citations) and Immunology (86 citations). Guangyang Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lijun Jia, Lun–Xiu Qin, Ming Lü, Qiongzhu Dong, Hu‐Liang Jia, Wenwei Zhu, Jinhong Chen, Yiwei Chu, Lian-Xin Wang and Lak Shin Jeong. Their work appears in journals such as Cancers, Cell Metabolism, Cell Death Discovery, Molecular & Cellular Proteomics and Neuro-Oncology Advances.
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.