Zhuang Yu
- Cancer Research top 5%
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 8
- Cancer Genomics and Diagnostics 7
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 7
- Immunology top 10%
- Oncology top 10%
- Lung Cancer Research Studies 12
- Cancer Immunotherapy and Biomarkers 10
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- Lung Cancer Treatments and Mutations 18
- Gastric Cancer Management and Outcomes 7
- Co-authors
- Lianhua CuiGuoliang HuHaijiao LuPengfei MaGuanglei ZhuangYujie FuJing WangMei‐Chun Cai
- Journals
- Angewandte Chemie International Edition (1 paper)Journal of Clinical Oncology (6 papers)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhuang Yu
136 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cancer Research 543
- Molecular Biology 1.3k
- Immunology 344
- Oncology 429
- Pulmonary and Respiratory Medicine 428
Countries citing papers authored by Zhuang Yu
This map shows the geographic impact of Zhuang 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 Zhuang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuang Yu more than expected).
Fields of papers citing papers by Zhuang Yu
This network shows the impact of papers produced by Zhuang 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 Zhuang Yu. The network helps show where Zhuang Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhuang 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 | 2025 | 1 | |
| 2 | iMLGAM: Integrated Machine Learning and Genetic Algorithm‐driven Multiomics analysis for pan‐cancer immunotherapy response predictionbreakdown → | 2025 | 57 |
| 3 | 2024 | 8 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 28 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 33 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 30 | |
| 16 | 2020 | 23 | |
| 17 | 2018 | 204 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 12 | |
| 20 | Effect of cadmium on the concentration of ceruloplasmin and its mRNA expression in goats under molybdenum stress. | 2016 | 7 |
About Zhuang Yu
Zhuang Yu is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 144 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (18 papers), Lung Cancer Research Studies (12 papers), Cancer Immunotherapy and Biomarkers (10 papers), MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (8 papers), Ubiquitin and proteasome pathways (7 papers), Cancer Genomics and Diagnostics (7 papers) and Gastric Cancer Management and Outcomes (7 papers). The work is most often cited by research in Cancer Research (543 citations), Molecular Biology (1.3k citations) and Immunology (344 citations). Zhuang Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lianhua Cui, Guoliang Hu, Haijiao Lu, Pengfei Ma, Guanglei Zhuang, Yujie Fu, Jing Wang, Mei‐Chun Cai, Minjiang Chen and Xiaojing Zhao. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.