Su Phyu
Impact in
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
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- Metabolism, Diabetes, and Cancer 3
- Metabolomics and Mass Spectrometry Studies 3
- Oncology 9
- CAR-T cell therapy research 5
- Co-authors
- Timothy Smith (8 shared papers)Hideho Okada (8 shared papers)Chih‐Chung Tseng (3 shared papers)Ian N. Fleming (2 shared papers)Eileen E. Parkes (2 shared papers)Stephen Lockett (1 shared paper)Ryusuke Hatae (3 shared papers)Tiffany Chen (4 shared papers)
- Journals
- Neuro-Oncology (2 papers)Magnetic Resonance Materials in Physics Biology and Medicine (1 paper)Scientific Reports (1 paper)Investigational New Drugs (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Su Phyu
19 papers receiving 236 citations
Peers
Comparison fields: 5 of 50
- Oncology 124
- Immunology 73
- Cancer Research 42
- Genetics 18
- Molecular Biology 107
Countries citing papers authored by Su Phyu
This map shows the geographic impact of Su Phyu'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 Su Phyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Phyu more than expected).
Fields of papers citing papers by Su Phyu
This network shows the impact of papers produced by Su Phyu. 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 Su Phyu. The network helps show where Su Phyu may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Phyu, 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 | 2020 | 49 | |
| 2 | 2024 | 32 | |
| 3 | 2024 | 27 | |
| 4 | 2021 | 27 | |
| 5 | 2024 | 18 | |
| 6 | 2016 | 16 | |
| 7 | Effects of Administered Cardioprotective Drugs on Treatment Response of Breast Cancer Cells. | 2016 | 16 |
| 8 | 2016 | 15 | |
| 9 | 2015 | 12 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 7 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2017 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2023 | 0 |
About Su Phyu
Su Phyu is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Neurology, having authored 20 papers that have together received 243 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cancer, Lipids, and Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Oncology (124 citations), Immunology (73 citations), Cancer Research (42 citations), Genetics (18 citations) and Molecular Biology (107 citations). Su Phyu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Timothy Smith, Hideho Okada, Chih‐Chung Tseng, Ian N. Fleming, Eileen E. Parkes, Stephen Lockett, Ryusuke Hatae, Tiffany Chen, Ruth J. Muschel and Emma Murphy. Their work appears in journals such as Neuro-Oncology, Magnetic Resonance Materials in Physics Biology and Medicine, Scientific Reports, Investigational New Drugs and British Journal of Cancer.
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.