Wei Su
Impact in
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- Cancer Genomics and Diagnostics
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Rice Cultivation and Yield Improvement
- GABA and Rice Research
- Plant nutrient uptake and metabolism
- Plant Molecular Biology Research
Papers in
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- Gene expression and cancer classification 2
- Ion Transport and Channel Regulation 2
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- HVDC Systems and Fault Protection 3
- Electrical Fault Detection and Protection 2
- High-Voltage Power Transmission Systems 2
- Silicon Carbide Semiconductor Technologies 2
- Co-authors
- Koji Kadota (1 shared paper)Jianqiang Sun (1 shared paper)Kentaro K. Shimizu (1 shared paper)Yan Peng (1 shared paper)Xin Yu (1 shared paper)H. A. Quamme (1 shared paper)Xueli Bai (3 shared papers)Xiaojin Luo (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (2 papers)Cancer Letters (1 paper)Cell Research (1 paper)Biomarker Research (1 paper)Chemico-Biological Interactions (1 paper)
- Partner nations
- ChinaUnited StatesBulgaria
In The Last Decade
Wei Su
38 papers receiving 625 citations
Peers
Comparison fields: 5 of 104
- Cancer Research 87
- Plant Science 234
- Oncology 83
- Molecular Biology 224
- Genetics 87
Countries citing papers authored by Wei Su
This map shows the geographic impact of Wei Su'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 Wei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Su more than expected).
Fields of papers citing papers by Wei Su
This network shows the impact of papers produced by Wei Su. 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 Wei Su. The network helps show where Wei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 101 | |
| 2 | 2006 | 101 | |
| 3 | 2019 | 81 | |
| 4 | 2018 | 74 | |
| 5 | 2022 | 39 | |
| 6 | 2016 | 37 | |
| 7 | 1995 | 35 | |
| 8 | 2020 | 32 | |
| 9 | 2014 | 32 | |
| 10 | 2017 | 16 | |
| 11 | 2012 | 10 | |
| 12 | 2011 | 9 | |
| 13 | 2008 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2013 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2010 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Wei Su
Wei Su is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Information Systems, Plant Science and Cancer Research, having authored 46 papers that have together received 650 indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (3 papers), Risk and Safety Analysis (2 papers), Electrical Fault Detection and Protection (2 papers), High-Voltage Power Transmission Systems (2 papers), Cancer Genomics and Diagnostics (2 papers), Silicon Carbide Semiconductor Technologies (2 papers), Gene expression and cancer classification (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Cancer Research (87 citations), Plant Science (234 citations), Oncology (83 citations), Molecular Biology (224 citations) and Genetics (87 citations). Wei Su has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Koji Kadota, Jianqiang Sun, Kentaro K. Shimizu, Yan Peng, Xin Yu, H. A. Quamme, Xueli Bai, Xiaojin Luo, Yongcai Fu and Tao Ma. Their work appears in journals such as Molecular Cancer Therapeutics, Cancer Letters, Cell Research, Biomarker Research and Chemico-Biological Interactions.
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.