Wanting Su
Impact in
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- Immune Cell Function and Interaction
- Galectins and Cancer Biology
- Immune cells in cancer
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
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- Catalytic Processes in Materials Science 7
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- Advanced Chemical Sensor Technologies 3
- Co-authors
- Avijit Dutta (2 shared papers)Yung‐Chang Lin (2 shared papers)Ching‐Tai Huang (2 shared papers)Chun‐Yen Lin (2 shared papers)Wenjuan Wu (6 shared papers)Chiao-Wen Kang (1 shared paper)Yu‐Yi Chu (1 shared paper)Jy‐Ming Chiang (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (2 papers)Fuel (2 papers)Scientific Reports (1 paper)Applied Surface Science (1 paper)Biomedical Materials (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Wanting Su
30 papers receiving 354 citations
Peers
Comparison fields: 5 of 67
- Immunology 120
- Oncology 108
- Catalysis 16
- Electronic, Optical and Magnetic Materials 41
- Biomedical Engineering 75
Countries citing papers authored by Wanting Su
This map shows the geographic impact of Wanting 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 Wanting Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanting Su more than expected).
Fields of papers citing papers by Wanting Su
This network shows the impact of papers produced by Wanting 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 Wanting Su. The network helps show where Wanting Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanting 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 136 | |
| 2 | 2018 | 37 | |
| 3 | 2023 | 33 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 11 | |
| 6 | 2022 | 10 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2012 | 3 |
About Wanting Su
Wanting Su is a scholar working on Materials Chemistry, Biomedical Engineering, Organic Chemistry, Molecular Biology and Catalysis, having authored 36 papers that have together received 356 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (7 papers), Nanomaterials for catalytic reactions (6 papers), Catalysis and Oxidation Reactions (5 papers), Adsorption and biosorption for pollutant removal (3 papers), Supercapacitor Materials and Fabrication (3 papers), Advanced Chemical Sensor Technologies (3 papers), Catalysts for Methane Reforming (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Immunology (120 citations), Oncology (108 citations), Catalysis (16 citations), Electronic, Optical and Magnetic Materials (41 citations) and Biomedical Engineering (75 citations). Wanting Su has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Avijit Dutta, Yung‐Chang Lin, Ching‐Tai Huang, Chun‐Yen Lin, Wenjuan Wu, Chiao-Wen Kang, Yu‐Yi Chu, Jy‐Ming Chiang, Penghui Li and Li-Yuan Chang. Their work appears in journals such as International Journal of Biological Macromolecules, Fuel, Scientific Reports, Applied Surface Science and Biomedical Materials.
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.