Siyu Su
Impact in
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- Immune cells in cancer
- Immune Cell Function and Interaction
- Phagocytosis and Immune Regulation
- Immunotherapy and Immune Responses
- Pharmacology top 10%
- Berberine and alkaloids research
- Pharmacological Effects of Natural Compounds
Papers in
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- Risk and Safety Analysis 8
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- Occupational Health and Safety Research 6
- Co-authors
- Jiasi Wu (3 shared papers)Xianli Meng (5 shared papers)Ping Wang (4 shared papers)Yu Luo (3 shared papers)Dong Yang (3 shared papers)Yue Gao (2 shared papers)Youchao Sun (12 shared papers)Xiang Li (2 shared papers)
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (2 papers)Biomedicine & Pharmacotherapy (2 papers)Eksploatacja i Niezawodnosc - Maintenance and Reliability (1 paper)Phytotherapy Research (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Siyu Su
22 papers receiving 514 citations
Peers
Comparison fields: 5 of 111
- Immunology 149
- Pharmacology 53
- Toxicology 18
- Oncology 101
- Statistics, Probability and Uncertainty 26
Countries citing papers authored by Siyu Su
This map shows the geographic impact of Siyu 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 Siyu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyu Su more than expected).
Fields of papers citing papers by Siyu Su
This network shows the impact of papers produced by Siyu 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 Siyu Su. The network helps show where Siyu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Siyu 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2023 | 81 | |
| 3 | 2020 | 73 | |
| 4 | 2020 | 50 | |
| 5 | 2022 | 40 | |
| 6 | 2023 | 37 | |
| 7 | 2020 | 26 | |
| 8 | 2020 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 2022 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2023 | 2 |
About Siyu Su
Siyu Su is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality, Immunology and Molecular Biology, having authored 24 papers that have together received 522 indexed citations. Recurring topics across this work include Risk and Safety Analysis (8 papers), Occupational Health and Safety Research (6 papers), Fault Detection and Control Systems (4 papers), Traffic and Road Safety (3 papers), Immune cells in cancer (3 papers), Phagocytosis and Immune Regulation (2 papers), Forecasting Techniques and Applications (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Immunology (149 citations), Pharmacology (53 citations), Toxicology (18 citations), Oncology (101 citations) and Statistics, Probability and Uncertainty (26 citations). Siyu Su has collaborated with scholars based in China and United States. Frequent co-authors include Jiasi Wu, Xianli Meng, Ping Wang, Yu Luo, Dong Yang, Yue Gao, Youchao Sun, Xiang Li, Yi Zhang and Anhua Lei. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Biomedicine & Pharmacotherapy, Eksploatacja i Niezawodnosc - Maintenance and Reliability, Phytotherapy Research and Nature Communications.
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.