Sixuan Wu
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
Papers in
-
- Advanced biosensing and bioanalysis techniques 7
- RNA Interference and Gene Delivery 3
-
- Lung Cancer Treatments and Mutations 5
- Ferroptosis and cancer prognosis 4
- Co-authors
- Kaixiang Zhang (12 shared papers)Jinjin Shi (15 shared papers)Junjie Liu (9 shared papers)Jingyi An (9 shared papers)Zhenzhong Zhang (5 shared papers)Yan Liang (8 shared papers)Hongling Zhang (3 shared papers)Jiali Yang (6 shared papers)
- Journals
- Advanced Science (5 papers)Frontiers in Immunology (3 papers)Advanced Functional Materials (2 papers)Frontiers in Microbiology (2 papers)Ecological Indicators (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Sixuan Wu
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Biomaterials 133
- Biomedical Engineering 429
- Cancer Research 90
- Materials Chemistry 296
- Molecular Biology 374
Countries citing papers authored by Sixuan Wu
This map shows the geographic impact of Sixuan Wu'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 Sixuan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sixuan Wu more than expected).
Fields of papers citing papers by Sixuan Wu
This network shows the impact of papers produced by Sixuan Wu. 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 Sixuan Wu. The network helps show where Sixuan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sixuan Wu, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 158 | |
| 2 | 2020 | 127 | |
| 3 | 2019 | 125 | |
| 4 | 2021 | 120 | |
| 5 | 2020 | 64 | |
| 6 | 2022 | 62 | |
| 7 | 2022 | 60 | |
| 8 | 2022 | 58 | |
| 9 | 2022 | 56 | |
| 10 | 2023 | 27 | |
| 11 | 2023 | 25 | |
| 12 | 2023 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2022 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 6 |
About Sixuan Wu
Sixuan Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering, Oncology and Epidemiology, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Lung Cancer Treatments and Mutations (5 papers), Nanoplatforms for cancer theranostics (5 papers), Lung Cancer Research Studies (4 papers), Ferroptosis and cancer prognosis (4 papers), Vector-Borne Animal Diseases (3 papers), RNA Interference and Gene Delivery (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Biomaterials (133 citations), Biomedical Engineering (429 citations), Cancer Research (90 citations), Materials Chemistry (296 citations) and Molecular Biology (374 citations). Sixuan Wu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Kaixiang Zhang, Jinjin Shi, Junjie Liu, Jingyi An, Zhenzhong Zhang, Yan Liang, Hongling Zhang, Jiali Yang, Shangshang Qin and Yale Yue. Their work appears in journals such as Advanced Science, Frontiers in Immunology, Advanced Functional Materials, Frontiers in Microbiology and Ecological Indicators.
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.