Ya Wu
Impact in
- Pharmaceutical Science top 10%
- Advanced Drug Delivery Systems
Papers in
-
- RNA Interference and Gene Delivery 3
- Surgery 8
- Transplantation: Methods and Outcomes 3
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Mingxing Xie (10 shared papers)Qiaofeng Jin (10 shared papers)Jiangeng Huang (4 shared papers)Li Gao (3 shared papers)Luqin Si (4 shared papers)Yihan Chen (7 shared papers)Li Zhang (8 shared papers)Yali Yang (7 shared papers)
- Journals
- International Journal of Pharmaceutics (3 papers)Advanced Healthcare Materials (3 papers)Molecular Pharmaceutics (2 papers)Biomaterials Science (2 papers)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ya Wu
23 papers receiving 313 citations
Peers
Comparison fields: 5 of 76
- Pharmaceutical Science 39
- Transplantation 16
- Biomaterials 50
- Pharmacology 31
- Biomedical Engineering 81
Countries citing papers authored by Ya Wu
This map shows the geographic impact of Ya 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 Ya Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Wu more than expected).
Fields of papers citing papers by Ya Wu
This network shows the impact of papers produced by Ya 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 Ya Wu. The network helps show where Ya Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2017 | 30 | |
| 3 | 2023 | 27 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 20 | |
| 6 | 2019 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2021 | 5 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Ya Wu
Ya Wu is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Materials Chemistry and Pharmaceutical Science, having authored 24 papers that have together received 315 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (4 papers), Transplantation: Methods and Outcomes (3 papers), Inflammatory Bowel Disease (3 papers), Ultrasound and Hyperthermia Applications (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced Drug Delivery Systems (3 papers), Luminescence and Fluorescent Materials (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Pharmaceutical Science (39 citations), Transplantation (16 citations), Biomaterials (50 citations), Pharmacology (31 citations) and Biomedical Engineering (81 citations). Ya Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Mingxing Xie, Qiaofeng Jin, Jiangeng Huang, Li Gao, Luqin Si, Yihan Chen, Li Zhang, Yali Yang, Huiling Li and Minghui Sun. Their work appears in journals such as International Journal of Pharmaceutics, Advanced Healthcare Materials, Molecular Pharmaceutics, Biomaterials Science and Frontiers in Microbiology.
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.