Yunping Wu
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- Advanced biosensing and bioanalysis techniques 13
- CRISPR and Genetic Engineering 5
-
- Biosensors and Analytical Detection 6
- Co-authors
- Richard L. Proia (7 shared papers)Yanbao Zhao (4 shared papers)Lei Sun (4 shared papers)María L. Allende (2 shared papers)Zhijie Zhang (3 shared papers)Zhihua Wang (3 shared papers)Tadashi Yamashita (2 shared papers)Yujing Liu (1 shared paper)
- Journals
- Chemical Science (3 papers)Journal of Materials Chemistry A (2 papers)Materials Science and Engineering C (2 papers)International Journal of Molecular Sciences (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yunping Wu
57 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 134
- Neurology 184
- Cell Biology 318
- Physiology 432
- Physiology 80
- Molecular Biology 1.1k
Countries citing papers authored by Yunping Wu
This map shows the geographic impact of Yunping 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 Yunping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunping Wu more than expected).
Fields of papers citing papers by Yunping Wu
This network shows the impact of papers produced by Yunping 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 Yunping Wu. The network helps show where Yunping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunping 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 353 | |
| 2 | 2005 | 198 | |
| 3 | 2017 | 158 | |
| 4 | 2004 | 155 | |
| 5 | 2016 | 147 | |
| 6 | 2010 | 144 | |
| 7 | 2017 | 91 | |
| 8 | 2008 | 88 | |
| 9 | 2010 | 85 | |
| 10 | 2004 | 84 | |
| 11 | 2018 | 79 | |
| 12 | 2021 | 75 | |
| 13 | 2020 | 72 | |
| 14 | 2021 | 58 | |
| 15 | 2021 | 45 | |
| 16 | 2023 | 40 | |
| 17 | 2000 | 39 | |
| 18 | 2004 | 30 | |
| 19 | 1998 | 29 | |
| 20 | 1997 | 25 |
About Yunping Wu
Yunping Wu is a scholar working on Molecular Biology, Biomedical Engineering, Physiology, Neurology and Electrical and Electronic Engineering, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Biosensors and Analytical Detection (6 papers), Lysosomal Storage Disorders Research (5 papers), CRISPR and Genetic Engineering (5 papers), Advancements in Battery Materials (4 papers), Nanoparticles: synthesis and applications (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Neurology (184 citations), Cell Biology (318 citations), Physiology (432 citations), Physiology (80 citations) and Molecular Biology (1.1k citations). Yunping Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Richard L. Proia, Yanbao Zhao, Lei Sun, María L. Allende, Zhijie Zhang, Zhihua Wang, Tadashi Yamashita, Yujing Liu, Teiji Sasaki and Mari Kono. Their work appears in journals such as Chemical Science, Journal of Materials Chemistry A, Materials Science and Engineering C, International Journal of Molecular Sciences and Analytical Chemistry.
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.