Yun Wu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- DNA Repair Mechanisms
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
Papers in
-
- MicroRNA in disease regulation 11
- Biomaterials 16
- Nanoparticle-Based Drug Delivery 12
- Co-authors
- Yunchen YangStephen C. KowalczykowskiYicheng MaoTomohiko SugiyamaVirginia A. ZakianS. Patrick Nana‐SinkamL. James LeeYanguang Cao
- Journals
- Journal of Biological Chemistry (5 papers)Molecular Pharmaceutics (4 papers)Cancer Research (3 papers)ACS Applied Materials & Interfaces (3 papers)Analytical Chemistry (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yun Wu
104 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 143
- Cancer Research 1.2k
- Molecular Biology 2.9k
- Biomaterials 489
- Oncology 886
- Aging 53
Countries citing papers authored by Yun Wu
This map shows the geographic impact of Yun 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 Yun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Wu more than expected).
Fields of papers citing papers by Yun Wu
This network shows the impact of papers produced by Yun 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 Yun Wu. The network helps show where Yun Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 18 | |
| 5 | 2023 | 59 | |
| 6 | 2023 | 33 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 39 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 101 | |
| 13 | 2018 | 163 | |
| 14 | 2018 | 36 | |
| 15 | 2018 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2018 | 36 | |
| 18 | 2012 | 119 | |
| 19 | 2008 | 207 | |
| 20 | 2003 | 51 |
About Yun Wu
Yun Wu is a scholar working on Cancer Research, Biomaterials, Molecular Biology, Oncology and Biomedical Engineering, having authored 113 papers that have together received 5.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (17 papers), Extracellular vesicles in disease (15 papers), Advanced biosensing and bioanalysis techniques (14 papers), Nanoparticle-Based Drug Delivery (12 papers), DNA Repair Mechanisms (11 papers), MicroRNA in disease regulation (11 papers), Nanoplatforms for cancer theranostics (8 papers) and HER2/EGFR in Cancer Research (8 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (2.9k citations), Biomaterials (489 citations), Oncology (886 citations) and Aging (53 citations). Yun Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yunchen Yang, Stephen C. Kowalczykowski, Yicheng Mao, Tomohiko Sugiyama, Virginia A. Zakian, S. Patrick Nana‐Sinkam, L. James Lee, Yanguang Cao, Mary E. Reid and Hua He. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmaceutics, Cancer Research, ACS Applied Materials & Interfaces 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.