Debra Wu
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Immunology top 10%
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
Papers in
-
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 2
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Samir Mitragotri (12 shared papers)Anusha Pusuluri (5 shared papers)C. Wyatt Shields (4 shared papers)Liwen Wang (4 shared papers)Zongmin Zhao (5 shared papers)Daniel C. Pan (3 shared papers)Junling Guo (3 shared papers)Anvay Ukidve (2 shared papers)
- Journals
- Bioengineering & Translational Medicine (3 papers)Pharmaceutics (2 papers)Journal of Controlled Release (2 papers)Advanced Functional Materials (1 paper)Advanced Materials (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Debra Wu
12 papers receiving 951 citations
Peers
Comparison fields: 5 of 101
- Biomaterials 289
- Immunology 251
- Biomedical Engineering 375
- Pharmaceutical Science 48
- Molecular Biology 387
Countries citing papers authored by Debra Wu
This map shows the geographic impact of Debra 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 Debra Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Wu more than expected).
Fields of papers citing papers by Debra Wu
This network shows the impact of papers produced by Debra 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 Debra Wu. The network helps show where Debra Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra 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 | 2020 | 332 | |
| 2 | 2020 | 150 | |
| 3 | 2020 | 142 | |
| 4 | 2020 | 113 | |
| 5 | 2019 | 52 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 31 | |
| 8 | 2019 | 29 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 23 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 4 |
About Debra Wu
Debra Wu is a scholar working on Molecular Biology, Oncology, Biomaterials, Immunology and Biomedical Engineering, having authored 12 papers that have together received 958 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Gastric Cancer Management and Outcomes (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Biomaterials (289 citations), Immunology (251 citations), Biomedical Engineering (375 citations), Pharmaceutical Science (48 citations) and Molecular Biology (387 citations). Debra Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Samir Mitragotri, Anusha Pusuluri, C. Wyatt Shields, Liwen Wang, Zongmin Zhao, Daniel C. Pan, Junling Guo, Anvay Ukidve, Michael A. Evans and Neil J. Baugh. Their work appears in journals such as Bioengineering & Translational Medicine, Pharmaceutics, Journal of Controlled Release, Advanced Functional Materials and Advanced Materials.
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.