Danjun Wu
Impact in
- Pharmaceutical Science top 1%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Nanocomposite Films for Food Packaging
Papers in
-
- Advanced Drug Delivery Systems 17
- Drug Solubulity and Delivery Systems 4
- Biomaterials 15
- Nanoparticle-Based Drug Delivery 15
- Co-authors
- Thierry Delair (5 shared papers)Jingou Ji (7 shared papers)Yi Xu (6 shared papers)Gensheng Yang (12 shared papers)Shumin Xu (6 shared papers)Xueling Zhang (2 shared papers)Yi Li (1 shared paper)Shilei Hao (4 shared papers)
In The Last Decade
Danjun Wu
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Pharmaceutical Science 357
- Biomaterials 534
- Molecular Medicine 154
- Surfaces, Coatings and Films 94
- Organic Chemistry 224
Countries citing papers authored by Danjun Wu
This map shows the geographic impact of Danjun 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 Danjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danjun Wu more than expected).
Fields of papers citing papers by Danjun Wu
This network shows the impact of papers produced by Danjun 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 Danjun Wu. The network helps show where Danjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danjun 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 237 | |
| 2 | 2010 | 148 | |
| 3 | 2011 | 118 | |
| 4 | 2014 | 86 | |
| 5 | 2020 | 73 | |
| 6 | 2022 | 68 | |
| 7 | 2011 | 57 | |
| 8 | 2019 | 44 | |
| 9 | 2019 | 37 | |
| 10 | 2016 | 35 | |
| 11 | 2020 | 35 | |
| 12 | 2012 | 34 | |
| 13 | 2023 | 33 | |
| 14 | 2021 | 31 | |
| 15 | 2011 | 30 | |
| 16 | 2020 | 28 | |
| 17 | 2019 | 26 | |
| 18 | 2020 | 25 | |
| 19 | 2021 | 23 | |
| 20 | 2016 | 20 |
About Danjun Wu
Danjun Wu is a scholar working on Pharmaceutical Science, Biomaterials, Biomedical Engineering, Organic Chemistry and Molecular Biology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (17 papers), Nanoparticle-Based Drug Delivery (15 papers), Nanoplatforms for cancer theranostics (8 papers), Drug Solubulity and Delivery Systems (4 papers), Catalytic Alkyne Reactions (4 papers), RNA Interference and Gene Delivery (3 papers), Catalytic C–H Functionalization Methods (3 papers) and Synthetic Organic Chemistry Methods (3 papers). The work is most often cited by research in Pharmaceutical Science (357 citations), Biomaterials (534 citations), Molecular Medicine (154 citations), Surfaces, Coatings and Films (94 citations) and Organic Chemistry (224 citations). Danjun Wu has collaborated with scholars based in China, Belgium and Russia. Frequent co-authors include Thierry Delair, Jingou Ji, Yi Xu, Gensheng Yang, Shumin Xu, Xueling Zhang, Yi Li, Shilei Hao, Qinying Yan and Rui Huang. Their work appears in journals such as Carbohydrate Polymers, International Journal of Pharmaceutics, Polymer Bulletin, Journal of Applied Polymer Science and Organic & Biomolecular 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.