Danjun Wu

1.5k citations
34 papers · 1.2k indexed · h-index 20

Impact in

    • Advanced Drug Delivery Systems
    • Drug Solubulity and Delivery Systems
    • Nanoparticle-Based Drug Delivery
    • Nanocomposite Films for Food Packaging

Papers in

Danjun Wu

34 papers receiving 1.2k citations

Peers

Danjun Wu
Comparison fields: 5 of 112
  • Pharmaceutical Science 343
  • Biomaterials 502
  • Molecular Medicine 144
  • Surfaces, Coatings and Films 82
  • Organic Chemistry 217
Replace Zhaowu Zeng with:
Zhaowu Zeng China
Laura Chronopoulou Italy
Mohamad Tarhini France
Jülide Akbuğa Türkiye
Ghareb M. Soliman Egypt
Jiafu Cao South Korea
Jianhong Yang China
M.R. Rekha India
Somsak Saesoo Thailand
Cuifang Cai China
Danjun Wu relative to Zhaowu Zeng China Zhaowu Zeng's profile →
Citations per field
00.5×1.5×
Zhaowu Zeng · 1×
Citations per year

Countries citing papers authored by Danjun Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Danjun Wu Line = papers co-authored together Danjun Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020218
2 2010144
3 2011113
4 201478
5 202067
6 202264
7 201153
8 201944
9 202034
10 201933
11 201632
12 201230
13 202126
14 201126
15 202325
16 201925
17 202025
18 202024
19 202122
20 201619

About Danjun Wu

Danjun Wu is a scholar working on Pharmaceutical Science, Biomaterials, Virology, Molecular Medicine and Surfaces, Coatings and Films, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (17 papers), Nanoparticle-Based Drug Delivery (16 papers), Nanoplatforms for cancer theranostics (8 papers), Drug Solubulity and Delivery Systems (4 papers), RNA Interference and Gene Delivery (4 papers), Catalytic Alkyne Reactions (4 papers), HIV Research and Treatment (3 papers) and Catalytic C–H Functionalization Methods (3 papers). The work is most often cited by research in Pharmaceutical Science (343 citations), Biomaterials (502 citations), Molecular Medicine (144 citations), Surfaces, Coatings and Films (82 citations) and Organic Chemistry (217 citations). Danjun Wu has collaborated with scholars based in China, Russia and France. Frequent co-authors include Thierry Delair, Jingou Ji, Yi Xu, Gensheng Yang, Shilei Hao, Shumin Xu, Xueling Zhang, Yi Li, Weiqi Liu and Qinying Yan. Their work appears in journals such as Carbohydrate Polymers, International Journal of Pharmaceutics, Journal of Applied Polymer Science, Polymer Bulletin 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.

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