Junzi Wu

4.3k citations
84 papers · 2.7k · h-index 33

Impact in

Papers in

Junzi Wu

81 papers receiving 2.7k citations

Peers

Junzi Wu
Comparison fields: 5 of 116
  • Biomaterials 1.3k
  • Molecular Medicine 168
  • Pharmaceutical Science 205
  • Biomedical Engineering 1.4k
  • Rehabilitation 186
Replace Patrícia Figueiredo with:
Patrícia Figueiredo Finland
Ashkan Bigham Iran
Esmaeel Sharifi Iran
Sandhra M. Carvalho Brazil
Ishita Matai India
Rangrang Fan China
Atefeh Zarepour Türkiye
Heyu Li China
Zongrui Tong China
Prajakta Dandekar India
Junzi Wu relative to Patrícia Figueiredo Finland Patrícia Figueiredo's profile →
Citations per field
00.5×1.5×
Patrícia Figueiredo · 1×
Citations per year

Countries citing papers authored by Junzi Wu

Since Specialization
Citations

This map shows the geographic impact of Junzi 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 Junzi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junzi Wu more than expected).

Fields of papers citing papers by Junzi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junzi 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 Junzi Wu. The network helps show where Junzi Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Junzi 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 Junzi Wu Line = papers co-authored together Junzi Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019189
2 2016120
3 2019111
4 2016109
5 2018100
6 201794
7 201991
8 202191
9 201890
10 201885
11 201977
12 201976
13 201965
14 202064
15 201961
16 201956
17 201955
18 201254
19 201753
20 201953

About Junzi Wu

Junzi Wu is a scholar working on Biomaterials, Biomedical Engineering, Molecular Biology, Materials Chemistry and Molecular Medicine, having authored 84 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (29 papers), Nanoplatforms for cancer theranostics (28 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Extracellular vesicles in disease (10 papers), Advanced Nanomaterials in Catalysis (9 papers), Hydrogels: synthesis, properties, applications (8 papers), Wound Healing and Treatments (6 papers) and Icing and De-icing Technologies (5 papers). The work is most often cited by research in Biomaterials (1.3k citations), Molecular Medicine (168 citations), Pharmaceutical Science (205 citations), Biomedical Engineering (1.4k citations) and Rehabilitation (186 citations). Junzi Wu has collaborated with scholars based in China, United Kingdom and Pakistan. Frequent co-authors include Li‐Min Zhu, Gareth R. Williams, Shiwei Niu, Haijun Wang, Heyu Li, Xiaotian Xie, David H. Bremner, Xiaozhu Sun, Huanling Wu and Feng Gao. Their work appears in journals such as Colloids and Surfaces B Biointerfaces, International Journal of Nanomedicine, Materials Science and Engineering C, Anti-Cancer Agents in Medicinal Chemistry and Pharmaceutics.

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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