Jun Wu

15.9k total citations · 8 hit papers
247 papers, 13.3k citations indexed

About

Jun Wu is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Jun Wu has authored 247 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 82 papers in Biomedical Engineering and 75 papers in Biomaterials. Recurrent topics in Jun Wu's work include Nanoparticle-Based Drug Delivery (46 papers), RNA Interference and Gene Delivery (40 papers) and Nanoplatforms for cancer theranostics (29 papers). Jun Wu is often cited by papers focused on Nanoparticle-Based Drug Delivery (46 papers), RNA Interference and Gene Delivery (40 papers) and Nanoplatforms for cancer theranostics (29 papers). Jun Wu collaborates with scholars based in China, Hong Kong and United States. Jun Wu's co-authors include Guiting Liu, Jinjun Shi, Zejun Xu, Omid C. Farokhzad, Shuyan Han, Zhipeng Gu, Kwk Yeung, Keqing Huang, Zhipeng Gu and Robert J. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Jun Wu

243 papers receiving 13.1k citations

Hit Papers

Advances and Impact of Antioxidant Hydrogel in Chronic Wo... 2020 2026 2022 2024 2020 2021 2021 2020 2021 100 200 300 400 500

Peers

Jun Wu
Comparison fields: 5 of 161
  • Biomedical Engineering 5.2k
  • Biomaterials 4.7k
  • Molecular Biology 4.6k
  • Materials Chemistry 1.5k
  • Rehabilitation 1.4k
Replace Pooyan Makvandi with:
Pooyan Makvandi Iran
Deling Kong China
Ilídio J. Correia Portugal
Jun Wu China
Jianliang Shen China
Soodabeh Davaran Iran
Abolfazl Akbarzadeh Iran
Weiwei Wang China
Jong Oh Kim South Korea
Mohammad‐Ali Shahbazi Finland
Pooyan Makvandi Iran View profile →
Citations per field, relative to Jun Wu
Jun Wu · 1×
Citations per year, relative to Jun Wu
Jun Wu · 1×

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wu. A scholar is included among the top collaborators of Jun Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Wu. Jun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 0
3 3
4 4
5 6
6
Ultrasound-triggered interfacial engineering-based microneedle for bacterial infection acne treatment breakdown →
119
7 14
8 51
9 102
10
Advances of hydrogel dressings in diabetic wounds breakdown →
275
11 41
12 25
13 22
14 46
15 70
16 28
17 189
18 183
19 319
20
[Rotenoids from Derris trifoliata].
2

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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