Wei Wei

453 papers receiving 12.2k citations

Wei Wei's Hit Papers

Tough, self-healing and injectable dynamic nanocomposite hydrogel based on gelatin and sodium alginate 2024 · 82 citations
820+2+4Years since publication100200300

Peers

Wei Wei
Comparison fields: 5 of 192
  • Molecular Medicine 1.4k
  • Biomaterials 2.7k
  • Surfaces, Coatings and Films 1.0k
  • Rehabilitation 670
  • Pharmaceutical Science 443
Replace Yuan Yuan with:
Yuan Yuan China
C. James Kirkpatrick Germany
Roger W. Beuerman Singapore
Lei Nie China
Wenxin Wang China
Jianshu Li China
Wei Wang China
Mário A. Barbosa Portugal
Shan‐hui Hsu Taiwan
Malcolm Xing Canada
Wei Wei relative to Yuan Yuan China Yuan Yuan's profile →
Citations per field
00.5×2×2.8×
Yuan Yuan · 1×
Citations per year

Countries citing papers authored by Wei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 496 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exosomes from adipose‐derived stem cells and application to skin wound healing
Hit paper breakdown →
2021354
2
Advanced hydrogels for the repair of cartilage defects and regeneration
Hit paper breakdown →
2020306
3 2012239
4 2013236
5 2014200
6 2016196
7 2015171
8 2014169
9 2011159
10 2017154
11 2018152
12 2021145
13 2015142
14 2015130
15 2011126
16 2014125
17 2017121
18 2010120
19 2014119
20 2013119

About Wei Wei

Wei Wei is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Materials Chemistry and Surgery, having authored 496 papers that have together received 12.4k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (31 papers), Hydrogels: synthesis, properties, applications (22 papers), Autophagy in Disease and Therapy (22 papers), Molecular Sensors and Ion Detection (22 papers), Mesenchymal stem cell research (21 papers), Silk-based biomaterials and applications (21 papers), Wound Healing and Treatments (18 papers) and 3D Printing in Biomedical Research (18 papers). The work is most often cited by research in Molecular Medicine (1.4k citations), Biomaterials (2.7k citations), Surfaces, Coatings and Films (1.0k citations), Rehabilitation (670 citations) and Pharmaceutical Science (443 citations). Wei Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoliang Qi, Wei Dong, Jianfa Zhang, J. Herbert Waite, Jacob N. Israelachvili, Gancheng Zuo, Jing Yu, Xinyu Hu, Ting Su and Xihao Pan. Their work appears in journals such as Carbohydrate Polymers, Journal of Materials Chemistry B, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Colloids and Surfaces B Biointerfaces and International Journal of Biological Macromolecules.

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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