Kun Yu
Impact in
- Rehabilitation top 0.5%
- Wound Healing and Treatments
- Biomaterials top 1%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
Papers in
- Biomaterials 19
- Silk-based biomaterials and applications 10
- Electrospun Nanofibers in Biomedical Applications 8
-
- Wound Healing and Treatments 13
- Co-authors
- Fei Lu (29 shared papers)Guangqian Lan (22 shared papers)Bitao Lu (22 shared papers)Fangying Dai (8 shared papers)Fangyin Dai (14 shared papers)Ruiqi Xie (17 shared papers)Enling Hu (19 shared papers)Rong Bao (10 shared papers)
In The Last Decade
Kun Yu
33 papers receiving 1.5k citations
Kun Yu's Hit Papers
Peers
Comparison fields: 5 of 95
- Rehabilitation 573
- Biomaterials 743
- Molecular Medicine 193
- Hematology 410
- Surfaces, Coatings and Films 106
Countries citing papers authored by Kun Yu
This map shows the geographic impact of Kun Yu'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 Kun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yu more than expected).
Fields of papers citing papers by Kun Yu
This network shows the impact of papers produced by Kun Yu. 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 Kun Yu. The network helps show where Kun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Yu, 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 | An injectable self-healing hydrogel with adhesive and antibacterial properties effectively promotes wound healing Hit paper breakdown → | 2018 | 311 |
| 2 | 2015 | 198 | |
| 3 | 2020 | 105 | |
| 4 | 2020 | 95 | |
| 5 | 2021 | 80 | |
| 6 | 2016 | 72 | |
| 7 | 2017 | 55 | |
| 8 | 2019 | 52 | |
| 9 | 2019 | 47 | |
| 10 | 2018 | 42 | |
| 11 | 2019 | 39 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 36 | |
| 14 | 2018 | 35 | |
| 15 | 2023 | 33 | |
| 16 | 2017 | 32 | |
| 17 | 2021 | 26 | |
| 18 | 2018 | 26 | |
| 19 | 2017 | 25 | |
| 20 | 2021 | 22 |
About Kun Yu
Kun Yu is a scholar working on Biomaterials, Rehabilitation, Hematology, Surgery and Materials Chemistry, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Wound Healing and Treatments (13 papers), Hemostasis and retained surgical items (11 papers), Silk-based biomaterials and applications (10 papers), Surgical Sutures and Adhesives (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (5 papers), Antimicrobial agents and applications (4 papers) and Pickering emulsions and particle stabilization (4 papers). The work is most often cited by research in Rehabilitation (573 citations), Biomaterials (743 citations), Molecular Medicine (193 citations), Hematology (410 citations) and Surfaces, Coatings and Films (106 citations). Kun Yu has collaborated with scholars based in China, Hong Kong and Austria. Frequent co-authors include Fei Lu, Guangqian Lan, Bitao Lu, Fangying Dai, Fangyin Dai, Ruiqi Xie, Enling Hu, Rong Bao, Qing Li and Junwen Cheng. Their work appears in journals such as International Journal of Biological Macromolecules, Carbohydrate Polymers, Bioactive Materials, Cellulose and ACS Applied Materials & Interfaces.
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.