Dawei Jin
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
- Surgery 11
- Tissue Engineering and Regenerative Medicine 5
- Surgical Sutures and Adhesives 2
- Biomaterials 10
- Electrospun Nanofibers in Biomedical Applications 10
- Co-authors
- Meng Yin (15 shared papers)Xue Qu (6 shared papers)Changsheng Liu (5 shared papers)Shu‐Ting Wu (5 shared papers)Haoqi Tan (4 shared papers)Meng Yin (3 shared papers)Xiumei Mo (3 shared papers)Xin Chen (1 shared paper)
- Journals
- Bioactive Materials (3 papers)Biomaterials Science (2 papers)Acta Biomaterialia (2 papers)Journal of Materials Chemistry B (2 papers)Advanced Materials (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Dawei Jin
18 papers receiving 770 citations
Peers
Comparison fields: 5 of 89
- Biomaterials 387
- Rehabilitation 123
- Molecular Medicine 45
- Urology 51
- Surfaces, Coatings and Films 62
Countries citing papers authored by Dawei Jin
This map shows the geographic impact of Dawei Jin'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 Dawei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Jin more than expected).
Fields of papers citing papers by Dawei Jin
This network shows the impact of papers produced by Dawei Jin. 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 Dawei Jin. The network helps show where Dawei Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 148 | |
| 2 | 2018 | 104 | |
| 3 | 2021 | 102 | |
| 4 | 2020 | 53 | |
| 5 | 2019 | 48 | |
| 6 | 2023 | 46 | |
| 7 | 2019 | 43 | |
| 8 | 2020 | 41 | |
| 9 | 2021 | 37 | |
| 10 | 2018 | 37 | |
| 11 | 2021 | 29 | |
| 12 | 2023 | 22 | |
| 13 | 2020 | 20 | |
| 14 | 2020 | 17 | |
| 15 | 2023 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2016 | 5 | |
| 18 | 2021 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Dawei Jin
Dawei Jin is a scholar working on Surgery, Biomaterials, Rehabilitation, Organic Chemistry and Molecular Biology, having authored 20 papers that have together received 779 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (10 papers), Tissue Engineering and Regenerative Medicine (5 papers), Wound Healing and Treatments (3 papers), Polymer Surface Interaction Studies (2 papers), Antimicrobial agents and applications (2 papers), Surgical Sutures and Adhesives (2 papers), Sulfur Compounds in Biology (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Biomaterials (387 citations), Rehabilitation (123 citations), Molecular Medicine (45 citations), Urology (51 citations) and Surfaces, Coatings and Films (62 citations). Dawei Jin has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Meng Yin, Xue Qu, Changsheng Liu, Shu‐Ting Wu, Haoqi Tan, Meng Yin, Xiumei Mo, Xin Chen, Xi He and Ali Aldalbahi. Their work appears in journals such as Bioactive Materials, Biomaterials Science, Acta Biomaterialia, Journal of Materials Chemistry B and Advanced Materials.
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.