Jin Mei
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Surgery top 5%
- Tissue Engineering and Regenerative Medicine
- Reconstructive Surgery and Microvascular Techniques
Papers in
- Surgery 33
- Tissue Engineering and Regenerative Medicine 19
- Reconstructive Surgery and Microvascular Techniques 12
- Infectious Aortic and Vascular Conditions 2
- Biomaterials 18
- Electrospun Nanofibers in Biomedical Applications 18
- Co-authors
- Yaling Yu (12 shared papers)Yu‐Qiang Ding (6 shared papers)Maolin Tang (13 shared papers)Weihua Hu (7 shared papers)Li Chang (4 shared papers)Yingkuan Shao (2 shared papers)Zhibin Wang (8 shared papers)Lina Zhao (2 shared papers)
- Journals
- Journal of Biomedical Materials Research Part A (5 papers)Oncotarget (4 papers)Composites Part B Engineering (2 papers)Biomaterials (2 papers)Plastic & Reconstructive Surgery (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jin Mei
50 papers receiving 801 citations
Peers
Comparison fields: 5 of 83
- Biomaterials 253
- Surgery 451
- Infectious Diseases 89
- Rehabilitation 25
- Biomedical Engineering 172
Countries citing papers authored by Jin Mei
This map shows the geographic impact of Jin Mei'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 Jin Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Mei more than expected).
Fields of papers citing papers by Jin Mei
This network shows the impact of papers produced by Jin Mei. 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 Jin Mei. The network helps show where Jin Mei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Mei, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 91 | |
| 2 | 2020 | 87 | |
| 3 | 2016 | 79 | |
| 4 | 2021 | 52 | |
| 5 | 2012 | 50 | |
| 6 | 2018 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2016 | 23 | |
| 9 | 2020 | 22 | |
| 10 | 2021 | 20 | |
| 11 | 2015 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2009 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2005 | 15 | |
| 18 | 2014 | 15 | |
| 19 | 2016 | 15 | |
| 20 | 2021 | 14 |
About Jin Mei
Jin Mei is a scholar working on Surgery, Biomaterials, Infectious Diseases, Molecular Biology and Biomedical Engineering, having authored 50 papers that have together received 812 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (19 papers), Electrospun Nanofibers in Biomedical Applications (18 papers), Reconstructive Surgery and Microvascular Techniques (12 papers), COVID-19 Clinical Research Studies (7 papers), Renal and related cancers (3 papers), Long-Term Effects of COVID-19 (3 papers), Infectious Aortic and Vascular Conditions (2 papers) and Renal and Vascular Pathologies (2 papers). The work is most often cited by research in Biomaterials (253 citations), Surgery (451 citations), Infectious Diseases (89 citations), Rehabilitation (25 citations) and Biomedical Engineering (172 citations). Jin Mei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yaling Yu, Yu‐Qiang Ding, Maolin Tang, Weihua Hu, Li Chang, Yingkuan Shao, Zhibin Wang, Lina Zhao, Hongyun Lu and Kezhi Lin. Their work appears in journals such as Journal of Biomedical Materials Research Part A, Oncotarget, Composites Part B Engineering, Biomaterials and Plastic & Reconstructive Surgery.
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.