Chunmei Li
- Biomaterials top 0.05%
- Biomedical Engineering top 0.5%
- Molecular Biology top 10%
- Surfaces, Coatings and Films top 0.5%
- Surgery top 5%
- Co-authors
- David L. KaplanHyoung‐Joon JinHyeon Joo KimShengjie LingChengchen GuoWenwen HuangFiorenzo G. OmenettoRegina Valluzzi
- Topics
- Silk-based biomaterials and applications (29 papers)Electrospun Nanofibers in Biomedical Applications (13 papers)Bone Tissue Engineering Materials (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyChemical Society Reviews
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chunmei Li
104 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Biomaterials 4.5k
- Biomedical Engineering 3.1k
- Molecular Biology 1.3k
- Surfaces, Coatings and Films 629
- Surgery 604
Countries citing papers authored by Chunmei Li
This map shows the geographic impact of Chunmei Li'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 Chunmei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunmei Li more than expected).
Fields of papers citing papers by Chunmei Li
This network shows the impact of papers produced by Chunmei Li. 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 Chunmei Li. The network helps show where Chunmei Li may publish in the future.
Co-authorship network of co-authors of Chunmei Li
This figure shows the co-authorship network connecting the top 25 collaborators of Chunmei Li. A scholar is included among the top collaborators of Chunmei Li 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 Chunmei Li. Chunmei Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 27 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | High PAQR4 mRNA Expression May Play a Key Role in Prognosis of Kidney Renal Papillary Cell Carcinoma. | 0 |
| 12 | 15 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 13 | |
| 16 | 12 | |
| 17 | 18 | |
| 18 | 1 | |
| 19 | The expressions and roles of S100A6 and S100A10 in gastric cancer | 3 |
| 20 | 84 |
About Chunmei Li
Chunmei Li is a scholar working on Biomaterials, Computational Mathematics and Aging, having authored 113 papers that have together received 7.2k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (29 papers), Electrospun Nanofibers in Biomedical Applications (13 papers) and Bone Tissue Engineering Materials (12 papers). The work is most often cited by research in Biomaterials (4.5k citations), Surfaces, Coatings and Films (629 citations) and Biomedical Engineering (3.1k citations). Chunmei Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include David L. Kaplan, Hyoung‐Joon Jin, Hyeon Joo Kim, Shengjie Ling, Chengchen Guo, Wenwen Huang, Fiorenzo G. Omenetto, Regina Valluzzi, Jae Hyung Park and Markus J. Buehler. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.
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.