Matthew R. MacEwan
- Biomedical Engineering top 1%
- Biomaterials top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Surgery top 2%
- Polymers and Plastics top 2%
- Co-authors
- Jingwei XieYounan XiaWilson Z. RayShelly E. Sakiyama‐ElbertXiaoran LiWenying LiuStephanie M. WillerthAndrea G. Schwartz
- Topics
- Electrospun Nanofibers in Biomedical Applications (22 papers)Nerve injury and regeneration (20 papers)Neuroscience and Neural Engineering (19 papers)
- Journals
- Nature CommunicationsThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Matthew R. MacEwan
65 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 125
- Biomedical Engineering 2.3k
- Biomaterials 1.9k
- Cellular and Molecular Neuroscience 1.5k
- Surgery 1.2k
- Polymers and Plastics 526
Countries citing papers authored by Matthew R. MacEwan
This map shows the geographic impact of Matthew R. MacEwan'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 Matthew R. MacEwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. MacEwan more than expected).
Fields of papers citing papers by Matthew R. MacEwan
This network shows the impact of papers produced by Matthew R. MacEwan. 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 Matthew R. MacEwan. The network helps show where Matthew R. MacEwan may publish in the future.
Co-authorship network of co-authors of Matthew R. MacEwan
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. MacEwan. A scholar is included among the top collaborators of Matthew R. MacEwan 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 Matthew R. MacEwan. Matthew R. MacEwan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 63 | |
| 4 | 36 | |
| 5 | 57 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 187 | |
| 9 | 6 | |
| 10 | 39 | |
| 11 | 16 | |
| 12 | 59 | |
| 13 | 119 | |
| 14 | 58 | |
| 15 | 181 | |
| 16 | 34 | |
| 17 | 71 | |
| 18 | 37 | |
| 19 | 285 | |
| 20 | 339 |
About Matthew R. MacEwan
Matthew R. MacEwan is a scholar working on Cellular and Molecular Neuroscience, Biomaterials and Developmental Neuroscience, having authored 69 papers that have together received 4.3k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (22 papers), Nerve injury and regeneration (20 papers) and Neuroscience and Neural Engineering (19 papers). The work is most often cited by research in Biomaterials (1.9k citations), Cellular and Molecular Neuroscience (1.5k citations) and Biomedical Engineering (2.3k citations). Matthew R. MacEwan has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jingwei Xie, Younan Xia, Wilson Z. Ray, Shelly E. Sakiyama‐Elbert, Xiaoran Li, Wenying Liu, Stephanie M. Willerth, Andrea G. Schwartz, Daniel A. Hunter and Ying Yan. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.