Michelle E. Scarritt
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Surgery top 10%
- Tissue Engineering and Regenerative Medicine
Papers in
- Surgery 10
- Tissue Engineering and Regenerative Medicine 10
- Xenotransplantation and immune response 2
- Reconstructive Surgery and Microvascular Techniques 2
- Breast Implant and Reconstruction 2
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- Electrospun Nanofibers in Biomedical Applications 6
- Co-authors
- Luai Huleihel (5 shared papers)Stephen F. Badylak (5 shared papers)Jenna L. Dziki (3 shared papers)Tatiana Vorobyov (2 shared papers)Samuel T. LoPresti (2 shared papers)Bryan N. Brown (2 shared papers)Joseph Bartolacci (2 shared papers)Bruce A. Bunnell (6 shared papers)
- Journals
- Tissue Engineering Part A (3 papers)Journal of Visualized Experiments (2 papers)Molecular Therapy (1 paper)Current Pathobiology Reports (1 paper)Seminars in Immunology (1 paper)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Michelle E. Scarritt
11 papers receiving 483 citations
Peers
Comparison fields: 5 of 51
- Biomaterials 252
- Surgery 346
- Genetics 56
- Rehabilitation 32
- Biomedical Engineering 157
Countries citing papers authored by Michelle E. Scarritt
This map shows the geographic impact of Michelle E. Scarritt'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 Michelle E. Scarritt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle E. Scarritt more than expected).
Fields of papers citing papers by Michelle E. Scarritt
This network shows the impact of papers produced by Michelle E. Scarritt. 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 Michelle E. Scarritt. The network helps show where Michelle E. Scarritt may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle E. Scarritt, 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 | 2017 | 139 | |
| 2 | 2017 | 104 | |
| 3 | 2017 | 88 | |
| 4 | 2013 | 36 | |
| 5 | 2016 | 33 | |
| 6 | 2013 | 26 | |
| 7 | 2017 | 24 | |
| 8 | 2013 | 17 | |
| 9 | 2016 | 11 | |
| 10 | 2017 | 6 | |
| 11 | 2015 | 2 |
About Michelle E. Scarritt
Michelle E. Scarritt is a scholar working on Surgery, Biomaterials, Biomedical Engineering, Molecular Biology and Genetics, having authored 11 papers that have together received 486 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (10 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Xenotransplantation and immune response (2 papers), Reconstructive Surgery and Microvascular Techniques (2 papers), 3D Printing in Biomedical Research (2 papers), Breast Implant and Reconstruction (2 papers), MicroRNA in disease regulation (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Biomaterials (252 citations), Surgery (346 citations), Genetics (56 citations), Rehabilitation (32 citations) and Biomedical Engineering (157 citations). Michelle E. Scarritt has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Luai Huleihel, Stephen F. Badylak, Jenna L. Dziki, Tatiana Vorobyov, Samuel T. LoPresti, Bryan N. Brown, Joseph Bartolacci, Bruce A. Bunnell, Nicholas C. Pashos and Madeline C. Cramer. Their work appears in journals such as Tissue Engineering Part A, Journal of Visualized Experiments, Molecular Therapy, Current Pathobiology Reports and Seminars in Immunology.
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.