Michael Whitely
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in
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- Bone Tissue Engineering Materials 6
- 3D Printing in Biomedical Research 4
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- Pickering emulsions and particle stabilization 5
- Co-authors
- Elizabeth Cosgriff‐Hernandez (12 shared papers)Jennifer L. Robinson (6 shared papers)Prachi Dhavalikar (3 shared papers)Nicholas A. Sears (3 shared papers)Roya M. Nezarati (2 shared papers)Alysha Kishan (2 shared papers)Stacy Cereceres (4 shared papers)Hannah A. Pearce (3 shared papers)
- Journals
- Journal of Materials Chemistry B (2 papers)Biomaterials (1 paper)Acta Biomaterialia (1 paper)Annals of Biomedical Engineering (1 paper)ACS Biomaterials Science & Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Whitely
14 papers receiving 494 citations
Peers
Comparison fields: 5 of 70
- Biomaterials 180
- Molecular Medicine 50
- Biomedical Engineering 261
- Automotive Engineering 65
- Rehabilitation 35
Countries citing papers authored by Michael Whitely
This map shows the geographic impact of Michael Whitely'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 Michael Whitely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Whitely more than expected).
Fields of papers citing papers by Michael Whitely
This network shows the impact of papers produced by Michael Whitely. 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 Michael Whitely. The network helps show where Michael Whitely may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Whitely, 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 | 2015 | 73 | |
| 2 | 2017 | 65 | |
| 3 | 2018 | 62 | |
| 4 | 2014 | 52 | |
| 5 | 2015 | 44 | |
| 6 | 2019 | 41 | |
| 7 | 2014 | 39 | |
| 8 | 2016 | 35 | |
| 9 | 2017 | 32 | |
| 10 | 2019 | 28 | |
| 11 | 2019 | 12 | |
| 12 | 2021 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 5 |
About Michael Whitely
Michael Whitely is a scholar working on Biomedical Engineering, Materials Chemistry, Surgery, Molecular Biology and Biomaterials, having authored 14 papers that have together received 501 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (6 papers), Pickering emulsions and particle stabilization (5 papers), 3D Printing in Biomedical Research (4 papers), Wound Healing and Treatments (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Orthopedic Infections and Treatments (2 papers), Orthopaedic implants and arthroplasty (2 papers) and Silk-based biomaterials and applications (2 papers). The work is most often cited by research in Biomaterials (180 citations), Molecular Medicine (50 citations), Biomedical Engineering (261 citations), Automotive Engineering (65 citations) and Rehabilitation (35 citations). Michael Whitely has collaborated with scholars based in United States. Frequent co-authors include Elizabeth Cosgriff‐Hernandez, Jennifer L. Robinson, Prachi Dhavalikar, Nicholas A. Sears, Roya M. Nezarati, Alysha Kishan, Stacy Cereceres, Hannah A. Pearce, Thomas S. Wilems and Megan Brooks. Their work appears in journals such as Journal of Materials Chemistry B, Biomaterials, Acta Biomaterialia, Annals of Biomedical Engineering and ACS Biomaterials Science & Engineering.
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.