Mitchell Boyd‐Moss
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Silk-based biomaterials and applications
Papers in
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- 3D Printing in Biomedical Research 8
- Innovative Microfluidic and Catalytic Techniques Innovation 3
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- Supramolecular Self-Assembly in Materials 6
- Silk-based biomaterials and applications 3
- Co-authors
- Khashayar Khoshmanesh (1 shared paper)Sara Baratchi (1 shared paper)David R. Nisbet (10 shared papers)Richard J. Williams (10 shared papers)Anita Quigley (8 shared papers)Robert M. I. Kapsa (6 shared papers)Benjamin M. Long (6 shared papers)Colin J. Barrow (3 shared papers)
- Journals
- Gels (2 papers)ACS Biomaterials Science & Engineering (1 paper)Biomedical Materials (1 paper)APL Bioengineering (1 paper)Biomacromolecules (1 paper)
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
Mitchell Boyd‐Moss
14 papers receiving 348 citations
Peers
Comparison fields: 5 of 65
- Biomaterials 122
- Molecular Medicine 25
- Biomedical Engineering 214
- Automotive Engineering 28
- Cellular and Molecular Neuroscience 22
Countries citing papers authored by Mitchell Boyd‐Moss
This map shows the geographic impact of Mitchell Boyd‐Moss'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 Mitchell Boyd‐Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Boyd‐Moss more than expected).
Fields of papers citing papers by Mitchell Boyd‐Moss
This network shows the impact of papers produced by Mitchell Boyd‐Moss. 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 Mitchell Boyd‐Moss. The network helps show where Mitchell Boyd‐Moss may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell Boyd‐Moss, 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 | 2016 | 120 | |
| 2 | 2018 | 31 | |
| 3 | 2018 | 31 | |
| 4 | 2017 | 26 | |
| 5 | 2021 | 26 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2017 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 2 |
About Mitchell Boyd‐Moss
Mitchell Boyd‐Moss is a scholar working on Biomedical Engineering, Biomaterials, Cellular and Molecular Neuroscience, Automotive Engineering and Organic Chemistry, having authored 14 papers that have together received 352 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (8 papers), Supramolecular Self-Assembly in Materials (6 papers), Neuroscience and Neural Engineering (4 papers), Silk-based biomaterials and applications (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Polydiacetylene-based materials and applications (2 papers) and Echinoderm biology and ecology (1 paper). The work is most often cited by research in Biomaterials (122 citations), Molecular Medicine (25 citations), Biomedical Engineering (214 citations), Automotive Engineering (28 citations) and Cellular and Molecular Neuroscience (22 citations). Mitchell Boyd‐Moss has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Khashayar Khoshmanesh, Sara Baratchi, David R. Nisbet, Richard J. Williams, Anita Quigley, Robert M. I. Kapsa, Benjamin M. Long, Colin J. Barrow, Rui Li and Cathal O’Connell. Their work appears in journals such as Gels, ACS Biomaterials Science & Engineering, Biomedical Materials, APL Bioengineering and Biomacromolecules.
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.