Cait E. MacPhee
- Biomaterials top 0.5%
- Supramolecular Self-Assembly in Materials 22
- Physiology top 1%
- Alzheimer's disease research and treatments 20
- Molecular Biology top 1%
- Protein Structure and Dynamics 36
- Bacterial biofilms and quorum sensing 21
- Spectroscopy top 0.5%
- Mass Spectrometry Techniques and Applications 11
- Advanced Proteomics Techniques and Applications 9
- Food Science top 1%
- Proteins in Food Systems 9
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- Bacteriophages and microbial interactions 9
- Co-authors
- Christopher M. DobsonNicola R. Stanley‐WallRobert G. GriffinTuomas P. J. KnowlesChristopher P. JaroniecLaura HobleyMark E. WellandJ. F. Smith
- Journals
- Proceedings of the National Academy of Sciences (10 papers)Journal of the American Chemical Society (7 papers)Biophysical Journal (7 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Cait E. MacPhee
95 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Biomaterials 1.7k
- Physiology 2.0k
- Molecular Biology 4.6k
- Spectroscopy 1.1k
- Food Science 630
Countries citing papers authored by Cait E. MacPhee
This map shows the geographic impact of Cait E. MacPhee'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 Cait E. MacPhee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cait E. MacPhee more than expected).
Fields of papers citing papers by Cait E. MacPhee
This network shows the impact of papers produced by Cait E. MacPhee. 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 Cait E. MacPhee. The network helps show where Cait E. MacPhee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cait E. MacPhee, 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 | 2024 | 3 | |
| 2 | 2024 | 9 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 32 | |
| 8 | 2021 | 8 | |
| 9 | 2019 | 49 | |
| 10 | 2018 | 35 | |
| 11 | 2017 | 55 | |
| 12 | 2017 | 10 | |
| 13 | 2017 | 2 | |
| 14 | 2016 | 57 | |
| 15 | 2016 | 15 | |
| 16 | 2014 | 35 | |
| 17 | 2013 | 232 | |
| 18 | 2002 | 214 | |
| 19 | 2000 | 163 | |
| 20 | 1998 | 67 |
About Cait E. MacPhee
Cait E. MacPhee is a scholar working on Biomaterials, Spectroscopy and Molecular Biology, having authored 97 papers that have together received 7.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (36 papers), Supramolecular Self-Assembly in Materials (22 papers), Bacterial biofilms and quorum sensing (21 papers), Alzheimer's disease research and treatments (20 papers), Mass Spectrometry Techniques and Applications (11 papers), Proteins in Food Systems (9 papers), Bacteriophages and microbial interactions (9 papers) and Advanced Proteomics Techniques and Applications (9 papers). The work is most often cited by research in Biomaterials (1.7k citations), Physiology (2.0k citations) and Molecular Biology (4.6k citations). Cait E. MacPhee has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Christopher M. Dobson, Nicola R. Stanley‐Wall, Robert G. Griffin, Tuomas P. J. Knowles, Christopher P. Jaroniec, Laura Hobley, Mark E. Welland, J. F. Smith, Catriona P. Harkins and Glyn L. Devlin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Biophysical Journal, Biochemistry and Journal of Molecular Biology.
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.