Paula J. Booth
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 1%
- Spectroscopy top 1%
- Biomaterials top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Co-authors
- Paul CurnowAnnela M. SeddonRichard H. TemplerHeather E. FindlayA. Rachael CurranNatalie Di BartoloCarol V. RobinsonNelson P. Barrera
- Topics
- Lipid Membrane Structure and Behavior (68 papers)Photoreceptor and optogenetics research (36 papers)Protein Structure and Dynamics (32 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Paula J. Booth
117 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 5.0k
- Cellular and Molecular Neuroscience 1.1k
- Spectroscopy 800
- Biomaterials 654
- Atomic and Molecular Physics, and Optics 609
Countries citing papers authored by Paula J. Booth
This map shows the geographic impact of Paula J. Booth'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 Paula J. Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula J. Booth more than expected).
Fields of papers citing papers by Paula J. Booth
This network shows the impact of papers produced by Paula J. Booth. 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 Paula J. Booth. The network helps show where Paula J. Booth may publish in the future.
Co-authorship network of co-authors of Paula J. Booth
This figure shows the co-authorship network connecting the top 25 collaborators of Paula J. Booth. A scholar is included among the top collaborators of Paula J. Booth 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 Paula J. Booth. Paula J. Booth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 60 | |
| 6 | 16 | |
| 7 | 35 | |
| 8 | 44 | |
| 9 | 44 | |
| 10 | 24 | |
| 11 | 48 | |
| 12 | 71 | |
| 13 | 307 | |
| 14 | 21 | |
| 15 | Membrane proteins, lipids and detergents: not just a soap operabreakdown → | 1024 |
| 16 | 48 | |
| 17 | 96 | |
| 18 | 37 | |
| 19 | 85 | |
| 20 | 31 |
About Paula J. Booth
Paula J. Booth is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physical and Theoretical Chemistry, having authored 118 papers that have together received 6.2k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (68 papers), Photoreceptor and optogenetics research (36 papers) and Protein Structure and Dynamics (32 papers). The work is most often cited by research in Molecular Biology (5.0k citations), Cellular and Molecular Neuroscience (1.1k citations) and Biomaterials (654 citations). Paula J. Booth has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Paul Curnow, Annela M. Seddon, Richard H. Templer, Heather E. Findlay, A. Rachael Curran, Natalie Di Bartolo, Carol V. Robinson, Nelson P. Barrera, Nicola J. Harris and Sabine L. Flitsch. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.