Lisa D. Cabrita
- Molecular Biology top 5%
- Materials Chemistry
- Genetics top 10%
- Cancer Research top 10%
- Cell Biology top 5%
- Co-authors
- John ChristodoulouStephen BottomleyChristopher M. DobsonChristopher A. WaudbyWeiwen DaiShang‐Te Danny HsuHélène LaunayAnaïs M. E. Cassaignau
- Topics
- RNA and protein synthesis mechanisms (27 papers)RNA modifications and cancer (17 papers)Protein Structure and Dynamics (16 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United KingdomAustraliaItaly
In The Last Decade
Lisa D. Cabrita
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.6k
- Materials Chemistry 325
- Genetics 285
- Cancer Research 247
- Cell Biology 220
Countries citing papers authored by Lisa D. Cabrita
This map shows the geographic impact of Lisa D. Cabrita'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 Lisa D. Cabrita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa D. Cabrita more than expected).
Fields of papers citing papers by Lisa D. Cabrita
This network shows the impact of papers produced by Lisa D. Cabrita. 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 Lisa D. Cabrita. The network helps show where Lisa D. Cabrita may publish in the future.
Co-authorship network of co-authors of Lisa D. Cabrita
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa D. Cabrita. A scholar is included among the top collaborators of Lisa D. Cabrita 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 Lisa D. Cabrita. Lisa D. Cabrita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 4 | |
| 3 | 22 | |
| 4 | 21 | |
| 5 | 27 | |
| 6 | 18 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 36 | |
| 10 | 131 | |
| 11 | 63 | |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | Probing protein folding on the Ribosome by Solution State NMR Spectroscopy | 1 |
| 16 | 15 | |
| 17 | 99 | |
| 18 | 62 | |
| 19 | 35 | |
| 20 | 16 |
About Lisa D. Cabrita
Lisa D. Cabrita is a scholar working on Structural Biology, Molecular Biology and Cancer Research, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (27 papers), RNA modifications and cancer (17 papers) and Protein Structure and Dynamics (16 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cancer Research (247 citations) and Cell Biology (220 citations). Lisa D. Cabrita has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include John Christodoulou, Stephen Bottomley, Christopher M. Dobson, Christopher A. Waudby, Weiwen Dai, Shang‐Te Danny Hsu, Hélène Launay, Anaïs M. E. Cassaignau, Michele Vendruscolo and Andres Ramos. Their work appears in journals such as Nature, 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.