G Curatola
- Molecular Biology top 10%
- Clinical Biochemistry top 0.5%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Co-authors
- Gianna FerrettiTiziana BacchettiN. DoussetEnrico BertoliGiorgio LenazLaura MazzantiRosamaria FioriniR. A. Rabini
- Topics
- Lipid Membrane Structure and Behavior (47 papers)Erythrocyte Function and Pathophysiology (17 papers)Protein Interaction Studies and Fluorescence Analysis (17 papers)
- Cited by
- Clinical BiochemistryBiochemistry
- Journals
- Proceedings of the National Academy of SciencesBloodThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ItalyFranceUnited States
In The Last Decade
G Curatola
113 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.1k
- Clinical Biochemistry 485
- Physiology 425
- Endocrinology, Diabetes and Metabolism 386
- Surgery 343
Countries citing papers authored by G Curatola
This map shows the geographic impact of G Curatola'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 G Curatola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Curatola more than expected).
Fields of papers citing papers by G Curatola
This network shows the impact of papers produced by G Curatola. 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 G Curatola. The network helps show where G Curatola may publish in the future.
Co-authorship network of co-authors of G Curatola
This figure shows the co-authorship network connecting the top 25 collaborators of G Curatola. A scholar is included among the top collaborators of G Curatola 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 G Curatola. G Curatola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 133 | |
| 2 | 18 | |
| 3 | 33 | |
| 4 | 38 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 39 | |
| 8 | 10 | |
| 9 | 71 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 11 | |
| 13 | 21 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 27 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | A conformational model for the action of general anesthetics at the membrane level. II. Experimental observations on the effects of anesthetics on lipid fluidity and lipid protein interactions. | 7 |
| 20 | A conformational model for the action of general anesthetics at the membrane level. I. Theoretical considerations. | 4 |
About G Curatola
G Curatola is a scholar working on Biochemistry, Clinical Biochemistry and Physiology, having authored 115 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (47 papers), Erythrocyte Function and Pathophysiology (17 papers) and Protein Interaction Studies and Fluorescence Analysis (17 papers). The work is most often cited by research in Clinical Biochemistry (485 citations), Biochemistry (220 citations) and Biochemistry (229 citations). G Curatola has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Gianna Ferretti, Tiziana Bacchetti, N. Dousset, Enrico Bertoli, Giorgio Lenaz, Laura Mazzanti, Rosamaria Fiorini, R. A. Rabini, Laura Mazzanti and Robert Salvayre. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Clinical Endocrinology & Metabolism.
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.