G Curatola

3.2k citations
115 papers · 2.6k indexed · h-index 28

G Curatola

113 papers receiving 2.5k citations

Peers

G Curatola
Comparison fields: 5 of 125
  • Clinical Biochemistry 485
  • Biochemistry 220
  • Biochemistry 229
  • Endocrinology, Diabetes and Metabolism 386
  • Physiology 425
Replace A.E.M. McLean with:
A.E.M. McLean United Kingdom
P. Rösen Germany
Denis C. Lehotay Canada
Leonor Thomson Uruguay
Arduino Arduini Italy
Willem Kulik Netherlands
George I. Henderson United States
Peter Brecher United States
J.F. Koster Netherlands
Jaeman Byun United States
G Curatola relative to A.E.M. McLean United Kingdom A.E.M. McLean's profile →
Citations per field
00.5×1.5×2.3×
A.E.M. McLean · 1×
Citations per year

Countries citing papers authored by G Curatola

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside G Curatola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G Curatola Line = papers co-authored together G Curatola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2005133
2 200418
3 200433
4 200338
5 199911
6 19985
7 199739
8 199510
9 199471
10 199310
11 199315
12 199311
13 199021
14 199012
15 19907
16 198927
17 19891
18 19878
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.
19787
20
A conformational model for the action of general anesthetics at the membrane level. I. Theoretical considerations.
19784

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), Protein Interaction Studies and Fluorescence Analysis (17 papers), Antioxidant Activity and Oxidative Stress (13 papers), Mitochondrial Function and Pathology (10 papers), ATP Synthase and ATPases Research (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Blood properties and coagulation (6 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.

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