G. Cavera

19 papers receiving 438 citations

Peers

G. Cavera
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 129
  • Cardiology and Cardiovascular Medicine 117
  • Transplantation 13
  • Physiology 103
  • Genetics 97
Replace Daniela Liccardo with:
Daniela Liccardo Italy
Claudia Della Corte Italy
Eunice Xiang Xuan Tan Singapore
Gerald Klose Germany
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Citations per field
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Citations per year

Countries citing papers authored by G. Cavera

Since Specialization
Citations

This map shows the geographic impact of G. Cavera'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. Cavera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Cavera more than expected).

Fields of papers citing papers by G. Cavera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Cavera. 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. Cavera. The network helps show where G. Cavera may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Cavera, 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. Cavera Line = papers co-authored together G. Cavera links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 199897
2 200150
3 200743
4 201342
5 200541
6 199931
7 200225
8 200223
9 199721
10 199919
11 199819
12
Riskard 2005. New tools for prediction of cardiovascular disease risk derived from Italian population studies. Nutr Metab Cardiovasc Dis. 2005 Dec;15(6):426-40. Epub 2005 Nov 16
200511
13 199210
14 20089
15 20119
16 20165
17
Apo-lipoprotein profile in subjects with extracranial carotid atherosclerosis.
19944
18 20132
19
Lipoprotein(A) levels and apoprotein(a) phenotypes in a Sicilian population.
19992

About G. Cavera

G. Cavera is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Rheumatology, Public Health, Environmental and Occupational Health and Surgery, having authored 19 papers that have together received 463 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Nutritional Studies and Diet (4 papers), Cancer, Lipids, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Heart Failure Treatment and Management (2 papers), Birth, Development, and Health (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (129 citations), Cardiology and Cardiovascular Medicine (117 citations), Transplantation (13 citations), Physiology (103 citations) and Genetics (97 citations). G. Cavera has collaborated with scholars based in Italy and United States. Frequent co-authors include Maurizio Averna, A Notarbartoló, Giuseppe Montalto, Davide Noto, Carlo M. Barbagallo, Antonio Carroccio, Angelo B. Cefalù, Michele Pagano, Rosalia Caldarella and Valentina Cannone. Their work appears in journals such as Nutrition Metabolism and Cardiovascular Diseases, Journal of the American College of Nutrition, Gerontology, Atherosclerosis and Thrombosis and Haemostasis.

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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