G Capretti

23 papers receiving 609 citations

Peers

G Capretti
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 187
  • Endocrinology, Diabetes and Metabolism 78
  • Geriatrics and Gerontology 15
  • Molecular Biology 234
  • Internal Medicine 9
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Wanting Shi China
Lorenzo Castello Italy
Abdullah Kaplan Lebanon
Wataru Ohwada Japan
Atai Watanabe Japan
Yutaka Kakizoe Japan
Gourg Atteya United States
Sophie‐Élise Michaud Canada
Rodolfo Battista Italy
Darnel Prakoso Australia
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Citations per year

Countries citing papers authored by G Capretti

Since Specialization
Citations

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

Fields of papers citing papers by G Capretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014152
2 2017152
3 201485
4 201980
5 201761
6 200920
7 201812
8 201710
9 20179
10 20177
11 20096
12 20194
13 20093
14 20183
15
[Controlled clinical study of the analgesic activity of a new drug (Z. 424) in pain caused by neoplasms].
19703
16
EFFECTS OF INFUSIONS OR DECOCTIONS OF OLIVE LEAVES (O. EUROPAEA) ON SOME PHYSICAL CONSTANTS OF BLOOD AND COMPONENTS OF METABOLISM
19993
17 20172
18
[Tako-tsubo cardiomyopathy complicated by left apical thrombus].
20082
19 20131
20 20131

About G Capretti

G Capretti is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 24 papers that have together received 619 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (6 papers), Coronary Interventions and Diagnostics (3 papers), Adipose Tissue and Metabolism (2 papers), Aortic aneurysm repair treatments (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Signaling Pathways in Disease (2 papers), Coronary Artery Anomalies (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (187 citations), Endocrinology, Diabetes and Metabolism (78 citations), Geriatrics and Gerontology (15 citations), Molecular Biology (234 citations) and Internal Medicine (9 citations). G Capretti has collaborated with scholars based in Italy, Switzerland and Sweden. Frequent co-authors include Francesco Cosentino, Thomas F. Lüscher, Francesco Paneni, Massimo Volpe, Sergio Chiandotto, Sarah Costantino, Rodolfo Battista, Dario Pitocco, Gaetano Antonio Lanza and Lorenzo Castello. Their work appears in journals such as European Heart Journal, EuroIntervention, Catheterization and Cardiovascular Interventions, JACC: Cardiovascular Interventions and Circulation Cardiovascular Genetics.

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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