F. Vittone

855 citations
10 papers · 588 · h-index 6

Impact in

Papers in

F. Vittone

9 papers receiving 565 citations

Peers

F. Vittone
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 372
  • Cardiology and Cardiovascular Medicine 212
  • Endocrine and Autonomic Systems 22
  • Radiology, Nuclear Medicine and Imaging 72
  • Pathology and Forensic Medicine 54
Replace W Langsteger with:
W Langsteger Austria
Norihiro Kodama Japan
Yoshikazu Nitta Japan
Anna Di Martino Italy
K. Py�r�l� Finland
S. I. McFarlane United States
Kwon Sam Kim South Korea
Michael E. Cobble United States
Gary Pare United Kingdom
Yoshihiro Yanagitani Japan
F. Vittone relative to W Langsteger Austria W Langsteger's profile →
Citations per field
00.5×2.6×
W Langsteger · 1×
Citations per year

Countries citing papers authored by F. Vittone

Since Specialization
Citations

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

Fields of papers citing papers by F. Vittone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2004287
2 2003147
3 201284
4 200733
5 200520
6 200812
7 20033
8 19991
9 20181
10 20240

About F. Vittone

F. Vittone is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 588 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (4 papers), Cardiovascular Function and Risk Factors (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Thyroid Disorders and Treatments (1 paper), Peptidase Inhibition and Analysis (1 paper), Pituitary Gland Disorders and Treatments (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (372 citations), Cardiology and Cardiovascular Medicine (212 citations), Endocrine and Autonomic Systems (22 citations), Radiology, Nuclear Medicine and Imaging (72 citations) and Pathology and Forensic Medicine (54 citations). F. Vittone has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Carlo Palombo, Nadia Caraccio, S. Taddei, Angela Dardano, Agostino Virdis, Fabio Monzani, Eleuterio Ferrannini, M. Kozàkovà, Daniele Guelfi and Matilde Nardi. Their work appears in journals such as Diabetologia, Journal of Hypertension, Journal of clinical lipidology, The Journal of Clinical Endocrinology & Metabolism and Ultrasound in Medicine & Biology.

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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