Marcello Carantoni

1.3k citations
24 papers · 1.1k · h-index 16

Impact in

Papers in

Marcello Carantoni

24 papers receiving 1.0k citations

Peers

Marcello Carantoni
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 412
  • Endocrine and Autonomic Systems 90
  • Physiology 219
  • Epidemiology 236
  • Reproductive Medicine 46
Replace Beata Telejko with:
Beata Telejko Poland
W P Pimenta Brazil
Gábor Winkler Hungary
Ömür Tabak Türkiye
Lelio F. Morricone Italy
Johannes A. Romijn Netherlands
Mikael Wirén Sweden
Marina A. Michalaki Greece
Masahiko Furuta Japan
Steven M. Haffner United States
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Citations per field
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Citations per year

Countries citing papers authored by Marcello Carantoni

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Carantoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcello Carantoni, 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 Marcello Carantoni Line = papers co-authored together Marcello Carantoni 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 2000354
2 2000100
3 199877
4 199970
5 199967
6 199856
7 199856
8 199748
9 199744
10 200043
11 200038
12 199828
13 199727
14 199925
15 199820
16 200018
17 200016
18
MTHFR mutation and subclinical carotid impairment in aging non diabetic women.
199910
19
[Low levels of HDL cholesterol in hypothyroid patients with cardiovascular diseases].
19978
20 20005

About Marcello Carantoni

Marcello Carantoni is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Physiology and Epidemiology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Regulation of Appetite and Obesity (6 papers), Biochemical Analysis and Sensing Techniques (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diet and metabolism studies (3 papers), Diabetes and associated disorders (2 papers), Neurological Disorders and Treatments (2 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (412 citations), Endocrine and Autonomic Systems (90 citations), Physiology (219 citations), Epidemiology (236 citations) and Reproductive Medicine (46 citations). Marcello Carantoni has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Gerald M. Reaven, Fahim Abbasi, Clare N. O. Jones, Kenneth S. Polonsky, Francesco Facchini, Jørgen Jeppesen, Patricia Schaaf, R. Fellin, Yii-Der Ida Chen and Salman Azhar. Their work appears in journals such as Diabetes Care, Metabolism, The Journal of Clinical Endocrinology & Metabolism, Diabetologia and Atherosclerosis.

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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