M. Carantoni

1.3k total citations
22 papers, 997 citations indexed

About

M. Carantoni is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems. According to data from OpenAlex, M. Carantoni has authored 22 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 8 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Endocrine and Autonomic Systems. Recurrent topics in M. Carantoni's work include Regulation of Appetite and Obesity (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). M. Carantoni is often cited by papers focused on Regulation of Appetite and Obesity (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). M. Carantoni collaborates with scholars based in United States and Italy. M. Carantoni's co-authors include Gerald M. Reaven, Fahim Abbasi, Kenneth S. Polonsky, Clare Jones, Patricia Schaaf, Francesco Facchini, Jørgen Jeppesen, Tracey McLaughlin, R. Fellin and Salman Azhar and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.

In The Last Decade

M. Carantoni

22 papers receiving 939 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Carantoni United States 15 497 307 289 238 151 22 997
Walkyria de Paula Pimenta Brazil 9 691 1.4× 226 0.7× 279 1.0× 357 1.5× 282 1.9× 15 1.3k
Patricia Schaaf United States 11 472 0.9× 314 1.0× 491 1.7× 183 0.8× 100 0.7× 13 995
Rika Araki-Sasaki Japan 11 286 0.6× 220 0.7× 253 0.9× 180 0.8× 97 0.6× 11 788
Myron L shank United States 9 384 0.8× 226 0.7× 633 2.2× 322 1.4× 158 1.0× 10 1.1k
Angela Doering Germany 17 503 1.0× 183 0.6× 267 0.9× 253 1.1× 101 0.7× 25 1.4k
K G Alberti United Kingdom 15 932 1.9× 213 0.7× 431 1.5× 267 1.1× 241 1.6× 19 1.5k
C. L. McTernan United Kingdom 9 270 0.5× 538 1.8× 429 1.5× 166 0.7× 105 0.7× 12 1.1k
Beata Telejko Poland 19 239 0.5× 254 0.8× 222 0.8× 117 0.5× 149 1.0× 59 1.2k
Gaetano Leto Italy 18 310 0.6× 157 0.5× 216 0.7× 249 1.0× 154 1.0× 35 1.1k
Seng Khee Gan Australia 18 248 0.5× 284 0.9× 414 1.4× 241 1.0× 154 1.0× 34 1.1k

Countries citing papers authored by M. Carantoni

Since Specialization
Citations

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

Fields of papers citing papers by M. Carantoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Carantoni

This figure shows the co-authorship network connecting the top 25 collaborators of M. Carantoni. A scholar is included among the top collaborators of M. Carantoni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Carantoni. M. Carantoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Abbasi, Fahim, et al.. (2000). Plasma insulin concentration is more tightly linked to plasma leptin concentration than is the body mass index. Metabolism. 49(4). 544–547. 17 indexed citations
3.
Carantoni, M., et al.. (2000). Alzheimer Disease and Vascular Dementia: Relationships with Fasting Glucose and Insulin Levels. Dementia and Geriatric Cognitive Disorders. 11(3). 176–180. 37 indexed citations
4.
Zavaroni, Ivana, et al.. (2000). Comparison of fasting plasma leptin concentrations in healthy subjects with high and low plasma insulin. Metabolism. 49(4). 499–502. 5 indexed citations
5.
Carantoni, M., Fahim Abbasi, Salman Azhar, Patricia Schaaf, & G. M. Reaven. (1999). Can Changes in Plasma Insulin Concentration Explain the Variability in Leptin Response to Weight Loss in Obese Women with Normal Glucose Tolerance?1. The Journal of Clinical Endocrinology & Metabolism. 84(3). 869–872. 25 indexed citations
6.
McLaughlin, Tracey, Fahim Abbasi, M. Carantoni, Patricia Schaaf, & Gerald M. Reaven. (1999). Differences in Insulin Resistance Do Not Predict Weight Loss in Response to Hypocaloric Diets in Healthy Obese Women1. The Journal of Clinical Endocrinology & Metabolism. 84(2). 578–581. 66 indexed citations
7.
Passaro, Angelina, F. Calzoni, M. Carantoni, et al.. (1999). MTHFR mutation and subclinical carotid impairment in aging non diabetic women.. Diabetologia. 42. 329–329. 8 indexed citations
8.
Carantoni, M., et al.. (1999). Alzheimer disease and vascular dementia: Relationships with fasting glucose and insulin levels. Atherosclerosis. 144. 73–73. 4 indexed citations
9.
Carantoni, M., G. Zuliani, Giovanni Bader, et al.. (1999). Low density lipoprotein cholesterol, lipoprotein(a), and apo(a) isoforms in the elderly: relationship to fasting insulin. Associazione Medica Sabin.. PubMed. 9(5). 228–33. 2 indexed citations
10.
Vergnani, Luciana, G. Zuliani, Franco Ricci, et al.. (1998). Fibrinolytic and Coagulation Factors in Very Old Subjects: Association With Lipoprotein Profile and Anthropometric Variables. The Journals of Gerontology Series A. 53A(1). M8–M13. 2 indexed citations
11.
Carantoni, M., Angelo Avogaro, Antonio Tiengo, & R. Fellin. (1998). Extreme but asymptomatic hypergastrinemia with gastroparesis in a young woman with insulin dependent diabetes mellitus. Journal of Endocrinological Investigation. 21(5). 323–328. 1 indexed citations
12.
Facchini, Francesco, M. Carantoni, Jørgen Jeppesen, & Gerald M. Reaven. (1998). Hematocrit and hemoglobin are independently related to insulin resistance and compensatory hyperinsulinemia in healthy, non-obese men and women. Metabolism. 47(7). 831–835. 71 indexed citations
13.
Carantoni, M., Fahim Abbasi, Fabienne Warmerdam, et al.. (1998). Relationship Between Insulin Resistance and Partially Oxidized LDL Particles in Healthy, Nondiabetic Volunteers. Arteriosclerosis Thrombosis and Vascular Biology. 18(5). 762–767. 55 indexed citations
14.
Carantoni, M., Giovanni Zuliani, Stefano Volpato, et al.. (1998). Relationships between fasting plasma insulin, anthropometrics, and metabolic parameters in a very old healthy population. Metabolism. 47(5). 535–540. 18 indexed citations
15.
Abbasi, Fahim, et al.. (1998). Further Evidence for a Central Role of Adipose Tissue in the Antihyperglycemic Effect of Metformin. Diabetes Care. 21(8). 1301–1305. 55 indexed citations
16.
17.
Wang, Pei-Wen, Fahim Abbasi, M. Carantoni, et al.. (1997). Insulin Resistance Does Not Change the Ratio of Proinsulin to Insulin in Normal Volunteers1. The Journal of Clinical Endocrinology & Metabolism. 82(10). 3221–3224. 26 indexed citations
18.
Carantoni, M., et al.. (1997). [Low levels of HDL cholesterol in hypothyroid patients with cardiovascular diseases].. PubMed. 22(4). 91–7. 8 indexed citations
19.
Carantoni, M., Fahim Abbasi, Larry F. Chu, et al.. (1997). Adherence of Mononuclear Cells to Endothelium In Vitro Is Increased in Patients With NIDDM. Diabetes Care. 20(9). 1462–1465. 42 indexed citations
20.

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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