M. Parillo

1.4k total citations
27 papers, 1.1k citations indexed

About

M. Parillo is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, M. Parillo has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 11 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in M. Parillo's work include Diet and metabolism studies (12 papers), Nutritional Studies and Diet (9 papers) and Metabolism, Diabetes, and Cancer (8 papers). M. Parillo is often cited by papers focused on Diet and metabolism studies (12 papers), Nutritional Studies and Diet (9 papers) and Metabolism, Diabetes, and Cancer (8 papers). M. Parillo collaborates with scholars based in Italy, France and United States. M. Parillo's co-authors include Gabriele Riccardi, Angela A. Rivellese, Antonia Giacco, Rosalba Giacco, Anna Vittoria Ciardullo, Brunella Capaldo, Salvatore Genovese, Arcangelo Iannuzzi, Maria Rosaria Licenziati and D. Pacioni and has published in prestigious journals such as American Journal of Clinical Nutrition, Diabetes Care and Annals of the New York Academy of Sciences.

In The Last Decade

M. Parillo

26 papers receiving 996 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. Parillo Italy 16 555 407 324 318 155 27 1.1k
Antonia Giacco Italy 17 605 1.1× 405 1.0× 354 1.1× 301 0.9× 125 0.8× 44 1.2k
Birthe M. Rasmussen Denmark 9 527 0.9× 346 0.9× 423 1.3× 365 1.1× 122 0.8× 9 1.1k
Gassan Darwiche Sweden 15 297 0.5× 310 0.8× 238 0.7× 163 0.5× 145 0.9× 20 913
J. Boillot France 16 463 0.8× 371 0.9× 389 1.2× 172 0.5× 156 1.0× 31 985
Joanna McMillan-Price Australia 7 677 1.2× 360 0.9× 451 1.4× 592 1.9× 54 0.3× 8 1.2k
Robert H. Lerman United States 22 333 0.6× 309 0.8× 257 0.8× 227 0.7× 228 1.5× 48 1.3k
Pauline Koh-Banerjee United States 9 656 1.2× 259 0.6× 520 1.6× 774 2.4× 66 0.4× 9 1.4k
Michael R. Lyon Canada 20 373 0.7× 142 0.3× 250 0.8× 201 0.6× 91 0.6× 34 890
Somaye Fatahi Iran 22 491 0.9× 281 0.7× 198 0.6× 319 1.0× 112 0.7× 84 1.3k
TM Wolever Canada 14 738 1.3× 494 1.2× 1.0k 3.2× 437 1.4× 130 0.8× 15 1.9k

Countries citing papers authored by M. Parillo

Since Specialization
Citations

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

Fields of papers citing papers by M. Parillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Parillo. A scholar is included among the top collaborators of M. Parillo 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. Parillo. M. Parillo 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.
Chiriacò, Martina, Claudio Tubili, Simona Bo, et al.. (2023). Critical evaluation of the questionnaires assessing adherence to the Mediterranean diet that are based on servings. Nutrition Metabolism and Cardiovascular Diseases. 33(4). 724–736. 13 indexed citations
2.
3.
Parillo, M., Giovanni Annuzzi, Angela A. Rivellese, et al.. (2010). Effects of meals with different glycaemic index on postprandial blood glucose response in patients with Type 1 diabetes treated with continuous subcutaneous insulin infusion. Diabetic Medicine. 28(2). 227–229. 44 indexed citations
4.
Iannuzzi, Arcangelo, Maria Rosaria Licenziati, Donata De Marco, et al.. (2009). Comparison of two diets of varying glycemic index on carotid subclinical atherosclerosis in obese children. Heart and Vessels. 24(6). 419–424. 48 indexed citations
5.
Mannarino, Elmo, Matteo Pirro, Claudio Cortese, et al.. (2008). Effects of a phytosterol-enriched dairy product on lipids, sterols and 8-isoprostane in hypercholesterolemic patients: A multicenter Italian study. Nutrition Metabolism and Cardiovascular Diseases. 19(2). 84–90. 62 indexed citations
6.
Fatati, Giuseppe, et al.. (2007). Insulin glargine in patients with severe hepato-gastroenterology diseases and hyperglycemia receiving parenteral nutrition.. PubMed. 157(6). 511–5. 2 indexed citations
7.
Parillo, M. & Gabriele Riccardi. (2004). Diet composition and the risk of type 2 diabetes: epidemiological and clinical evidence. British Journal Of Nutrition. 92(1). 7–19. 131 indexed citations
8.
Riccardi, Gabriele, Rosalba Giacco, & M. Parillo. (2003). Lifestyle modification to prevent type 2 diabetes. International Congress Series. 1253. 231–236. 1 indexed citations
9.
Manzella, Daniela, et al.. (2002). Soluble leptin receptor and insulin resistance as determinant of sleep apnea. International Journal of Obesity. 26(3). 370–375. 60 indexed citations
10.
Parillo, M., et al.. (2001). Monitoring of cardiovascular risk factors in the diabetic clinics of an Italian region: the MOFRAD study.. PubMed. 14(4). 212–6.
11.
12.
Riccardi, Giovanna, Rosalba Giacco, M. Parillo, et al.. (1999). Efficacy and safety of acarbose in the treatment of Type 1 diabetes mellitus: a placebo‐controlled,double‐blind, multicentre study. Diabetic Medicine. 16(3). 228–232. 37 indexed citations
13.
Parillo, M. & G. Riccardi. (1995). Dietary carbohydrates and glucose metabolism in diabetic patients.. PubMed. 21(6). 391–401. 7 indexed citations
14.
Riccardi, Gabriele & M. Parillo. (1993). Comparison of the Metabolic Effects of Fat‐Modified vs Low Fat Diets. Annals of the New York Academy of Sciences. 683(1). 192–198. 11 indexed citations
15.
Parillo, M., Angela A. Rivellese, Anna Vittoria Ciardullo, et al.. (1992). A high-monounsaturated-fat/low-carbohydrate diet improves peripheral insulin sensitivity in non-insulin-dependent diabetic patients. Metabolism. 41(12). 1373–1378. 164 indexed citations
16.
Parillo, M., et al.. (1992). Prevention of Early-Morning Hyperglycemia in IDDM Patients With Long-Acting Zinc Insulin. Diabetes Care. 15(2). 173–177. 6 indexed citations
17.
Mancini, Mario & M. Parillo. (1991). Lipid Intake and Atherosclerosis. Annals of Nutrition and Metabolism. 35(1). 103–108. 17 indexed citations
18.
Mancini, Mario, M. Parillo, Angela A. Rivellese, & Gabriele Riccardi. (1989). Nutrition and cardiovascular risk: the Mediterranean experience.. PubMed. 44(6). 466–7. 2 indexed citations
19.
Parillo, M., Ann M. Coulston, C.B. Hollenbeck, & Gerald M. Reaven. (1988). Effect of a low fat diet on carbohydrate metabolism in patients with hypertension.. Hypertension. 11(3). 244–248. 17 indexed citations
20.
Parillo, M., Gabriele Riccardi, D. Pacioni, et al.. (1988). Metabolic consequences of feeding a high-carbohydrate, high-fiber diet to diabetic patients with chronic kidney failure. American Journal of Clinical Nutrition. 48(2). 255–259. 22 indexed citations

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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