A. A. Rivellese

528 total citations
8 papers, 196 citations indexed

About

A. A. Rivellese is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, A. A. Rivellese has authored 8 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in A. A. Rivellese's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diet, Metabolism, and Disease (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). A. A. Rivellese is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diet, Metabolism, and Disease (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). A. A. Rivellese collaborates with scholars based in Italy and United States. A. A. Rivellese's co-authors include Mario Mancini, Ivana Zavaroni, Franco Cavalot, Olga Vaccaro, G. Crepaldi, Mariella Trovati, Roberto Miccoli, F. Pamparana, E. Stragliotto and R. Paoletti and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

A. A. Rivellese

8 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. A. Rivellese Italy	6	112	64	43	40	37	8	196
Makoto Tsuruta Japan	8	83 0.7×	23 0.4×	132 3.1×	24 0.6×	31 0.8×	15	267
Geneviève Orssaud France	5	258 2.3×	54 0.8×	20 0.5×	20 0.5×	45 1.2×	8	355
Thea Lousen Denmark	6	145 1.3×	107 1.7×	34 0.8×	52 1.3×	117 3.2×	9	342
Lars Fog Denmark	5	47 0.4×	166 2.6×	113 2.6×	50 1.3×	45 1.2×	6	293
Christopher Retallick United Kingdom	4	44 0.4×	45 0.7×	163 3.8×	37 0.9×	28 0.8×	4	250
Daniel Panarotto Brazil	6	82 0.7×	17 0.3×	38 0.9×	29 0.7×	65 1.8×	11	205
Y. Wady Aude United States	9	68 0.6×	30 0.5×	41 1.0×	51 1.3×	102 2.8×	16	263
Aziz Al-Safi Ismail Malaysia	9	111 1.0×	27 0.4×	38 0.9×	26 0.7×	47 1.3×	20	260
Kathleen M. Stevenson Australia	11	53 0.5×	22 0.3×	116 2.7×	22 0.6×	29 0.8×	13	323
Maria Angeli Italy	6	37 0.3×	177 2.8×	24 0.6×	56 1.4×	51 1.4×	13	259

Countries citing papers authored by A. A. Rivellese

Since Specialization

Citations

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

Fields of papers citing papers by A. A. Rivellese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. A. Rivellese

This figure shows the co-authorship network connecting the top 25 collaborators of A. A. Rivellese. A scholar is included among the top collaborators of A. A. Rivellese 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 A. A. Rivellese. A. A. Rivellese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Franzini, Laura, Diego Ardigò, Franco Cavalot, et al.. (2012). Women show worse control of type 2 diabetes and cardiovascular disease risk factors than men: Results from the MIND.IT Study Group of the Italian Society of Diabetology. Nutrition Metabolism and Cardiovascular Diseases. 23(3). 235–241. 70 indexed citations

Bozzetto, Lutgarda, Anna Prinster, Sergio Cocozza, A. A. Rivellese, & Giovanni Annuzzi. (2011). Role of type 2 diabetes mellitus in nonalcoholic fatty liver disease. European Journal of Clinical Investigation. 41(12). 1368–1368. 1 indexed citations

Rivellese, A. A.. (2000). Effect of Insulin and Sulfonylurea Therapy, at the Same Level of Blood Glucose Control, on Low Density Lipoprotein Subfractions in Type 2 Diabetic Patients. The Journal of Clinical Endocrinology & Metabolism. 85(11). 4188–4192. 12 indexed citations

Sirtori, CR, R. Paoletti, Mario Mancini, et al.. (1997). N-3 fatty acids do not lead to an increased diabetic risk in patients with hyperlipidemia and abnormal glucose tolerance. Italian Fish Oil Multicenter Study. American Journal of Clinical Nutrition. 65(6). 1874–1881. 73 indexed citations

Rivellese, A. A., et al.. (1997). Insulin and sulfonylurea therapy in NIDDM patients. Are the effects on lipoprotein metabolism different even with similar blood glucose control?. Diabetes. 46(10). 1601–1606. 13 indexed citations

Mancini, Mario, Paolo Pauciullo, Claudio Cortese, et al.. (1988). Very low density lipoprotein. Qualitative abnormalities in patients with premature coronary heart disease and in patients with insulin dependent diabetes.. PubMed. 19. 13–5. 4 indexed citations

Capaldo, Brunella, A. A. Rivellese, D Santoro, et al.. (1985). Relationship between insulin response to intravenous glucose and plasma lipoproteins in healthy men.. PubMed. 13(2). 108–26. 8 indexed citations

Melani, F., et al.. (1976). Diurnal Variation in Blood Sugar and Serum Insulin in Response to Glucose and/or Glucagon in Healthy Subjects. Hormone and Metabolic Research. 8(2). 85–88. 15 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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