A. A. Rivellese

528 citations
8 papers · 196 · h-index 6

Impact in

Papers in

A. A. Rivellese

8 papers receiving 191 citations

Peers

A. A. Rivellese
Comparison fields: 5 of 45
  • Endocrinology, Diabetes and Metabolism 112
  • Nutrition and Dietetics 64
  • Biochemistry 18
  • Endocrine and Autonomic Systems 13
  • Cardiology and Cardiovascular Medicine 43
Replace Makoto Tsuruta with:
Makoto Tsuruta Japan
Geneviève Orssaud France
Ajuah Davis United States
Y. Wady Aude United States
Christopher Retallick United Kingdom
Kathleen M. Stevenson Australia
E Moro Italy
Thea Lousen Denmark
Lars Fog Denmark
Francesca Maiani Italy
A. A. Rivellese relative to Makoto Tsuruta Japan Makoto Tsuruta's profile →
Citations per field
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Citations per year

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-authors

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

All Works

8 of 8 papers shown
#Work
1 199773
2 201270
3 197615
4 199713
5 200012
6
Relationship between insulin response to intravenous glucose and plasma lipoproteins in healthy men.
19858
7
Very low density lipoprotein. Qualitative abnormalities in patients with premature coronary heart disease and in patients with insulin dependent diabetes.
19884
8 20111

About A. A. Rivellese

A. A. Rivellese is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Physiology and Cancer Research, having authored 8 papers that have together received 196 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diet, Metabolism, and Disease (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Diabetes Management and Research (2 papers), Diet and metabolism studies (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (112 citations), Nutrition and Dietetics (64 citations), Biochemistry (18 citations), Endocrine and Autonomic Systems (13 citations) and Cardiology and Cardiovascular Medicine (43 citations). A. A. Rivellese has collaborated with scholars based in Italy and United States. Frequent co-authors include Mario Mancini, Roberto Miccoli, Enzo Manzato, Mariella Trovati, Diego Ardigò, Franco Cavalot, Olga Vaccaro, CR Sirtori, E. Stragliotto and G. Crepaldi. Their work appears in journals such as European Journal of Clinical Investigation, Hormone and Metabolic Research, Nutrition Metabolism and Cardiovascular Diseases, Diabetes and American Journal of Clinical Nutrition.

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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