R. Rizza

904 citations
14 papers · 760 · h-index 12

Impact in

Papers in

    • Diabetes Management and Research 4
    • Diabetes Treatment and Management 3
    • Diet, Metabolism, and Disease 2
    • Growth Hormone and Insulin-like Growth Factors 2
    • Diabetes, Cardiovascular Risks, and Lipoproteins 1
    • Diet and metabolism studies 7

R. Rizza

14 papers receiving 721 citations

Peers

R. Rizza
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 484
  • Endocrine and Autonomic Systems 84
  • Physiology 267
  • Behavioral Neuroscience 36
  • Cell Biology 79
Replace H. L. Lickley with:
H. L. Lickley Canada
M. M. Ventura Italy
Yaichiro Yukimura Japan
Raymond Fink United States
Jean‐Marc Lavoie Canada
A Wennlund Sweden
P. Aitken Australia
Yuko Akehi Japan
M. McAloon-Dyke United States
Cintia B. Ueta United States
R. Rizza relative to H. L. Lickley Canada H. L. Lickley's profile →
Citations per field
00.5×10×
H. L. Lickley · 1×
Citations per year

Countries citing papers authored by R. Rizza

Since Specialization
Citations

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

Fields of papers citing papers by R. Rizza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1985148
2 1993142
3 1999135
4 198254
5 200352
6 199750
7 198439
8 198039
9 199332
10 199528
11 198720
12 199811
13 19959
14
Postprandial endogenous glucose production from a single tracer labeled meal: Validation against a triple tracer protocol
20071

About R. Rizza

R. Rizza is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 760 indexed citations. Recurring topics across this work include Diet and metabolism studies (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Diabetes Management and Research (4 papers), Pancreatic function and diabetes (3 papers), Diabetes Treatment and Management (3 papers), Diet, Metabolism, and Disease (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (484 citations), Endocrine and Autonomic Systems (84 citations), Physiology (267 citations), Behavioral Neuroscience (36 citations) and Cell Biology (79 citations). R. Rizza has collaborated with scholars based in United States and Canada. Frequent co-authors include Aus Alzaid, Seán F. Dinneen, Rita Basu, Pankaj Shah, Lawrence J. Mandarino, Ananda Basu, John J. Miles, Barbara A. Baker, Boris Draznin and J. E. Gerich. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetologia, Journal of Clinical Investigation, Diabetes and Hormone and Metabolic Research.

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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