M. Miola

761 citations
15 papers · 659 · h-index 13

Impact in

    • Diabetes Management and Research
    • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Nitric Oxide and Endothelin Effects
    • Diet and metabolism studies

Papers in

M. Miola

15 papers receiving 643 citations

Peers

M. Miola
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 239
  • Physiology 207
  • Clinical Biochemistry 43
  • Cardiology and Cardiovascular Medicine 120
  • Medical Terminology 1
Replace G. De Mattia with:
G. De Mattia Italy
Motoyoshi Ikebuchi Japan
P Stolba Czechia
F Berthezène France
Mihoko Hosoba Japan
Nobuhiko Togashi Japan
Shahla Riazi United States
Elena Zinßius Germany
Alina Hanf Germany
Paul Modlinger United States
M. Miola relative to G. De Mattia Italy G. De Mattia's profile →
Citations per field
00.5×1.5×2×
G. De Mattia · 1×
Citations per year

Countries citing papers authored by M. Miola

Since Specialization
Citations

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

Fields of papers citing papers by M. Miola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199985
2 199783
3 199673
4 200270
5 200165
6
Alcohol intake impairs glucose counterregulation during acute insulin-induced hypoglycemia in IDDM patients. Evidence for a critical role of free fatty acids.
199349
7 199342
8 199638
9 199735
10 199735
11 199629
12 199919
13 199213
14 199912
15 199311

About M. Miola

M. Miola is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 15 papers that have together received 659 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Diet and metabolism studies (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Muscle metabolism and nutrition (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Diabetes and associated disorders (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (239 citations), Physiology (207 citations), Clinical Biochemistry (43 citations), Cardiology and Cardiovascular Medicine (120 citations) and Medical Terminology (1 citation). M. Miola has collaborated with scholars based in Italy. Frequent co-authors include Angelo Avogaro, Stefano Del Prato, Antonio Tiengo, Anna Valerio, Claudio Cobelli, C. Crepaldi, Alberto Maran, Paola Pavan, Francesco Piarulli and Giulio Ceolotto. Their work appears in journals such as Diabetes, The Journal of Clinical Endocrinology & Metabolism, European Journal of Clinical Investigation, Diabetic Medicine and Acta Diabetologica.

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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