M Lunetta

1.1k citations
50 papers · 785 · h-index 16

Impact in

Papers in

M Lunetta

46 papers receiving 737 citations

Peers

M Lunetta
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 385
  • Hepatology 48
  • Neurology 86
  • Genetics 150
  • Physiology 119
Replace Karin Hengst with:
Karin Hengst Germany
R. G. Bretzel Germany
L. Altomonte Italy
Junji Kozawa Japan
Karen Siu Ling Lam Hong Kong
M. Yanagisawa Japan
H. L. Sheehan United Kingdom
R. B. Welbourn United Kingdom
P. C. Ganguli United Kingdom
P. A. Bastenie Belgium
M Lunetta relative to Karin Hengst Germany Karin Hengst's profile →
Citations per field
00.5×3.3×
Karin Hengst · 1×
Citations per year

Countries citing papers authored by M Lunetta

Since Specialization
Citations

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

Fields of papers citing papers by M Lunetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199598
2 199868
3 199466
4 200566
5 200064
6 199749
7 199830
8 199025
9 200324
10 199224
11 199621
12 197918
13 197918
14 199817
15
Diabetic neuropathy: prevalence, concordance between clinical and electrophysiological testing and impact of risk factors.
199716
16 199015
17 199714
18 199214
19 199813
20 198812

About M Lunetta

M Lunetta is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Genetics and Surgery, having authored 50 papers that have together received 785 indexed citations. Recurring topics across this work include Diabetes Management and Research (15 papers), Diabetes and associated disorders (7 papers), Diabetes Treatment and Management (7 papers), Diet and metabolism studies (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers), Pancreatic function and diabetes (4 papers) and Pharmacology and Obesity Treatment (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (385 citations), Hepatology (48 citations), Neurology (86 citations), Genetics (150 citations) and Physiology (119 citations). M Lunetta has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include M. Di Mauro, Rosario Le Moli, Ferdinando Nicoletti, C Coscelli, I Nosari, Giuseppe Grasso, Pier Luigi Meroni, Rosaria Gangemi, Chiara Rubino and Marco Lombardo. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetic Medicine, Scandinavian Journal of Immunology, Acta Diabetologica 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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