M Verza

1.6k citations
24 papers · 1.3k · h-index 16

Impact in

Papers in

M Verza

24 papers receiving 1.3k citations

Peers

M Verza
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 529
  • Endocrinology, Diabetes and Metabolism 374
  • Physiology 191
  • Pharmacology 96
  • Complementary and alternative medicine 46
Replace E Knapp with:
E Knapp Austria
Kodlipet Dharmashankar United States
Bernard Jover France
Nobutaka Hirai Japan
Ming-Sheng Zhou United States
Anastasios N. Lasaridis Greece
Keiichiro Atarashi Japan
Atsuhito Saiki Japan
I. Tikkanen Finland
Junichi Yatabe Japan
M Verza relative to E Knapp Austria E Knapp's profile →
Citations per field
00.5×6.7×
E Knapp · 1×
Citations per year

Countries citing papers authored by M Verza

Since Specialization
Citations

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

Fields of papers citing papers by M Verza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003144
2 1991143
3 1994137
4
ACE inhibition improves insulin-sensitivity in aged insulin-resistant hypertensive patients.
1992115
5 1980105
6 2006101
7 200685
8 200675
9 200372
10 200767
11 199756
12 199151
13 199247
14 199742
15 199317
16 200717
17 19819
18 19937
19
Hypertension in the elderly is associated with impaired glucose metabolism independently of obesity and glucose intolerance.
19887
20 19966

About M Verza

M Verza is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology and Epidemiology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Blood Pressure and Hypertension Studies (4 papers), Diabetes Treatment and Management (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Diet and metabolism studies (3 papers), Hormonal Regulation and Hypertension (3 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (529 citations), Endocrinology, Diabetes and Metabolism (374 citations), Physiology (191 citations), Pharmacology (96 citations) and Complementary and alternative medicine (46 citations). M Verza has collaborated with scholars based in Italy and Brazil. Frequent co-authors include Giuseppe Paolisso, M Varricchio, Antonio Gambardella, Dario Giugliano, Federico Cacciapuoti, Raffaele Marfella, Mario Siniscalchi, S. De Riu, Giuseppe Marrazzo and S Sgambato. Their work appears in journals such as Archives of Gerontology and Geriatrics, Metabolism, Hypertension, European Journal of Clinical Pharmacology and Diabetic Medicine.

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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