Velia Cassano

873 citations
51 papers · 520 · h-index 15

Impact in

Papers in

Velia Cassano

45 papers receiving 513 citations

Peers

Velia Cassano
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 144
  • Internal Medicine 17
  • Nephrology 33
  • Endocrinology, Diabetes and Metabolism 71
  • Endocrine and Autonomic Systems 24
Replace Giuseppe Armentaro with:
Giuseppe Armentaro Italy
Susanne Breuer Germany
Tse-Min Lu Taiwan
Rafael L. Portella Brazil
Karen Kimura Japan
R Nami Italy
Lakshini Y. Herat Australia
Simone Nascimento dos Santos Brazil
Dawid Chabowski United States
Velia Cassano relative to Giuseppe Armentaro Italy Giuseppe Armentaro's profile →
Citations per field
00.5×4.5×
Giuseppe Armentaro · 1×
Citations per year

Countries citing papers authored by Velia Cassano

Since Specialization
Citations

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

Fields of papers citing papers by Velia Cassano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202156
2 202050
3 202046
4 202324
5 202418
6 202018
7 202218
8 202117
9 202216
10 202016
11 202116
12 202116
13 202216
14 202115
15 202214
16 202413
17 202213
18 202311
19 202411
20 202110

About Velia Cassano

Velia Cassano is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Nephrology, having authored 51 papers that have together received 520 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (12 papers), Cardiovascular Health and Disease Prevention (6 papers), Blood Pressure and Hypertension Studies (4 papers), Diabetes Treatment and Management (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Heart Failure Treatment and Management (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (144 citations), Internal Medicine (17 citations), Nephrology (33 citations), Endocrinology, Diabetes and Metabolism (71 citations) and Endocrine and Autonomic Systems (24 citations). Velia Cassano has collaborated with scholars based in Italy, Switzerland and Romania. Frequent co-authors include Angela Sciacqua, Giuseppe Armentaro, Giorgio Sesti, Sofia Miceli, Maria Perticone, Francesco Andreozzi, Marta Letizia Hribal, Francesco Perticone, Raffaele Maio and Teresa Vanessa Fiorentino. Their work appears in journals such as Cardiovascular Diabetology, Internal and Emergency Medicine, European Journal of Clinical Investigation, Nutrients and Frontiers in Pharmacology.

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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