Maria Perticone

3.5k citations
132 papers · 2.5k indexed · h-index 29

Impact in

Papers in

Maria Perticone

128 papers receiving 2.5k citations

Peers

Maria Perticone
Comparison fields: 5 of 110
  • Nephrology 377
  • Endocrinology, Diabetes and Metabolism 723
  • Cardiology and Cardiovascular Medicine 920
  • Physiology 503
  • Epidemiology 536
Replace Raffaele Maio with:
Raffaele Maio Italy
Demetrio Ciociaro Italy
Erdinç Çakır Türkiye
Qifu Li China
Lung‐An Hsu Taiwan
Muhei Tanaka Japan
Bang‐Gee Hsu Taiwan
Tayfun Eyıleten Türkiye
Cristiana Catena Italy
Francesca Saggiani Italy
Maria Perticone relative to Raffaele Maio Italy Raffaele Maio's profile →
Citations per field
00.5×1.5×2.1×
Raffaele Maio · 1×
Citations per year

Countries citing papers authored by Maria Perticone

Since Specialization
Citations

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

Fields of papers citing papers by Maria Perticone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20245
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6 20238
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13 20222
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15 202213
16 20212
17 202131
18 20204
19 202036
20 202017

About Maria Perticone

Maria Perticone is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Nephrology, Epidemiology and Physiology, having authored 132 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (33 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (28 papers), Liver Disease Diagnosis and Treatment (24 papers), Blood Pressure and Hypertension Studies (23 papers), Cardiovascular Health and Disease Prevention (22 papers), Heart Rate Variability and Autonomic Control (9 papers), Diet, Metabolism, and Disease (9 papers) and Metabolism, Diabetes, and Cancer (8 papers). The work is most often cited by research in Nephrology (377 citations), Endocrinology, Diabetes and Metabolism (723 citations), Cardiology and Cardiovascular Medicine (920 citations), Physiology (503 citations) and Epidemiology (536 citations). Maria Perticone has collaborated with scholars based in Italy, Switzerland and Denmark. Frequent co-authors include Giorgio Sesti, Angela Sciacqua, Francesco Perticone, Raffaele Maio, Francesco Andreozzi, Teresa Vanessa Fiorentino, Elena Succurro, Sofia Miceli, Marta Letizia Hribal and Franco Arturi. Their work appears in journals such as International Journal of Cardiology, Cardiovascular Diabetology, Internal and Emergency Medicine, Nutrition Metabolism and Cardiovascular Diseases and The Journal of Clinical Endocrinology & Metabolism.

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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