Massimo Puato

2.8k citations
62 papers · 2.0k · h-index 25

Impact in

Papers in

Massimo Puato

59 papers receiving 1.9k citations

Peers

Massimo Puato
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 548
  • Nephrology 147
  • Nutrition and Dietetics 200
  • Immunology 188
  • Internal Medicine 28
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Isabelle Six France
Takafumi Okura Japan
Sharon Wallace United Kingdom
Donald S. Houston Canada
Johannes Jacobi Germany
Mitsushige Nishikawa Japan
Naifeng Liu China
Marie‐Paule Wautier France
Hiroki Matsui Japan
Hsin-Bang Leu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Massimo Puato

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Puato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001431
2 2003149
3 2012114
4 199691
5 201389
6 199972
7 200867
8 200256
9 199953
10 201252
11 201050
12 201445
13 199943
14 200340
15 201834
16 200834
17 200832
18 199732
19 201329
20 201127

About Massimo Puato

Massimo Puato is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Epidemiology, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (11 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Blood Pressure and Hypertension Studies (5 papers), Spondyloarthritis Studies and Treatments (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (548 citations), Nephrology (147 citations), Nutrition and Dietetics (200 citations), Immunology (188 citations) and Internal Medicine (28 citations). Massimo Puato has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Paolo Pauletto, Elisabetta Faggin, Marcello Rattazzi, Saverio Sartore, Rafaella Franch, Angela Chiavegato, Simonetta Ausoni, Elisa Bertacco, Alberto Zambon and Edoardo Casiglia. Their work appears in journals such as Journal of Hypertension, Atherosclerosis, Journal of Human Hypertension, Arteriosclerosis Thrombosis and Vascular Biology and Cardiovascular Therapeutics.

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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