Paolo Poggio

4.5k citations
102 papers · 2.8k indexed · 2 hit papers · h-index 29

Paolo Poggio

95 papers receiving 2.7k citations

Hit Papers

Platelet and Endothelial Activation as Potential Mechanis...1542020202620222024200400600

Peers

Paolo Poggio
Comparison fields: 5 of 126
  • Cardiology and Cardiovascular Medicine 1.2k
  • Endocrinology, Diabetes and Metabolism 364
  • Pulmonary and Respiratory Medicine 464
  • Epidemiology 491
  • Surgery 582
Replace Mohamed Omer with:
Mohamed Omer United States
Toru Miyoshi Japan
Panagiotis Theofilis Greece
George Latsios Greece
Masayuki Takamura Japan
Keiko Maeda Japan
Shusuke Yagi Japan
Kiyuk Chang South Korea
Daisuke Fujioka Japan
Aijun Sun China
Paolo Poggio relative to Mohamed Omer United States Mohamed Omer's profile →
Citations per field
00.5×
Mohamed Omer · 1×
Citations per year

Countries citing papers authored by Paolo Poggio

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Poggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20251
5 20250
6 20241
7 20240
8 20231
9 202350
10 202227
11 20223
12 20222
13 202115
14 202141
15 20219
16 202110
17 202020
18 201826
19 201710
20 201260

About Paolo Poggio

Paolo Poggio is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 102 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (40 papers), Cardiovascular Function and Risk Factors (17 papers), Infective Endocarditis Diagnosis and Management (15 papers), Aortic Disease and Treatment Approaches (12 papers), Lipoproteins and Cardiovascular Health (8 papers), Cardiac Imaging and Diagnostics (7 papers), Aortic aneurysm repair treatments (6 papers) and Diabetes Treatment and Management (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (364 citations) and Pulmonary and Respiratory Medicine (464 citations). Paolo Poggio has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Veronika A. Myasoedova, Alexander N. Orekhov, Anastasia V. Poznyak, Valentina Alfieri, Andrey V. Grechko, Giovanni Ferrari, Paola Songia, Rachana Sainger, Donato Moschetta and Emanuela Branchetti. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and European Heart Journal.

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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