Mario Pacileo
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- Cardiac Health and Mental Health 7
- Acute Myocardial Infarction Research 4
- Cardiovascular Disease and Adiposity 3
- Cardiovascular Function and Risk Factors 3
- Chemotherapy-induced cardiotoxicity and mitigation 3
- Clinical Biochemistry top 5%
- Hematology top 10%
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- Adipokines, Inflammation, and Metabolic Diseases 5
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- Atherosclerosis and Cardiovascular Diseases 4
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- Lipoproteins and Cardiovascular Health 3
- Co-authors
- Plinio CirilloSalvatore De RosaMassimo ChiarielloFrancesco GiallauriaCarlo VigoritoPaolo CalabròPaolo GolinoRaffaele De Palma
- Cited by
- Cardiology and Cardiovascular MedicineClinical BiochemistryComplementary and alternative medicine
- Journals
- Circulation (1 paper)SHILAP Revista de lepidopterología (2 papers)Cardiovascular Research (1 paper)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Mario Pacileo
31 papers receiving 870 citations
Peers
Comparison fields: 5 of 88
- Cardiology and Cardiovascular Medicine 407
- Clinical Biochemistry 76
- Complementary and alternative medicine 91
- Internal Medicine 27
- Hematology 76
Countries citing papers authored by Mario Pacileo
This map shows the geographic impact of Mario Pacileo'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 Mario Pacileo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Pacileo more than expected).
Fields of papers citing papers by Mario Pacileo
This network shows the impact of papers produced by Mario Pacileo. 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 Mario Pacileo. The network helps show where Mario Pacileo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Pacileo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 16 | |
| 8 | 2016 | 0 | |
| 9 | 2016 | 17 | |
| 10 | 2011 | 49 | |
| 11 | 2010 | 51 | |
| 12 | 2009 | 30 | |
| 13 | 2009 | 10 | |
| 14 | 2009 | 41 | |
| 15 | 2008 | 34 | |
| 16 | 2008 | 84 | |
| 17 | 2007 | 24 | |
| 18 | 2006 | 40 | |
| 19 | 2005 | 127 | |
| 20 | 2003 | 17 |
About Mario Pacileo
Mario Pacileo is a scholar working on Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Critical Care and Intensive Care Medicine, having authored 33 papers that have together received 884 indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Acute Myocardial Infarction Research (4 papers), Cardiovascular Disease and Adiposity (3 papers), Cardiovascular Function and Risk Factors (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Chemotherapy-induced cardiotoxicity and mitigation (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (407 citations), Clinical Biochemistry (76 citations) and Complementary and alternative medicine (91 citations). Mario Pacileo has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Plinio Cirillo, Salvatore De Rosa, Massimo Chiariello, Francesco Giallauria, Carlo Vigorito, Paolo Calabrò, Paolo Golino, Raffaele De Palma, Gianluca Petrillo and Mariantonietta D’Agostino. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Cardiovascular Research.
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.