Sergio Fazio

16.7k citations
143 papers · 8.0k indexed · 6 hit papers · h-index 44

Sergio Fazio

136 papers receiving 7.9k citations

Hit Papers

Lipoprotein(a), PCSK9 Inhibition, and C...5852011202620162021250500750

Peers

Sergio Fazio
Comparison fields: 5 of 137
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Surgery 4.6k
  • Cardiology and Cardiovascular Medicine 1.9k
  • Cancer Research 1.2k
  • Immunology 1.4k
Replace Maurizio Averna with:
Maurizio Averna Italy
Fernando Civeira Spain
Ioanna Gouni‐Berthold Germany
Michael Szarek United States
Gérald Luc France
G. Kees Hovingh Netherlands
John R. Guyton United States
Brian A. Ference United States
Marianne Benn Denmark
Jan Albert Kuivenhoven Netherlands
Sergio Fazio relative to Maurizio Averna Italy Maurizio Averna's profile →
Citations per field
00.5×1.5×2.1×
Maurizio Averna · 1×
Citations per year

Countries citing papers authored by Sergio Fazio

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Fazio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20241
5 202415
6 20233
7 202331
8 202311
9 202327
10 202226
11 202040
12 202012
13 201913
14 201923
15 201830
16 201715
17
Abstract P044: Alcohol Consumption, Statin Use and Risk of All-Cause Mortality in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Cohort
20151
18 201449
19 2010173
20 1994102

About Sergio Fazio

Sergio Fazio is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine, having authored 143 papers that have together received 8.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (82 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers), Pharmaceutical Economics and Policy (17 papers), Cancer, Lipids, and Metabolism (14 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Atherosclerosis and Cardiovascular Diseases (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Lipid metabolism and disorders (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Surgery (4.6k citations) and Cardiology and Cardiovascular Medicine (1.9k citations). Sergio Fazio has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Michael D. Shapiro, Hagai Tavori, MacRae F. Linton, Salim S. Virani, Pratik B. Sandesara, Robert S. Rosenson, M. John Chapman, Marc S. Sabatine, Robert P. Giugliano and Alberico L. Catapano. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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2026