Maurizio Averna
- Surgery top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Epidemiology top 2%
- Cancer Research top 1%
- Co-authors
- Davide NotoA NotarbartolóAngelo B. CefalùGiovanni Davı̀Carlo M. BarbagalloMichel FarnierErik S.G. StroesGregorio Caimi
- Topics
- Lipoproteins and Cardiovascular Health (127 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (76 papers)Lipid metabolism and disorders (58 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Maurizio Averna
278 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Surgery 5.2k
- Endocrinology, Diabetes and Metabolism 2.9k
- Cardiology and Cardiovascular Medicine 2.8k
- Epidemiology 1.2k
- Cancer Research 1.2k
Countries citing papers authored by Maurizio Averna
This map shows the geographic impact of Maurizio Averna'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 Maurizio Averna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Averna more than expected).
Fields of papers citing papers by Maurizio Averna
This network shows the impact of papers produced by Maurizio Averna. 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 Maurizio Averna. The network helps show where Maurizio Averna may publish in the future.
Co-authorship network of co-authors of Maurizio Averna
This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Averna. A scholar is included among the top collaborators of Maurizio Averna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maurizio Averna. Maurizio Averna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 16 | |
| 11 | 23 | |
| 12 | 25 | |
| 13 | 8 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | Abstract 16516: Sustained LDL-C Lowering and Stable Hepatic Fat Levels in Patients With Homozygous Familial Hypercholesterolemia Treated With the Microsomal Triglyceride Transfer Protein Inhibitor, Lomitapide: Results of an Ongoing Long-Term Extension Study | 11 |
| 17 | Abstract 17396: Apheresis Treatment does not Affect the Lipid-Lowering Efficacy of Lomitapide, a Microsomal Triglyceride Transfer Protein Inhibitor, in Patients with Homozygous Familial Hypercholesterolemia | 3 |
| 18 | 2 | |
| 19 | 36 | |
| 20 | 18 |
About Maurizio Averna
Maurizio Averna is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 288 papers that have together received 9.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (127 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (76 papers) and Lipid metabolism and disorders (58 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.9k citations), Cardiology and Cardiovascular Medicine (2.8k citations) and Surgery (5.2k citations). Maurizio Averna has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Davide Noto, A Notarbartoló, Angelo B. Cefalù, Giovanni Davı̀, Carlo M. Barbagallo, Michel Farnier, Erik S.G. Stroes, Gregorio Caimi, Carlo Patrono and Eugenia Hopps. Their work appears in journals such as New England Journal of Medicine, The Lancet 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.