G. Cazzolato
Impact in
- Biochemistry top 0.5%
- Antioxidant Activity and Oxidative Stress
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Surgery 37
- Lipoproteins and Cardiovascular Health 29
- Cholesterol and Lipid Metabolism 11
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 29
- Co-authors
- P Avogaro (48 shared papers)Gabriele Bittolo Bon (24 shared papers)G. Bittolo‐Bon (18 shared papers)G.B. Quinci (8 shared papers)Gerhard M. Kostner (6 shared papers)Egon Marth (1 shared paper)Alex Sevanian (5 shared papers)Howard N. Hodis (4 shared papers)
In The Last Decade
G. Cazzolato
65 papers receiving 3.2k citations
G. Cazzolato's Hit Papers
Peers
Comparison fields: 5 of 121
- Biochemistry 819
- Endocrinology, Diabetes and Metabolism 1.4k
- Surgery 1.6k
- Cancer Research 469
- Immunology 606
Countries citing papers authored by G. Cazzolato
This map shows the geographic impact of G. Cazzolato'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 G. Cazzolato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Cazzolato more than expected).
Fields of papers citing papers by G. Cazzolato
This network shows the impact of papers produced by G. Cazzolato. 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 G. Cazzolato. The network helps show where G. Cazzolato may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Cazzolato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lipoprotein Lp(a) and the risk for myocardial infarction Hit paper breakdown → | 1981 | 565 |
| 2 | ARE APOLIPOPROTEINS BETTER DISCRIMINATORS THAN LIPIDS FOR ATHEROSCLEROSIS? Hit paper breakdown → | 1979 | 452 |
| 3 | 1988 | 300 | |
| 4 | 1994 | 243 | |
| 5 | 1997 | 138 | |
| 6 | 1998 | 135 | |
| 7 | 1996 | 120 | |
| 8 | 1980 | 111 | |
| 9 | 1991 | 99 | |
| 10 | 1979 | 94 | |
| 11 | 1996 | 91 | |
| 12 | 1998 | 90 | |
| 13 | 1978 | 87 | |
| 14 | 1978 | 77 | |
| 15 | 1982 | 58 | |
| 16 | 1975 | 52 | |
| 17 | 1999 | 49 | |
| 18 | 1991 | 45 | |
| 19 | 2003 | 43 | |
| 20 | 1999 | 43 |
About G. Cazzolato
G. Cazzolato is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Biochemistry and Molecular Biology, having authored 69 papers that have together received 3.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers), Lipoproteins and Cardiovascular Health (29 papers), Cancer, Lipids, and Metabolism (17 papers), Antioxidant Activity and Oxidative Stress (14 papers), Cholesterol and Lipid Metabolism (11 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Fatty Acid Research and Health (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Biochemistry (819 citations), Endocrinology, Diabetes and Metabolism (1.4k citations), Surgery (1.6k citations), Cancer Research (469 citations) and Immunology (606 citations). G. Cazzolato has collaborated with scholars based in Italy, Russia and Austria. Frequent co-authors include P Avogaro, Gabriele Bittolo Bon, G. Bittolo‐Bon, G.B. Quinci, Gerhard M. Kostner, Egon Marth, Alex Sevanian, Howard N. Hodis, Adriana Zamburlini and Fulvio Ursini. Their work appears in journals such as Atherosclerosis, Clinica Chimica Acta, Free Radical Biology and Medicine, Journal of Lipid Research and The Lancet.
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.