S Bertolini
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Surgery top 5%
- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
- Surgery 28
- Lipoproteins and Cardiovascular Health 23
- Cholesterol and Lipid Metabolism 8
-
- Metabolism, Diabetes, and Cancer 3
- Co-authors
- S. Calandra (27 shared papers)Livia Pisciotta (24 shared papers)Patrizia Tarugi (10 shared papers)Alfredo Cantàfora (10 shared papers)Claudio Priore Oliva (3 shared papers)Antonella Bellocchio (6 shared papers)Giovanni Li Volti (2 shared papers)Raffaele Fresa (5 shared papers)
In The Last Decade
S Bertolini
52 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 259
- Surgery 479
- Cardiology and Cardiovascular Medicine 229
- Cancer Research 118
- Physiology 25
Countries citing papers authored by S Bertolini
This map shows the geographic impact of S Bertolini'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 S Bertolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Bertolini more than expected).
Fields of papers citing papers by S Bertolini
This network shows the impact of papers produced by S Bertolini. 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 S Bertolini. The network helps show where S Bertolini may publish in the future.
Co-authors
The 25 scholars most cited alongside S Bertolini, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 149 | |
| 2 | 2006 | 83 | |
| 3 | 2005 | 79 | |
| 4 | 2009 | 62 | |
| 5 | 2003 | 60 | |
| 6 | 2009 | 59 | |
| 7 | 2008 | 56 | |
| 8 | 1997 | 32 | |
| 9 | 2001 | 31 | |
| 10 | 2003 | 29 | |
| 11 | 2012 | 29 | |
| 12 | 2003 | 27 | |
| 13 | Lipoproteins, anticardiolipin antibodies and thrombotic events in rheumatoid arthritis. | 1997 | 26 |
| 14 | 2008 | 25 | |
| 15 | 2004 | 25 | |
| 16 | 2011 | 21 | |
| 17 | 2017 | 20 | |
| 18 | 2015 | 19 | |
| 19 | 1998 | 19 | |
| 20 | 2003 | 15 |
About S Bertolini
S Bertolini is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (23 papers), Cholesterol and Lipid Metabolism (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cancer, Lipids, and Metabolism (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Lipid metabolism and disorders (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Surgery (479 citations), Cardiology and Cardiovascular Medicine (229 citations), Cancer Research (118 citations) and Physiology (25 citations). S Bertolini has collaborated with scholars based in Italy, Armenia and Spain. Frequent co-authors include S. Calandra, Livia Pisciotta, Patrizia Tarugi, Alfredo Cantàfora, Claudio Priore Oliva, Antonella Bellocchio, Giovanni Li Volti, Raffaele Fresa, Maria Sambataro and Alberico L. Catapano. Their work appears in journals such as Atherosclerosis, Journal of clinical lipidology, Current Opinion in Lipidology, Molecular Genetics and Metabolism and Nutrition Metabolism and Cardiovascular Diseases.
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.