Stefano Bertolini

7.2k citations
129 papers · 4.7k indexed · h-index 35

Impact in

Papers in

Stefano Bertolini

125 papers receiving 4.5k citations

Peers

Stefano Bertolini
Comparison fields: 5 of 116
  • Aging 259
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cancer Research 821
  • Surgery 2.3k
  • Cardiology and Cardiovascular Medicine 963
Replace Marta Letizia Hribal with:
Marta Letizia Hribal Italy
Toshiro Sugimoto Japan
Catherine Fiévet France
Christine Kim Garcia United States
Mary J. Malloy United States
C.Ronald Kahn United States
Jie Lin United States
Cullen M. Taniguchi United States
Ronald E. Law United States
Carrie L. Welch United States
Stefano Bertolini relative to Marta Letizia Hribal Italy Marta Letizia Hribal's profile →
Citations per field
00.5×3.4×
Marta Letizia Hribal · 1×
Citations per year

Countries citing papers authored by Stefano Bertolini

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Bertolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001433
2 1999301
3 1996280
4 2014202
5 2000123
6 2007122
7 1997118
8 2002118
9 2013116
10 1988105
11 2011100
12 199899
13 200596
14 200194
15 201489
16 199787
17 200670
18 200468
19 201267
20 201163

About Stefano Bertolini

Stefano Bertolini is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Aging, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 129 papers that have together received 4.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (67 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers), Lipid metabolism and disorders (27 papers), Cholesterol and Lipid Metabolism (21 papers), Cancer, Lipids, and Metabolism (15 papers), RNA and protein synthesis mechanisms (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Aging (259 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Cancer Research (821 citations), Surgery (2.3k citations) and Cardiology and Cardiovascular Medicine (963 citations). Stefano Bertolini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include S. Calandra, Livia Pisciotta, Patrizia Tarugi, Maurizio Averna, Claudio Franceschi, R. Fellin, Marcello Arca, Antonella Bellocchio, Giovanni Zuliani and Daniela Mari. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Journal of clinical lipidology, Nutrition Metabolism and Cardiovascular Diseases and Arteriosclerosis Thrombosis and Vascular Biology.

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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