S Bertolini

1.9k citations
53 papers · 988 · h-index 18

Impact in

Papers in

S Bertolini

50 papers receiving 967 citations

Peers

S Bertolini
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 340
  • Surgery 549
  • Cardiology and Cardiovascular Medicine 282
  • Cancer Research 160
  • Physiology 31
Replace Daniel Walcher with:
Daniel Walcher Germany
Takashi Minase Japan
Isabel Huang‐Doran United Kingdom
J Minamikawa Japan
B. Schwippert Germany
Tadashi Kuroda Japan
Robert C. Bauer United States
David Manka United States
Jessica J. Moorleghen United States
Kentaro Suda Japan
S Bertolini relative to Daniel Walcher Germany Daniel Walcher's profile →
Citations per field
00.5×6.2×
Daniel Walcher · 1×
Citations per year

Countries citing papers authored by S Bertolini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S Bertolini Line = papers co-authored together S Bertolini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 200678
3 200576
4 200961
5 200360
6 200854
7 200953
8 200129
9 201229
10 199729
11 200328
12 200327
13
Lipoproteins, anticardiolipin antibodies and thrombotic events in rheumatoid arthritis.
199725
14 200824
15 200424
16 201120
17 201719
18 201519
19 199817
20 200316

About S Bertolini

S Bertolini is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 53 papers that have together received 988 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (24 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Cancer, Lipids, and Metabolism (10 papers), Cholesterol and Lipid Metabolism (10 papers), Lipid metabolism and disorders (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Systemic Lupus Erythematosus Research (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (340 citations), Surgery (549 citations), Cardiology and Cardiovascular Medicine (282 citations), Cancer Research (160 citations) and Physiology (31 citations). S Bertolini has collaborated with scholars based in Italy, Finland 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, Current Opinion in Lipidology, Nutrition Metabolism and Cardiovascular Diseases, Molecular Genetics and Metabolism and Journal of clinical lipidology.

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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