S. Calandra

176 papers receiving 5.1k citations

Peers

S. Calandra
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Surgery 2.6k
  • Cancer Research 749
  • Cardiology and Cardiovascular Medicine 1.1k
  • Biochemistry 269
Replace Marcelo Amar with:
Marcelo Amar United States
Silvia Santamarina-Fojo United States
Naohiko Sakai Japan
Noel Fidge Australia
Carrie L. Welch United States
Shinji Yokoyama Japan
Nicolas Duverger France
Nan Wang United States
E L Bierman United States
Margarita de la Llera-Moya United States
S. Calandra relative to Marcelo Amar United States Marcelo Amar's profile →
Citations per field
00.5×1.5×2.0×
Marcelo Amar · 1×
Citations per year

Countries citing papers authored by S. Calandra

Since Specialization
Citations

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

Fields of papers citing papers by S. Calandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001434
2 2014204
3 2005141
4 2000123
5 2007122
6 2002119
7 2013118
8 2011103
9 1977100
10 200497
11 200596
12 200994
13 201491
14 199685
15 200984
16 200679
17 200576
18 197174
19 200670
20 200468

About S. Calandra

S. Calandra is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 186 papers that have together received 5.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (73 papers), Cholesterol and Lipid Metabolism (53 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers), Lipid metabolism and disorders (28 papers), Cancer, Lipids, and Metabolism (25 papers), Drug Transport and Resistance Mechanisms (18 papers), Liver Disease Diagnosis and Treatment (13 papers) and Lipid metabolism and biosynthesis (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Surgery (2.6k citations), Cancer Research (749 citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Biochemistry (269 citations). S. Calandra has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Stefano Bertolini, Patrizia Tarugi, Livia Pisciotta, S Bertolini, Ermanno Gherardi, Alfredo Cantàfora, Marcello Arca, Claudio Priore Oliva, Maurizio Averna and Antonella Bellocchio. 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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