Davide Noto

136 papers receiving 3.0k citations

Peers

Davide Noto
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 673
  • Cardiology and Cardiovascular Medicine 659
  • Surgery 999
  • Clinical Biochemistry 162
  • Gastroenterology 122
Replace G. H. Tomkin with:
G. H. Tomkin Ireland
Angelo B. Cefalù Italy
Anna Gluba-Brzózka Poland
Hideki Hidaka Japan
Juan F. Ascaso Spain
P. Barton Duell United States
José Tuñón Spain
Heiner Greten Germany
Xiong Z. Ruan United Kingdom
Paola Loria Italy
Davide Noto relative to G. H. Tomkin Ireland G. H. Tomkin's profile →
Citations per field
00.5×2×3×4.3×
G. H. Tomkin · 1×
Citations per year

Countries citing papers authored by Davide Noto

Since Specialization
Citations

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

Fields of papers citing papers by Davide Noto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009298
2 2007136
3 2013119
4 2006115
5 2007109
6 200596
7 201270
8 200966
9 201365
10 201759
11 200756
12 200951
13 201551
14 200150
15 201246
16 201543
17 201043
18 200743
19 201342
20 201339

About Davide Noto

Davide Noto is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology, having authored 139 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (35 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers), Lipid metabolism and disorders (23 papers), Liver Disease Diagnosis and Treatment (11 papers), Cancer, Lipids, and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cholesterol and Lipid Metabolism (6 papers) and Lipid metabolism and biosynthesis (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (673 citations), Cardiology and Cardiovascular Medicine (659 citations), Surgery (999 citations), Clinical Biochemistry (162 citations) and Gastroenterology (122 citations). Davide Noto has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Maurizio Averna, Angelo B. Cefalù, Gregorio Caimi, Eugenia Hopps, Carlo M. Barbagallo, Patrizia Tarugi, A Notarbartoló, Stefano Bertolini, S. Calandra and Antonina Giammanco. Their work appears in journals such as Atherosclerosis, Nutrition Metabolism and Cardiovascular Diseases, Arteriosclerosis Thrombosis and Vascular Biology, Journal of clinical lipidology and Scandinavian Journal of Gastroenterology.

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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