Davide Noto

135 papers receiving 2.9k citations

Peers

Davide Noto
Comparison fields: 5 of 122
  • Endocrinology, Diabetes and Metabolism 645
  • Cardiology and Cardiovascular Medicine 634
  • Surgery 955
  • Clinical Biochemistry 153
  • Gastroenterology 112
Replace Angelo B. Cefalù with:
Angelo B. Cefalù Italy
G. H. Tomkin Ireland
Juan F. Ascaso Spain
Hideki Hidaka Japan
Heiner Greten Germany
Sven Fischer Germany
P. Barton Duell United States
José Tuñón Spain
Anna Gluba-Brzózka Poland
Paola Loria Italy
Davide Noto relative to Angelo B. Cefalù Italy Angelo B. Cefalù's profile →
Citations per field
00.5×4.3×
Angelo B. Cefalù · 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 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009290
2 2007122
3 2013118
4 2006113
5 2007107
6 200596
7 201268
8 200964
9 201362
10 201758
11 200752
12 201551
13 200150
14 200950
15 201244
16 200743
17 201342
18 201540
19 201338
20 201237

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 137 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (33 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers), Lipid metabolism and disorders (23 papers), Liver Disease Diagnosis and Treatment (11 papers), Cancer, Lipids, and Metabolism (8 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 (645 citations), Cardiology and Cardiovascular Medicine (634 citations), Surgery (955 citations), Clinical Biochemistry (153 citations) and Gastroenterology (112 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, S. Calandra, Stefano Bertolini 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 Metabolism.

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.

Explore authors with similar magnitude of impact