Donatella Siepi

2.7k citations
72 papers · 2.0k · h-index 25

Impact in

Papers in

Donatella Siepi

71 papers receiving 1.9k citations

Peers

Donatella Siepi
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 486
  • Endocrinology, Diabetes and Metabolism 366
  • Clinical Biochemistry 85
  • Biochemistry 73
  • Physiology 279
Replace Simona Marchesi with:
Simona Marchesi Italy
Laura Schreier Argentina
Graziana Lupattelli Italy
Gaetano Vaudo Italy
Tufail Syed United States
Juan F. Ascaso Spain
José T. Real Spain
Paweł Wołkow Poland
Wael Hamouda United States
Ginger Hook United States
Donatella Siepi relative to Simona Marchesi Italy Simona Marchesi's profile →
Citations per field
00.5×1.5×
Simona Marchesi · 1×
Citations per year

Countries citing papers authored by Donatella Siepi

Since Specialization
Citations

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

Fields of papers citing papers by Donatella Siepi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000126
2 2003118
3 199396
4 200095
5 200691
6 200077
7 200471
8 200869
9 202064
10 200360
11 200558
12 201954
13 200654
14 200454
15 200451
16 200351
17 200249
18 200341
19 200439
20 201935

About Donatella Siepi

Donatella Siepi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Epidemiology and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (14 papers), Lipoproteins and Cardiovascular Health (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Cholesterol and Lipid Metabolism (6 papers), Cardiovascular Function and Risk Factors (5 papers), Diet, Metabolism, and Disease (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (486 citations), Endocrinology, Diabetes and Metabolism (366 citations), Clinical Biochemistry (85 citations), Biochemistry (73 citations) and Physiology (279 citations). Donatella Siepi has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Elmo Mannarino, Matteo Pirro, Giuseppe Schillaci, Graziana Lupattelli, Simona Marchesi, Gaetano Vaudo, Anna Rita Roscini, F Gemelli, Leonella Pasqualini and Massimo R. Mannarino. Their work appears in journals such as Atherosclerosis, Metabolism, Nutrition Metabolism and Cardiovascular Diseases, The American Journal of Cardiology and European Journal of Clinical Investigation.

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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