Donatella Siepi

2.7k citations
70 papers · 1.9k indexed · h-index 25

Donatella Siepi

68 papers receiving 1.9k citations

Peers

Donatella Siepi
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 529
  • Cardiology and Cardiovascular Medicine 671
  • Biochemistry 92
  • Physiology 344
  • Clinical Biochemistry 86
Replace Masahiro Sugano with:
Masahiro Sugano Japan
Chiara Stranieri Italy
José T. Real Spain
Laura Schreier Argentina
Juan F. Ascaso Spain
Graziana Lupattelli Italy
Tetsuro Miyazaki Japan
Tufail Syed United States
Aleksandra Zeljković Serbia
Jelena Vekić Serbia
Donatella Siepi relative to Masahiro Sugano Japan Masahiro Sugano's profile →
Citations per field
00.5×1.7×
Masahiro Sugano · 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-authorship network

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
#Work
1 202062
2 201021
3 20101
4 200818
5 200720
6 200718
7 200654
8 200558
9 200420
10 20042
11 200418
12 200454
13 200468
14 20036
15 200340
16 2003113
17 200360
18 200125
19 200095
20 2000124

About Donatella Siepi

Donatella Siepi is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Biochemistry, Equine and Clinical Biochemistry, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (18 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Lipoproteins and Cardiovascular Health (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Cardiovascular Disease and Adiposity (7 papers), Cholesterol and Lipid Metabolism (7 papers), Cancer, Lipids, and Metabolism (6 papers) and Cardiovascular Function and Risk Factors (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (529 citations), Cardiology and Cardiovascular Medicine (671 citations), Biochemistry (92 citations), Physiology (344 citations) and Clinical Biochemistry (86 citations). Donatella Siepi has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Elmo Mannarino, Giuseppe Schillaci, Matteo Pirro, 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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2026