Daniela Sansaro

793 citations
14 papers · 452 indexed · h-index 8

Daniela Sansaro

13 papers receiving 440 citations

Peers

Daniela Sansaro
Comparison fields: 5 of 81
  • Internal Medicine 58
  • Cardiology and Cardiovascular Medicine 214
  • Modeling and Simulation 21
  • Infectious Diseases 66
  • Health 29
Replace B. Frigerio with:
B. Frigerio Italy
A. Ravani Italy
Apichard Sukonthasarn Thailand
Gwen Masclee Netherlands
Samantha Alvarez‐Madrazo United Kingdom
Victor Williams South Africa
Kullaya Takkavatakarn Thailand
Tommasa Vicario Italy
Victoria Rotshild Israel
Han Eol Jeong South Korea
Daniela Sansaro relative to B. Frigerio Italy B. Frigerio's profile →
Citations per field
00.5×1.5×
B. Frigerio · 1×
Citations per year

Countries citing papers authored by Daniela Sansaro

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Sansaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20251
2 20243
3 20212
4 202099
5 20190
6 201910
7 201813
8 2017171
9 201765
10 20174
11 20148
12 201442
13 20147
14 201327

About Daniela Sansaro

Daniela Sansaro is a scholar working on Cardiology and Cardiovascular Medicine, Modeling and Simulation, Pulmonary and Respiratory Medicine, Biochemistry and Nutrition and Dietetics, having authored 14 papers that have together received 452 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (8 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Blood Pressure and Hypertension Studies (6 papers), Nutritional Studies and Diet (3 papers), Diet and metabolism studies (2 papers), Antioxidant Activity and Oxidative Stress (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Internal Medicine (58 citations), Cardiology and Cardiovascular Medicine (214 citations), Modeling and Simulation (21 citations), Infectious Diseases (66 citations) and Health (29 citations). Daniela Sansaro has collaborated with scholars based in Italy, Sweden and Netherlands. Frequent co-authors include A. Ravani, B. Frigerio, Mauro Amato, Damiano Baldassarre, Elena Tremoli, José Pablo Werba, Fabrizio Veglia, Alessandro Di Minno, Gaia Spadarella and Joseph P. Kitzmiller. Their work appears in journals such as Atherosclerosis, Biomedicines, Current Pharmaceutical Design, Blood Reviews and International Journal of Cardiology.

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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