Francesca Santilli

134 papers receiving 4.8k citations

Peers

Francesca Santilli
Comparison fields: 5 of 128
  • Internal Medicine 312
  • Clinical Biochemistry 509
  • Cardiology and Cardiovascular Medicine 1.2k
  • Endocrinology, Diabetes and Metabolism 881
  • Pharmacology 489
Replace Ingebjørg Seljeflot with:
Ingebjørg Seljeflot Norway
Gemma Vilahur Spain
Dario Pitocco Italy
Roberto Testa Italy
Elmo Mannarino Italy
Lorenzo Loffredo Italy
Yukihiko Adachi Japan
Anna Maria Gori Italy
Paul E. Szmitko Canada
Jaye Chin‐Dusting Australia
Francesca Santilli relative to Ingebjørg Seljeflot Norway Ingebjørg Seljeflot's profile →
Citations per field
00.5×3.3×
Ingebjørg Seljeflot · 1×
Citations per year

Countries citing papers authored by Francesca Santilli

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Santilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011207
2 2009199
3 2012187
4 2009169
5 2009145
6 2007131
7 2010125
8 2003121
9 2015118
10 2007109
11 2005107
12 2006107
13 200096
14 201591
15 201789
16 202089
17 200588
18 201884
19 200583
20 200782

About Francesca Santilli

Francesca Santilli is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Epidemiology and Pharmacology, having authored 136 papers that have together received 4.9k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (27 papers), Lipoproteins and Cardiovascular Health (11 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Inflammatory mediators and NSAID effects (11 papers), Diabetes Treatment and Management (11 papers), Venous Thromboembolism Diagnosis and Management (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Inflammatory Biomarkers in Disease Prognosis (8 papers). The work is most often cited by research in Internal Medicine (312 citations), Clinical Biochemistry (509 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (881 citations) and Pharmacology (489 citations). Francesca Santilli has collaborated with scholars based in Italy, United States and Norway. Frequent co-authors include Giovanni Davı̀, Natale Vazzana, Rossella Liani, Maria Teresa Guagnano, Carlo Patrono, Francesco Cipollone, Giovanni Ciabattoni, Stefania Basili, Andrea Boccatonda and Damiano D’Ardes. Their work appears in journals such as Internal and Emergency Medicine, Thrombosis and Haemostasis, Free Radical Biology and Medicine, Current Medicinal Chemistry and Vascular Pharmacology.

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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