Francesca Santilli

6.9k citations
131 papers · 4.6k · h-index 41

Impact in

Papers in

Francesca Santilli

129 papers receiving 4.5k citations

Peers

Francesca Santilli
Comparison fields: 5 of 131
  • Internal Medicine 339
  • Clinical Biochemistry 547
  • Cardiology and Cardiovascular Medicine 1.5k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Pharmacology 584
Replace Roberto Testa with:
Roberto Testa Italy
Dario Pitocco Italy
Gemma Vilahur Spain
Elmo Mannarino Italy
Alexios S. Antonopoulos Greece
Lorenzo Loffredo Italy
Hubert Scharnagl Austria
Jaye Chin‐Dusting Australia
Francesco Andreozzi Italy
Hendrik Vilstrup Denmark
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Citations per field
00.5×2.7×
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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 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011200
2 2009191
3 2012179
4 2009157
5 2009141
6 2007122
7 2003114
8 2015112
9 2007108
10 2005106
11 2010104
12 200699
13 201589
14 200585
15 200085
16 202083
17 201783
18 201883
19 202081
20 200580

About Francesca Santilli

Francesca Santilli is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Pharmacology, having authored 131 papers that have together received 4.6k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (28 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Inflammatory mediators and NSAID effects (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Atherosclerosis and Cardiovascular Diseases (12 papers), Lipoproteins and Cardiovascular Health (12 papers), Diabetes Treatment and Management (11 papers) and Venous Thromboembolism Diagnosis and Management (10 papers). The work is most often cited by research in Internal Medicine (339 citations), Clinical Biochemistry (547 citations), Cardiology and Cardiovascular Medicine (1.5k citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Pharmacology (584 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, Andrea Boccatonda, Stefania Basili 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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