Alice Pignieri

14 papers receiving 462 citations

Peers

Alice Pignieri
Comparison fields: 5 of 72
  • Neurology 68
  • Cardiology and Cardiovascular Medicine 128
  • Physiology 28
  • Biochemistry 30
  • Endocrinology, Diabetes and Metabolism 59
Replace Yasuhiro Egi with:
Yasuhiro Egi Japan
Zhao Han China
Michiyo Kaneko United States
Sebastian Benkhoff Germany
Minshu Wang China
Sara P. Alom-Ruiz United Kingdom
Nicole S. Wayman United Kingdom
Junko Hiraoka‐Yamamoto Japan
Héloïse Mongue‐Din United Kingdom
Parimala Narne India
Alice Pignieri relative to Yasuhiro Egi Japan Yasuhiro Egi's profile →
Citations per field
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Yasuhiro Egi · 1×
Citations per year

Countries citing papers authored by Alice Pignieri

Since Specialization
Citations

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

Fields of papers citing papers by Alice Pignieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2009104
2 201476
3
The role of HMG-CoA reductase inhibition in endothelial dysfunction and inflammation.
200758
4
The role of HMG-CoA reductase inhibition in endothelial dysfunction and inflammation
200741
5 201037
6 201032
7 201528
8 201024
9 200720
10 201718
11 201715
12 20136
13 20136
14 20083

About Alice Pignieri

Alice Pignieri is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Neurology, Surgery and Pharmacology, having authored 14 papers that have together received 468 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Inflammatory mediators and NSAID effects (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), S100 Proteins and Annexins (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Neurology (68 citations), Cardiology and Cardiovascular Medicine (128 citations), Physiology (28 citations), Biochemistry (30 citations) and Endocrinology, Diabetes and Metabolism (59 citations). Alice Pignieri has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Paolo Gelosa, Elena Tremoli, Luigi Sironi, Uliano Guerrini, Mauro Cimino, Laura Castiglioni, Cristina Banfi, Maura Brioschi, Lars Fändriks and Lucia Turolo. Their work appears in journals such as Journal of Hypertension, Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Cerebral Blood Flow & Metabolism and Journal of Thrombosis and Haemostasis.

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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