Francesco Cipollone

12.5k total citations · 1 hit paper
194 papers, 8.1k citations indexed

About

Francesco Cipollone is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology and Surgery. According to data from OpenAlex, Francesco Cipollone has authored 194 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cardiology and Cardiovascular Medicine, 42 papers in Pharmacology and 34 papers in Surgery. Recurrent topics in Francesco Cipollone's work include Inflammatory mediators and NSAID effects (37 papers), Antiplatelet Therapy and Cardiovascular Diseases (19 papers) and Eicosanoids and Hypertension Pharmacology (18 papers). Francesco Cipollone is often cited by papers focused on Inflammatory mediators and NSAID effects (37 papers), Antiplatelet Therapy and Cardiovascular Diseases (19 papers) and Eicosanoids and Hypertension Pharmacology (18 papers). Francesco Cipollone collaborates with scholars based in Italy, United States and Germany. Francesco Cipollone's co-authors include Andrea Mezzetti, Franco Cuccurullo, Maria Fazia, Annalisa Iezzi, Marco Bucci, Carlo Patrono, Francesco Chiarelli, Domenico De Cesare, Giovanni Davı̀ and S Ucchino and has published in prestigious journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Francesco Cipollone

188 papers receiving 7.9k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

From NAFLD to MAFLD: Definition, Pathophysiological Basis and Cardiovascular Implications

2023 74 citations Andrea Boccatonda, Damiano D’Ardes et al. Biomedicines profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Francesco Cipollone Italy	50	1.7k	1.6k	1.6k	1.5k	1.1k	194	8.1k
Andrea Mezzetti Italy	58	900 0.5×	1.9k 1.2×	2.5k 1.5×	1.9k 1.3×	1.1k 1.0×	184	10.3k
Franco Cuccurullo Italy	52	940 0.6×	1.5k 0.9×	2.6k 1.6×	1.8k 1.2×	960 0.9×	193	9.1k
Takeshi Sugaya Japan	61	929 0.6×	3.7k 2.2×	2.9k 1.8×	1.5k 1.0×	681 0.6×	229	10.7k
Matteo Pirro Italy	62	653 0.4×	2.7k 1.6×	2.3k 1.4×	2.7k 1.9×	1.7k 1.5×	263	11.2k
Giovanni Davı̀ Italy	61	1.9k 1.1×	1.8k 1.1×	5.0k 3.0×	3.0k 2.0×	1.3k 1.2×	219	13.5k
Jacek Rysz Poland	52	463 0.3×	1.9k 1.2×	2.7k 1.6×	2.8k 1.9×	676 0.6×	360	10.3k
Gérald Luc France	46	649 0.4×	1.8k 1.1×	3.0k 1.8×	3.1k 2.1×	994 0.9×	88	9.1k
Jaw‐Wen Chen Taiwan	51	419 0.3×	3.1k 1.9×	2.8k 1.7×	1.6k 1.1×	1.0k 0.9×	291	9.4k
Magnus Bäck Sweden	49	570 0.3×	2.1k 1.3×	2.1k 1.3×	1.6k 1.1×	2.0k 1.8×	190	8.5k
Karin Jandeleit‐Dahm Australia	57	590 0.4×	3.7k 2.3×	1.8k 1.1×	1.3k 0.9×	1.9k 1.7×	157	10.8k

Countries citing papers authored by Francesco Cipollone

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Cipollone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Cipollone

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Cipollone. A scholar is included among the top collaborators of Francesco Cipollone based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Cipollone. Francesco Cipollone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Boccatonda, Andrea, Paola Simeone, Sabina Gallina, et al.. (2025). Early prescription of SGLT2i for acute patient care: from current evidence to future directions. Current Problems in Cardiology. 50(8). 103081–103081. 1 indexed citations

Boccatonda, Andrea, Damiano D’Ardes, Gianfranco Lessiani, et al.. (2024). Platelet, Antiplatelet Therapy and Masld: A Narrative Review. Preprints.org. 1 indexed citations

Boccatonda, Andrea, Maria Teresa Guagnano, Damiano D’Ardes, et al.. (2024). The Role of Contrast-Enhanced Ultrasound in the Differential Diagnosis of Malignant and Benign Subpleural Lung Lesions. Journal of Clinical Medicine. 13(8). 2302–2302. 3 indexed citations

Costantini, Erica, Claudia Carrarini, Matteo de Rosa, et al.. (2024). Search in the Periphery for Potential Inflammatory Biomarkers of Dementia with Lewy Bodies and Alzheimer’s Disease. Journal of Alzheimer s Disease. 99(3). 1147–1158. 2 indexed citations

Boccatonda, Andrea, Damiano D’Ardes, Gianfranco Lessiani, et al.. (2024). Platelet, Antiplatelet Therapy and Metabolic Dysfunction-Associated Steatotic Liver Disease: A Narrative Review. Life. 14(4). 473–473. 18 indexed citations

Franceschelli, Sara, Maria Anna Maggi, Silvia Bisti, et al.. (2024). Biological Response of Treatment with Saffron Petal Extract on Cytokine-Induced Oxidative Stress and Inflammation in the Caco-2/Human Leukemia Monocytic Co-Culture Model. Antioxidants. 13(10). 1257–1257. 2 indexed citations

Boccatonda, Andrea, Damiano D’Ardes, Gianfranco Lessiani, et al.. (2024). From MASLD to PAD: Looking for Cardiovascular Disease Starting from Metabolic Status. Medicina. 60(11). 1781–1781. 4 indexed citations

Boccatonda, Andrea, Damiano D’Ardes, Maria Teresa Guagnano, Francesco Cipollone, & Francesca Santilli. (2023). Selective serotonin reuptake inhibitors related bleeding risk: case report and review of literature. SHILAP Revista de lepidopterología. 19(3). 1 indexed citations

D’Ardes, Damiano, Pamela Pignatelli, Francesco Cipollone, et al.. (2023). Risk Factors and Immunoinflammatory Mechanisms Leading to Atherosclerosis: Focus on the Role of Oral Microbiota Dysbiosis. Microorganisms. 11(6). 1479–1479. 8 indexed citations

10.

Liani, Rossella, Paola Simeone, Romina Tripaldi, et al.. (2023). Kinetics of Circulating Extracellular Vesicles Over the 24‐Hour Dosing Interval After Low‐Dose Aspirin Administration in Patients at Cardiovascular Risk. Clinical Pharmacology & Therapeutics. 113(5). 1096–1106. 4 indexed citations

11.

Curia, Maria Cristina, Pamela Pignatelli, Damiano D’Ardes, et al.. (2022). Oral Porphyromonas gingivalis and Fusobacterium nucleatum Abundance in Subjects in Primary and Secondary Cardiovascular Prevention, with or without Heterozygous Familial Hypercholesterolemia. Biomedicines. 10(9). 2144–2144. 7 indexed citations

12.

Coccina, Francesca, Paola Borrelli, Anna M. Pierdomenico, et al.. (2022). Prediction of Masked Uncontrolled Hypertension Detected by Ambulatory Blood Pressure Monitoring. Diagnostics. 12(12). 3156–3156. 2 indexed citations

13.

Simeone, Paola, Rossella Liani, Giuseppina Bologna, et al.. (2022). Extracellular vesicles number and cell subtype may be influenced by diabetes mellitus and metformin in patients at high cardiovascular risk. Nutrition Metabolism and Cardiovascular Diseases. 33(1). 124–132. 2 indexed citations

14.

Simeone, Paola, Giovambattista Desideri, Rossella Liani, et al.. (2021). Insulin resistance and NAFLD may influence memory performance in obese patients with prediabetes or newly-diagnosed type 2 diabetes. Nutrition Metabolism and Cardiovascular Diseases. 31(9). 2685–2692. 7 indexed citations

15.

Simeone, Paola, Andrea Boccatonda, Maria Teresa Guagnano, et al.. (2020). Liraglutide improves memory in obese patients with prediabetes or early type 2 diabetes: a randomized, controlled study. International Journal of Obesity. 44(6). 1254–1263. 83 indexed citations

16.

D’Ardes, Damiano, Lucia Esposito, Andrea Boccatonda, et al.. (2020). Duration of COVID-19: Data from an Italian Cohort and Potential Role for Steroids. Microorganisms. 8(9). 1327–1327. 17 indexed citations

17.

D’Ardes, Damiano, Claudia Carrarini, Mirella Russo, et al.. (2020). Low molecular weight heparin in COVID-19 patients prevents delirium and shortens hospitalization. Neurological Sciences. 42(4). 1527–1530. 16 indexed citations

18.

Pistoia, Francesca, Francesco Cipollone, Claudio Ferri, et al.. (2010). Cyclooxygenase and Atherosclerosis: A Smoking Area. Current Pharmaceutical Design. 16(23). 2567–2571. 8 indexed citations

19.

Chiarelli, Francesco, Anna Spagnoli, F. Basciani, et al.. (2000). Vascular endothelial growth factor (VEGF) in children, adolescents and young adults with Type 1 diabetes mellitus: relation to glycaemic control and microvascular complications. Diabetic Medicine. 17(9). 650–656. 104 indexed citations

20.

Davı̀, Giovanni, Stefania Basili, Francesco Cipollone, et al.. (1997). Enhanced Thromboxane Biosynthesis in Patients with Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 156(6). 1794–1799. 63 indexed citations

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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