Francesco S. Loffredo

4.3k total citations · 3 hit papers
43 papers, 3.2k citations indexed

About

Francesco S. Loffredo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Rheumatology. According to data from OpenAlex, Francesco S. Loffredo has authored 43 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 13 papers in Molecular Biology and 8 papers in Rheumatology. Recurrent topics in Francesco S. Loffredo's work include Cardiovascular Function and Risk Factors (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Muscle Physiology and Disorders (4 papers). Francesco S. Loffredo is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Muscle Physiology and Disorders (4 papers). Francesco S. Loffredo collaborates with scholars based in Italy, United States and Germany. Francesco S. Loffredo's co-authors include Richard Lee, Amy J. Wagers, James R. Pancoast, Matthew L. Steinhauser, Joseph Gannon, Christine Miller, Lee L. Rubin, Nadia K. Litterman, John W. Chen and Lida Katsimpardi and has published in prestigious journals such as Science, Cell and Circulation.

In The Last Decade

Francesco S. Loffredo

41 papers receiving 3.1k citations

Hit 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.

Vascular and Neurogenic Rejuvenation of the Aging Mouse Brain by Young Systemic Factors

2014 760 citations Lida Katsimpardi, Nadia K. Litterman et al. Science profile →
Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophy

2013 699 citations Francesco S. Loffredo, Joseph Gannon et al. profile →
Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle

2014 621 citations Manisha Sinha, Young C. Jang et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesco S. Loffredo Italy	17	1.7k	811	554	545	494	43	3.2k
James R. Pancoast United States	7	1.0k 0.6×	542 0.7×	218 0.4×	248 0.5×	385 0.8×	9	1.7k
Jennifer L. Shadrach United States	14	2.3k 1.4×	1.2k 1.5×	630 1.1×	293 0.5×	342 0.7×	20	5.3k
Ronald D. Cohn United States	24	3.4k 2.0×	888 1.1×	466 0.8×	889 1.6×	149 0.3×	38	4.4k
Tata Nageswara Rao United States	19	1.8k 1.1×	644 0.8×	391 0.7×	306 0.6×	103 0.2×	32	3.6k
Danika Khong United States	10	973 0.6×	496 0.6×	219 0.4×	123 0.2×	279 0.6×	14	1.7k
Hiroshi Kurosu Japan	24	3.5k 2.1×	837 1.0×	694 1.3×	164 0.3×	338 0.7×	41	7.2k
Simone Spuler Germany	34	2.0k 1.2×	444 0.5×	327 0.6×	444 0.8×	165 0.3×	104	3.3k
Ludmila Pawlikowska United States	31	685 0.4×	278 0.3×	741 1.3×	365 0.7×	295 0.6×	72	3.2k
Donal MacGrogan United States	30	2.1k 1.3×	564 0.7×	312 0.6×	355 0.7×	99 0.2×	45	3.9k
Maurizio Moggio Italy	44	4.4k 2.6×	883 1.1×	335 0.6×	459 0.8×	373 0.8×	195	6.2k

Countries citing papers authored by Francesco S. Loffredo

Since Specialization

Citations

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

Fields of papers citing papers by Francesco S. Loffredo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco S. Loffredo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco S. Loffredo. A scholar is included among the top collaborators of Francesco S. Loffredo 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 S. Loffredo. Francesco S. Loffredo 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

Cimmino, Giovanni, et al.. (2025). Cardio-Pulmonary Features of Long COVID: From Molecular and Histopathological Characteristics to Clinical Implications. International Journal of Molecular Sciences. 26(16). 7668–7668. 1 indexed citations

Caiazza, Martina, Emanuele Monda, Francesco S. Loffredo, et al.. (2025). Integrating Genetic, Clinical, and Histopathological Data for Definitive Diagnosis of PRKAG2-Related Disease. SHILAP Revista de lepidopterología. 15(4). 30–30.

Natale, Francesco, Enrica Pezzullo, Giuseppe Limongelli, et al.. (2024). The Desmoplakin Phenotype Spectrum: Is the Inflammation the “Fil Rouge” Linking Myocarditis, Arrhythmogenic Cardiomyopathy, and Uncommon Autoinflammatory Systemic Disease?. Genes. 15(9). 1234–1234. 3 indexed citations

Ammirati, Enrico, Novella Conti, Simone Frea, et al.. (2024). Rationale and study design of the international randomized control trial MYocarditis THerapy with Steroids: the MYTHS trial. European Heart Journal. 45(Supplement_1). 1 indexed citations

Cimmino, Giovanni, Francesco S. Loffredo, Gennaro De Rosa, & Plinio Cirillo. (2023). Colchicine in Athero-Thrombosis: Molecular Mechanisms and Clinical Evidence. International Journal of Molecular Sciences. 24(3). 2483–2483. 10 indexed citations

Pezzullo, Enrica, Serena Vettori, Rossana Bussani, et al.. (2023). Fulminant Myocarditis Unmasking Adult-Onset Still’s Disease and Desmoplakin Truncation. Circulation Cardiovascular Imaging. 16(8). e015001–e015001. 4 indexed citations

Ciccarelli, Giovanni, R Bianchi, Maurizio Cappelli Bigazzi, et al.. (2021). Asymptomatic Stroke in the Setting of Percutaneous Non-Coronary Intervention Procedures. Medicina. 58(1). 45–45. 4 indexed citations

Natale, Francesco, et al.. (2021). Peripheral Artery Disease and Abdominal Aortic Aneurysm: The Forgotten Diseases in COVID-19 Pandemic. Results from an Observational Study on Real-World Management. Medicina. 57(7). 672–672. 5 indexed citations

Cimmino, Giovanni, Roberta Tarallo, Stefano Conte, et al.. (2018). Colchicine reduces platelet aggregation by modulating cytoskeleton rearrangement via inhibition of cofilin and LIM domain kinase 1. Vascular Pharmacology. 111. 62–70. 44 indexed citations

10.

Cannatà, Antonio, et al.. (2017). Role of circulating factors in cardiac aging. Journal of Thoracic Disease. 9(S1). S17–S29. 15 indexed citations

11.

Cimmino, Giovanni, Francesco S. Loffredo, Alberto Morello, et al.. (2016). Immune-Inflammatory Activation in Acute Coronary Syndromes: A Look into the Heart of Unstable Coronary Plaque. Current Cardiology Reviews. 13(2). 110–117. 31 indexed citations

12.

Cannatà, Antonio, et al.. (2016). Pathways for salvage and protection of the heart under stress: novel routes for cardiac rejuvenation. Cardiovascular Research. 111(2). 142–153. 19 indexed citations

13.

Poggioli, Tommaso, Ana Vujić, Peiguo Yang, et al.. (2015). Circulating Growth Differentiation Factor 11/8 Levels Decline With Age. Circulation Research. 118(1). 29–37. 154 indexed citations

14.

Sinha, Manisha, Young C. Jang, Juhyun Oh, et al.. (2014). Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle. Science. 344(6184). 649–652. 621 indexed citations breakdown →

15.

Katsimpardi, Lida, Nadia K. Litterman, Christine Miller, et al.. (2014). Vascular and Neurogenic Rejuvenation of the Aging Mouse Brain by Young Systemic Factors. Science. 344(6184). 630–634. 760 indexed citations breakdown →

16.

Cimmino, Giovanni, Massimo Ragni, Plinio Cirillo, et al.. (2012). C-reactive protein induces expression of matrix metalloproteinase-9: A possible link between inflammation and plaque rupture. International Journal of Cardiology. 168(2). 981–986. 48 indexed citations

17.

Forte, Lavinia, Giovanni Cimmino, Francesco S. Loffredo, et al.. (2011). C-reactive protein is released in the coronary circulation and causes endothelial dysfunction in patients with acute coronary syndromes. International Journal of Cardiology. 152(1). 7–12. 34 indexed citations

18.

Gresele, Paolo, Emanuela Falcinelli, Francesco S. Loffredo, et al.. (2010). Platelets release matrix metalloproteinase-2 in the coronary circulation of patients with acute coronary syndromes: possible role in sustained platelet activation. European Heart Journal. 32(3). 316–325. 59 indexed citations

19.

Segers, Vincent F. M., Francesco S. Loffredo, Tomotake Tokunou, et al.. (2007). Abstract 423: Intramyocardial Delivery Of Protease-resistant Stromal Cell Derived Factor-1 By Self-assembling Peptide Nanofibers. Circulation. 116. 2 indexed citations

20.

Golino, Paolo, et al.. (2005). Novel antithrombotic strategies in cardiovascular diseases.. PubMed. 6(3). 298–306. 8 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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