Matteo Saccocci

97 total papers · 1.6k total citations
27 papers, 407 citations indexed

About

Matteo Saccocci is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Matteo Saccocci has authored 27 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 14 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in Matteo Saccocci's work include Cardiac Valve Diseases and Treatments (19 papers), Infective Endocarditis Diagnosis and Management (12 papers) and Cardiac Structural Anomalies and Repair (9 papers). Matteo Saccocci is often cited by papers focused on Cardiac Valve Diseases and Treatments (19 papers), Infective Endocarditis Diagnosis and Management (12 papers) and Cardiac Structural Anomalies and Repair (9 papers). Matteo Saccocci collaborates with scholars based in Italy, Switzerland and United States. Matteo Saccocci's co-authors include Marco Zanobini, Maciej Banach, Gianni D. Angelini, Gabriele Piffaretti, Cesare Beghi, Marzia Cottini, Giovanni Mariscalco, Fausto Biancari, Paolo Poggio and Alessandro Di Minno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Thoracic and Cardiovascular Surgery and BioMed Research International.

In The Last Decade

Matteo Saccocci

24 papers receiving 396 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matteo Saccocci	349	136	92	86	58	27	407
Ermanna Chiari	357 1.0×	139 1.0×	149 1.6×	91 1.1×	24 0.4×	22	406
Csaba Jenei	363 1.0×	114 0.8×	134 1.5×	145 1.7×	89 1.5×	29	494
R.P. Sapru	206 0.6×	122 0.9×	110 1.2×	104 1.2×	28 0.5×	27	431
Jules Fast	271 0.8×	118 0.9×	76 0.8×	70 0.8×	156 2.7×	28	484
Jane Howard	308 0.9×	119 0.9×	199 2.2×	122 1.4×	49 0.8×	19	420
Cihan Altın	283 0.8×	127 0.9×	42 0.5×	107 1.2×	72 1.2×	38	380
Luca Longobardo	330 0.9×	72 0.5×	61 0.7×	126 1.5×	126 2.2×	21	404
John Mooney	292 0.8×	153 1.1×	82 0.9×	74 0.9×	149 2.6×	21	393
Maria Cristina Donadio Abduch	231 0.7×	113 0.8×	125 1.4×	146 1.7×	79 1.4×	39	381
Nicholas Robinson	235 0.7×	177 1.3×	55 0.6×	118 1.4×	46 0.8×	29	399

Countries citing papers authored by Matteo Saccocci

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Saccocci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Saccocci

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Saccocci. A scholar is included among the top collaborators of Matteo Saccocci 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 Matteo Saccocci. Matteo Saccocci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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