Matteo Anaclerio

87 total papers · 1.1k total citations
35 papers, 790 citations indexed

About

Matteo Anaclerio is a scholar working on Cardiology and Cardiovascular Medicine, Insect Science and Surgery. According to data from OpenAlex, Matteo Anaclerio has authored 35 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 8 papers in Insect Science and 7 papers in Surgery. Recurrent topics in Matteo Anaclerio's work include Cardiac Arrhythmias and Treatments (11 papers), Cardiac pacing and defibrillation studies (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Matteo Anaclerio is often cited by papers focused on Cardiac Arrhythmias and Treatments (11 papers), Cardiac pacing and defibrillation studies (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Matteo Anaclerio collaborates with scholars based in Italy, United States and Egypt. Matteo Anaclerio's co-authors include Giovanni Luzzi, Cinzia Forleo, Massimo Iacoviello, Pietro Guida, Roberta Romito, Maria Vittoria Pitzalis, P Rizzon, Stefano Favale, Pietro Palmisano and Elisabetta De Tommasi and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Matteo Anaclerio

34 papers receiving 769 citations

Author Peers

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

Author						Papers	Cites
Matteo Anaclerio	666	215	139	65	43	35	790
William Barrington	332 0.5×	122 0.6×	75 0.5×	48 0.7×	18 0.4×	37	739
Yan Dai	605 0.9×	59 0.3×	119 0.9×	8 0.1×	30 0.7×	60	789
Masahiko Goto	394 0.6×	28 0.1×	90 0.6×	29 0.4×	19 0.4×	24	643
Hongyun Liu	340 0.5×	129 0.6×	68 0.5×	8 0.1×	108 2.5×	45	672
Melanie A. Smith	181 0.3×	230 1.1×	216 1.6×	31 0.5×	36 0.8×	25	753
Anthony M. Downs	105 0.2×	96 0.4×	35 0.3×	67 1.0×	52 1.2×	41	742
Haiying Yu	154 0.2×	278 1.3×	36 0.3×	17 0.3×	34 0.8×	29	725
W. E. Rempel	169 0.3×	322 1.5×	16 0.1×	48 0.7×	25 0.6×	53	754
L. Concheiro	96 0.1×	208 1.0×	60 0.4×	108 1.7×	6 0.1×	39	749
Thomas Fritz Hansen	489 0.7×	95 0.4×	87 0.6×	4 0.1×	23 0.5×	39	778

Countries citing papers authored by Matteo Anaclerio

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Anaclerio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Anaclerio

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Anaclerio. A scholar is included among the top collaborators of Matteo Anaclerio 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 Anaclerio. Matteo Anaclerio 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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