Mario Pacileo

51 total papers · 1.1k total citations
33 papers, 876 citations indexed

About

Mario Pacileo is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Mario Pacileo has authored 33 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Mario Pacileo's work include Cardiac Health and Mental Health (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Mario Pacileo is often cited by papers focused on Cardiac Health and Mental Health (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Mario Pacileo collaborates with scholars based in Italy, United States and Australia. Mario Pacileo's co-authors include Plinio Cirillo, Salvatore De Rosa, Massimo Chiariello, Francesco Giallauria, Carlo Vigorito, Paolo Calabrò, Paolo Golino, Gianluca Petrillo, Raffaele De Palma and Mariantonietta D’Agostino and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Cardiovascular Research.

In The Last Decade

Mario Pacileo

31 papers receiving 862 citations

Author Peers

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

Author						Papers	Cites
Mario Pacileo	401	170	144	140	124	33	876
Rita Lombardini	274 0.7×	157 0.9×	235 1.6×	125 0.9×	81 0.7×	68	959
Ricardo J. Esper	347 0.9×	87 0.5×	126 0.9×	155 1.1×	98 0.8×	30	772
Sophie Ziegler	243 0.6×	73 0.4×	161 1.1×	302 2.2×	58 0.5×	22	913
Hye Kyoung Song	133 0.3×	254 1.5×	143 1.0×	213 1.5×	95 0.8×	19	894
Geert-Jan Tangelder	299 0.7×	61 0.4×	248 1.7×	109 0.8×	59 0.5×	50	880
Charu Munjal	161 0.4×	163 1.0×	73 0.5×	374 2.7×	54 0.4×	23	943
Mark Kozak	281 0.7×	105 0.6×	178 1.2×	152 1.1×	120 1.0×	34	821
Kei Yunoki	440 1.1×	78 0.5×	242 1.7×	134 1.0×	81 0.7×	38	914
Tetsuro Yoshida	517 1.3×	117 0.7×	144 1.0×	178 1.3×	50 0.4×	41	959
Mariko Fukumoto	301 0.8×	114 0.7×	143 1.0×	65 0.5×	220 1.8×	20	779

Countries citing papers authored by Mario Pacileo

Since Specialization

Citations

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

Fields of papers citing papers by Mario Pacileo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Pacileo

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