Vito Margari

53 total papers · 746 total citations
20 papers, 267 citations indexed

About

Vito Margari is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Vito Margari has authored 20 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 17 papers in Cardiology and Cardiovascular Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Vito Margari's work include Cardiac and Coronary Surgery Techniques (13 papers), Cardiac Valve Diseases and Treatments (12 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Vito Margari is often cited by papers focused on Cardiac and Coronary Surgery Techniques (13 papers), Cardiac Valve Diseases and Treatments (12 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Vito Margari collaborates with scholars based in Italy, Netherlands and Canada. Vito Margari's co-authors include Domenico Paparella, Pietro Giorgio Malvindi, Giuseppe Speziale, Giuseppe Visicchio, Pietro Guida, Roberto Lorusso, Alberto Albertini, Giuseppe Santarpino, Florinda Mastro and Marco Moscarelli and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The Annals of Thoracic Surgery and International Journal of Cardiology.

In The Last Decade

Vito Margari

18 papers receiving 261 citations

Author Peers

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

Author						Papers	Cites
Vito Margari	177	163	82	64	30	20	267
Michal Pořízka	110 0.6×	112 0.7×	68 0.8×	50 0.8×	39 1.3×	31	278
Abhijit Ghatak	156 0.9×	166 1.0×	76 0.9×	38 0.6×	32 1.1×	22	306
Priyadharshanan Ariyaratnam	96 0.5×	142 0.9×	43 0.5×	95 1.5×	37 1.2×	28	291
Mehmet Oezkur	164 0.9×	83 0.5×	41 0.5×	86 1.3×	24 0.8×	31	317
Hiromasa Nagata	78 0.4×	95 0.6×	71 0.9×	46 0.7×	33 1.1×	27	263
Brian Stegman	93 0.5×	110 0.7×	56 0.7×	39 0.6×	42 1.4×	19	236
Josep M. Caralps	173 1.0×	194 1.2×	26 0.3×	38 0.6×	65 2.2×	24	291
L Piazza	238 1.3×	174 1.1×	60 0.7×	29 0.5×	66 2.2×	15	294
A Charpentier	169 1.0×	165 1.0×	51 0.6×	66 1.0×	59 2.0×	31	310
Joseph L. Fredi	170 1.0×	109 0.7×	70 0.9×	36 0.6×	10 0.3×	27	277

Countries citing papers authored by Vito Margari

Since Specialization

Citations

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

Fields of papers citing papers by Vito Margari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vito Margari

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