F Gabrielli

119 total papers · 477 total citations
35 papers, 328 citations indexed

About

F Gabrielli is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, F Gabrielli has authored 35 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 11 papers in Cardiology and Cardiovascular Medicine and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in F Gabrielli's work include Cardiac Arrhythmias and Treatments (7 papers), Cardiac pacing and defibrillation studies (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). F Gabrielli is often cited by papers focused on Cardiac Arrhythmias and Treatments (7 papers), Cardiac pacing and defibrillation studies (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). F Gabrielli collaborates with scholars based in Italy, Japan and Germany. F Gabrielli's co-authors include Filippo Crea, Giacomo De Luca, Silvia Laura Bosello, P Pietri, Gianfranco Ferraccioli, G. Canestrari, Leonarda Galiuto, Annamaria Bianchi, Olympia Tsilochristou and Salvatore Tripodi and has published in prestigious journals such as PLoS ONE, Heart and Journal of Cardiovascular Electrophysiology.

In The Last Decade

F Gabrielli

30 papers receiving 319 citations

Author Peers

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

Author						Papers	Cites
F Gabrielli	98	90	66	64	51	35	328
Emma King	48 0.5×	50 0.6×	76 1.2×	62 1.0×	43 0.8×	42	347
H. Meessen	98 1.0×	36 0.4×	39 0.6×	64 1.0×	41 0.8×	37	317
Benoît Côté	68 0.7×	40 0.4×	29 0.4×	17 0.3×	9 0.2×	24	261
Antonio Giovanni Versace	107 1.1×	49 0.5×	50 0.8×	36 0.6×	27 0.5×	34	329
Serpil Şener	24 0.2×	23 0.3×	56 0.8×	35 0.5×	20 0.4×	45	351
Xue‐Ming Li	146 1.5×	22 0.2×	48 0.7×	56 0.9×	14 0.3×	48	335
Junya Fukuda	14 0.1×	27 0.3×	84 1.3×	27 0.4×	17 0.3×	47	290
D Zemková	17 0.2×	25 0.3×	23 0.3×	83 1.3×	16 0.3×	32	354
H Beck	14 0.1×	81 0.9×	47 0.7×	19 0.3×	35 0.7×	32	332
Reza Amin	11 0.1×	91 1.0×	59 0.9×	102 1.6×	154 3.0×	38	323

Countries citing papers authored by F Gabrielli

Since Specialization

Citations

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

Fields of papers citing papers by F Gabrielli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Gabrielli

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