Salvatore D’Isa

18 total papers · 933 total citations
13 papers, 683 citations indexed

About

Salvatore D’Isa is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Molecular Biology. According to data from OpenAlex, Salvatore D’Isa has authored 13 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 3 papers in Nephrology and 2 papers in Molecular Biology. Recurrent topics in Salvatore D’Isa's work include Heart Failure Treatment and Management (4 papers), Dialysis and Renal Disease Management (3 papers) and Cardiac pacing and defibrillation studies (2 papers). Salvatore D’Isa is often cited by papers focused on Heart Failure Treatment and Management (4 papers), Dialysis and Renal Disease Management (3 papers) and Cardiac pacing and defibrillation studies (2 papers). Salvatore D’Isa collaborates with scholars based in Italy, Germany and United States. Salvatore D’Isa's co-authors include Gennaro Cice, Raffaele Calabrò, Antonello D’Andrea, Attilio Di Benedetto, Luigi Ferrara, Pina Elvira Russo, Paolo Golino, Antonio Cittadini, Daniele Marcelli and Emanuele Gatti and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of the American Society of Nephrology and European Heart Journal.

In The Last Decade

Salvatore D’Isa

13 papers receiving 656 citations

Author Peers

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

Author Last Decade Papers Cites
Salvatore D’Isa 559 317 134 71 69 13 683
G. London 406 0.7× 218 0.7× 178 1.3× 108 1.5× 42 0.6× 16 653
Koshiro Fukiyama 261 0.5× 390 1.2× 109 0.8× 128 1.8× 64 0.9× 11 678
Jeremy Dwight 350 0.6× 176 0.6× 89 0.7× 118 1.7× 45 0.7× 17 715
Pradip Teredesai 348 0.6× 448 1.4× 79 0.6× 156 2.2× 48 0.7× 9 593
Diego Bellino 330 0.6× 264 0.8× 90 0.7× 108 1.5× 27 0.4× 17 557
Attilio Di Benedetto 441 0.8× 437 1.4× 131 1.0× 106 1.5× 69 1.0× 16 702
Robert Toto 246 0.4× 385 1.2× 87 0.6× 94 1.3× 106 1.5× 7 613
Kunitoshi Iseki 232 0.4× 492 1.6× 124 0.9× 130 1.8× 71 1.0× 9 745
M. Labrunie 140 0.3× 361 1.1× 96 0.7× 116 1.6× 61 0.9× 9 616
Soichi Sugahara 269 0.5× 361 1.1× 109 0.8× 156 2.2× 49 0.7× 32 619

Countries citing papers authored by Salvatore D’Isa

Since Specialization
Citations

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

Fields of papers citing papers by Salvatore D’Isa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salvatore D’Isa. 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 Salvatore D’Isa. The network helps show where Salvatore D’Isa may publish in the future.

Co-authorship network of co-authors of Salvatore D’Isa

This figure shows the co-authorship network connecting the top 25 collaborators of Salvatore D’Isa. A scholar is included among the top collaborators of Salvatore D’Isa 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 Salvatore D’Isa. Salvatore D’Isa 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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2026