Filippo Scalise

80 total papers · 1.4k total citations
44 papers, 600 citations indexed

About

Filippo Scalise is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Filippo Scalise has authored 44 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Filippo Scalise's work include Blood Pressure and Hypertension Studies (9 papers), Cardiovascular Health and Disease Prevention (8 papers) and Cardiac Imaging and Diagnostics (8 papers). Filippo Scalise is often cited by papers focused on Blood Pressure and Hypertension Studies (9 papers), Cardiovascular Health and Disease Prevention (8 papers) and Cardiac Imaging and Diagnostics (8 papers). Filippo Scalise collaborates with scholars based in Italy, China and United States. Filippo Scalise's co-authors include Giuseppe Mancia, Giovanni Sorropago, Giuseppe Derosa, Arrigo F.G. Cicero, Angela D’Angelo, Gianfranco Parati, Maria Antonietta Avanzini, Carmine Tinelli, Elena Fogari and Paolo Salvi and has published in prestigious journals such as Journal of the American College of Cardiology, Hypertension and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Filippo Scalise

41 papers receiving 589 citations

Author Peers

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

Author						Papers	Cites
Filippo Scalise	412	136	89	70	69	44	600
Yi Zhang	392 1.0×	109 0.8×	95 1.1×	79 1.1×	56 0.8×	63	669
Yinong Jiang	338 0.8×	109 0.8×	87 1.0×	88 1.3×	61 0.9×	46	554
Wei Li	356 0.9×	105 0.8×	52 0.6×	57 0.8×	77 1.1×	39	564
Suk Min Seo	404 1.0×	169 1.2×	60 0.7×	95 1.4×	118 1.7×	48	611
Shichiro Abe	280 0.7×	270 2.0×	136 1.5×	64 0.9×	71 1.0×	69	671
Yoshio Taketani	314 0.8×	179 1.3×	100 1.1×	89 1.3×	43 0.6×	34	569
D Felmeden	312 0.8×	102 0.8×	64 0.7×	72 1.0×	78 1.1×	26	565
Songbai Deng	332 0.8×	268 2.0×	52 0.6×	65 0.9×	104 1.5×	44	691
Yoshiki Takatsu	287 0.7×	167 1.2×	70 0.8×	134 1.9×	92 1.3×	43	569
Fang‐Yang Huang	383 0.9×	140 1.0×	83 0.9×	117 1.7×	43 0.6×	60	636

Countries citing papers authored by Filippo Scalise

Since Specialization

Citations

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

Fields of papers citing papers by Filippo Scalise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Scalise

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