Filippo Perbellini

2.2k citations
36 papers · 1.6k · h-index 22

Impact in

Papers in

Filippo Perbellini

35 papers receiving 1.6k citations

Peers

Filippo Perbellini
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 484
  • Biomaterials 298
  • Surgery 546
  • Cellular and Molecular Neuroscience 199
  • Biomedical Engineering 470
Replace Song-Yan Liao with:
Song-Yan Liao Hong Kong
Paola Campagnolo United Kingdom
Wilhelm Roell Germany
Daria A. Narmoneva United States
Robert Civitarese Canada
Elisa Garbayo Spain
Carmine Gentile Australia
Anna Pfenniger United States
Naimeh Rafatian Canada
Patrizia Camelliti United Kingdom
Filippo Perbellini relative to Song-Yan Liao Hong Kong Song-Yan Liao's profile →
Citations per field
00.5×1.5×2.1×
Song-Yan Liao · 1×
Citations per year

Countries citing papers authored by Filippo Perbellini

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Perbellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Filippo Perbellini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Filippo Perbellini Line = papers co-authored together Filippo Perbellini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018245
2 2016205
3 2018180
4 201791
5 201985
6 201969
7 202062
8 201760
9
Animal models and animal-free innovations for cardiovascular research: current status and routes to be explored. Consensus document of the ESC Working Group on Myocardial Function and the ESC Working Group on Cellular Biology of the Heart
202253
10 202351
11 202149
12 201848
13 201945
14 202042
15 202141
16 201740
17 201936
18 201626
19 201823
20 201322

About Filippo Perbellini

Filippo Perbellini is a scholar working on Cardiology and Cardiovascular Medicine, Biomaterials, Surgery, Genetics and Molecular Biology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (15 papers), Cardiac Fibrosis and Remodeling (10 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Neuroscience and Neural Engineering (5 papers), Pluripotent Stem Cells Research (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Mesenchymal stem cell research (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (484 citations), Biomaterials (298 citations), Surgery (546 citations), Cellular and Molecular Neuroscience (199 citations) and Biomedical Engineering (470 citations). Filippo Perbellini has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Cesare M. Terracciano, Samuel A. Watson, Ifigeneia Bardi, Thomas Thum, Siân E. Harding, Catherine A. Mansfield, Damia Mawad, Daniel J. Stuckey, Eleanor J. Humphrey and Jennifer L. Puetzer. Their work appears in journals such as Basic Research in Cardiology, European Heart Journal, Scientific Reports, Cardiovascular Research and Cell stem cell.

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.

Explore authors with similar magnitude of impact