Federica Dagradi

3.6k citations
38 papers · 1.1k indexed · h-index 18

Federica Dagradi

38 papers receiving 1.1k citations

Peers

Federica Dagradi
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 910
  • Molecular Biology 629
  • Cellular and Molecular Neuroscience 89
  • Nephrology 27
  • Sensory Systems 12
Replace Hitoshi Ichiki with:
Hitoshi Ichiki Japan
Jingquan Zhong China
Katsuji Hashimoto Japan
Justin T. Saunders United States
Tsuneaki Sugimoto Japan
Stephen J. Pieper United States
M C Chin United States
Hiroshi Ikenouchi Japan
Chi-Ming Wei United States
Benjamin C. Eloff United States
Federica Dagradi relative to Hitoshi Ichiki Japan Hitoshi Ichiki's profile →
Citations per field
00.5×8.2×
Hitoshi Ichiki · 1×
Citations per year

Countries citing papers authored by Federica Dagradi

Since Specialization
Citations

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

Fields of papers citing papers by Federica Dagradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Federica Dagradi, 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 Federica Dagradi Line = papers co-authored together Federica Dagradi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 202416
4 202415
5 20246
6 20241
7 20235
8 202134
9 201965
10 201840
11 20182
12 201729
13 20178
14 201611
15 20133
16 201372
17 2012139
18 201229
19 200829
20 2008201

About Federica Dagradi

Federica Dagradi is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (31 papers), Ion channel regulation and function (18 papers), ECG Monitoring and Analysis (8 papers), Cardiac pacing and defibrillation studies (6 papers), Cardiac Arrhythmias and Treatments (6 papers), Receptor Mechanisms and Signaling (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Cardiovascular Effects of Exercise (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (910 citations), Molecular Biology (629 citations) and Cellular and Molecular Neuroscience (89 citations). Federica Dagradi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Peter J. Schwartz, Lia Crotti, Silvia Castelletti, Giuseppe G. A. Celano, Michael J. Ackerman, Carla Spazzolini, Margherita Torchio, David J. Tester, Cherisse A. Marcou and John R. Giudicessi. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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