Federica Accornero

2.9k citations
59 papers · 2.1k indexed · 1 hit paper · h-index 24

Federica Accornero

56 papers receiving 2.1k citations

Hit Papers

The N 6 -Methyladenosine mRNA Methylase METTL3 Controls C...3242019202620212023100200300

Peers

Federica Accornero
Comparison fields: 5 of 102
  • Cardiology and Cardiovascular Medicine 659
  • Molecular Biology 1.5k
  • Sensory Systems 99
  • Cancer Research 242
  • Aging 20
Replace Derk Frank with:
Derk Frank Germany
Chuanxi Cai United States
M. C. Capogrossi Italy
Hae W. Lim United States
Sebastian Albinsson Sweden
Vladimir P. Shirinsky Russia
Tobias G. Schips United States
Chunping Qiao United States
Hadi Khalil United States
RA Panettieri United States
Federica Accornero relative to Derk Frank Germany Derk Frank's profile →
Citations per field
00.5×1.5×
Derk Frank · 1×
Citations per year

Countries citing papers authored by Federica Accornero

Since Specialization
Citations

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

Fields of papers citing papers by Federica Accornero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202220
4 20226
5 202211
6 202114
7 2021109
8 202058
9 202030
10 201959
11 201918
12 201917
13 201827
14 201727
15 201639
16 201460
17 201446
18 2010197
19 200845
20 200714

About Federica Accornero

Federica Accornero is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (17 papers), Muscle Physiology and Disorders (9 papers), RNA and protein synthesis mechanisms (9 papers), Cardiac Fibrosis and Remodeling (9 papers), Cardiomyopathy and Myosin Studies (8 papers), Signaling Pathways in Disease (6 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (659 citations), Molecular Biology (1.5k citations) and Sensory Systems (99 citations). Federica Accornero has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Jeffery D. Molkentin, Lisa E. Dorn, Jop H. van Berlo, Jennifer M. Petrosino, John N. Lorenz, Xianyao Xu, Thomas J. Hund, Mario Medvedovic, Izhak Kehat and Lior Lasman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

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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