Federica Accornero
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 10%
- Surgery
- Immunology
- Co-authors
- Jeffery D. MolkentinLisa E. DornJop H. van BerloJennifer M. PetrosinoJohn N. LorenzXianyao XuThomas J. HundMario Medvedovic
- Topics
- RNA modifications and cancer (17 papers)Muscle Physiology and Disorders (9 papers)RNA and protein synthesis mechanisms (9 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- United StatesItalyGermany
In The Last Decade
Federica Accornero
56 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.5k
- Cardiology and Cardiovascular Medicine 659
- Cancer Research 242
- Surgery 240
- Immunology 160
Countries citing papers authored by Federica Accornero
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
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 of co-authors of Federica Accornero
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Accornero. A scholar is included among the top collaborators of Federica Accornero 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 Federica Accornero. Federica Accornero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 20 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 109 | |
| 8 | 58 | |
| 9 | 30 | |
| 10 | 59 | |
| 11 | 18 | |
| 12 | 17 | |
| 13 | 27 | |
| 14 | 27 | |
| 15 | 39 | |
| 16 | 60 | |
| 17 | 46 | |
| 18 | 197 | |
| 19 | 45 | |
| 20 | 14 |
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) and RNA and protein synthesis mechanisms (9 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.