Federica Limana
- Molecular Biology top 1%
- Surgery top 0.5%
- Genetics top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Biomaterials top 0.5%
- Co-authors
- Piero AnversaJan KajsturaAnnarosa LeriBernardo Nadal‐GinardStefano ChimentiKonrad UrbanekMarcello RotaDaniele Torella
- Topics
- Tissue Engineering and Regenerative Medicine (14 papers)Congenital heart defects research (13 papers)Cardiac Fibrosis and Remodeling (10 papers)
- Cited by
- GeneticsBiomaterialsSurgery
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Federica Limana
39 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 4.4k
- Surgery 3.6k
- Genetics 2.2k
- Cardiology and Cardiovascular Medicine 1.7k
- Biomaterials 1.3k
Countries citing papers authored by Federica Limana
This map shows the geographic impact of Federica Limana'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 Limana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Limana more than expected).
Fields of papers citing papers by Federica Limana
This network shows the impact of papers produced by Federica Limana. 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 Limana. The network helps show where Federica Limana may publish in the future.
Co-authorship network of co-authors of Federica Limana
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Limana. A scholar is included among the top collaborators of Federica Limana 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 Limana. Federica Limana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 26 | |
| 7 | 28 | |
| 8 | 1 | |
| 9 | 48 | |
| 10 | Abstract 18962: The Epithelial-Mesenchymal Master Regulator Zeb1 Orchestrates the Cardiac Determinant Transcription Factor Castor Zinc Finger Protein 1 (casz1) Expression and Function in Heart Regeneration | 1 |
| 11 | 280 | |
| 12 | 22 | |
| 13 | 21 | |
| 14 | 25 | |
| 15 | 98 | |
| 16 | Circulating microRNAs are new and sensitive biomarkers of myocardial infarctionbreakdown → | 656 |
| 17 | 109 | |
| 18 | 11 | |
| 19 | 20 | |
| 20 | 56 |
About Federica Limana
Federica Limana is a scholar working on Clinical Biochemistry, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 39 papers that have together received 7.6k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (14 papers), Congenital heart defects research (13 papers) and Cardiac Fibrosis and Remodeling (10 papers). The work is most often cited by research in Genetics (2.2k citations), Biomaterials (1.3k citations) and Surgery (3.6k citations). Federica Limana has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Piero Anversa, Jan Kajstura, Annarosa Leri, Bernardo Nadal‐Ginard, Stefano Chimenti, Konrad Urbanek, Marcello Rota, Daniele Torella, Ezio Musso and Federico Quaini. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.
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.