Federico Mosna
- Genetics top 1%
- Molecular Biology
- Surgery top 10%
- Hematology top 5%
- Immunology
- Co-authors
- Mauro KramperaLuc SensebéGiovanni PizzoloVeronica LisiAnnarosa LeriJan KajsturaA AndreiniAnnalisa Pasini
- Topics
- Mesenchymal stem cell research (10 papers)Acute Myeloid Leukemia Research (8 papers)Tissue Engineering and Regenerative Medicine (7 papers)
- Journals
- CirculationBloodCirculation Research
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Federico Mosna
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 76
- Genetics 721
- Molecular Biology 537
- Surgery 477
- Hematology 231
- Immunology 209
Countries citing papers authored by Federico Mosna
This map shows the geographic impact of Federico Mosna'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 Federico Mosna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Mosna more than expected).
Fields of papers citing papers by Federico Mosna
This network shows the impact of papers produced by Federico Mosna. 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 Federico Mosna. The network helps show where Federico Mosna may publish in the future.
Co-authorship network of co-authors of Federico Mosna
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Mosna. A scholar is included among the top collaborators of Federico Mosna 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 Federico Mosna. Federico Mosna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 15 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 8 | |
| 6 | 30 | |
| 7 | 45 | |
| 8 | 173 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 175 | |
| 12 | 15 | |
| 13 | 244 | |
| 14 | 96 | |
| 15 | 8 | |
| 16 | Notch-3 and Notch-4 signaling rescues from apoptosis Human B-lineage Acute Lymphoblastic Leukemia cells in contact with Human Bone marrow-derived Mesenchymal Stromal Cells | 2 |
| 17 | 98 | |
| 18 | Abstract 730: Identification and Characterization of Cardiac Stem Cells in the Pig Heart | 1 |
| 19 | Abstract 1267: Intracoronary Administration of Cardiac Stem Cells Improves Cardiac Function in Pigs with Old Infarction | 4 |
| 20 | 186 |
About Federico Mosna
Federico Mosna is a scholar working on Genetics, Hematology and Immunology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), Acute Myeloid Leukemia Research (8 papers) and Tissue Engineering and Regenerative Medicine (7 papers). The work is most often cited by research in Genetics (721 citations), Hematology (231 citations) and Developmental Neuroscience (62 citations). Federico Mosna has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Mauro Krampera, Luc Sensebé, Giovanni Pizzolo, Veronica Lisi, Annarosa Leri, Jan Kajstura, A Andreini, Annalisa Pasini, Bruno Bonetti and Alessandra Micheletti. Their work appears in journals such as Circulation, Blood and Circulation Research.
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.