Francesca Ferraro
- Hematology top 0.5%
- Genetics top 0.5%
- Molecular Biology top 5%
- Immunology top 2%
- Oncology top 5%
- Co-authors
- David T. ScaddenPaul S. FrenetteSimón Méndez‐FerrerGrigori EnikolopovAmin R. MazloomBen D. MacArthurTatyana V. MichurinaSérgio A. Lira
- Topics
- Hematopoietic Stem Cell Transplantation (13 papers)Mesenchymal stem cell research (7 papers)Acute Myeloid Leukemia Research (5 papers)
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Francesca Ferraro
33 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Hematology 2.0k
- Genetics 1.7k
- Molecular Biology 1.7k
- Immunology 1.1k
- Oncology 954
Countries citing papers authored by Francesca Ferraro
This map shows the geographic impact of Francesca Ferraro'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 Francesca Ferraro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Ferraro more than expected).
Fields of papers citing papers by Francesca Ferraro
This network shows the impact of papers produced by Francesca Ferraro. 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 Francesca Ferraro. The network helps show where Francesca Ferraro may publish in the future.
Co-authorship network of co-authors of Francesca Ferraro
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Ferraro. A scholar is included among the top collaborators of Francesca Ferraro 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 Francesca Ferraro. Francesca Ferraro 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 | 1 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 17 | |
| 6 | 16 | |
| 7 | 63 | |
| 8 | 38 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | Direct measurement of local oxygen concentration in the bone marrow of live animalsbreakdown → | 876 |
| 12 | Akt/foxo signaling pathway enforces the differentiation blockade in myeloid leukemias | 1 |
| 13 | 217 | |
| 14 | 120 | |
| 15 | 73 | |
| 16 | Mesenchymal and haematopoietic stem cells form a unique bone marrow nichebreakdown → | 2520 |
| 17 | 103 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 19 |
About Francesca Ferraro
Francesca Ferraro is a scholar working on Hematology, Genetics and Immunology, having authored 34 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Mesenchymal stem cell research (7 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Hematology (2.0k citations), Genetics (1.7k citations) and Immunology (1.1k citations). Francesca Ferraro has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include David T. Scadden, Paul S. Frenette, Simón Méndez‐Ferrer, Grigori Enikolopov, Amin R. Mazloom, Ben D. MacArthur, Tatyana V. Michurina, Sérgio A. Lira, Avi Ma’ayan and Charles P. Lin. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.