Stefano Ferrari
- Molecular Biology top 5%
- Genetics top 0.5%
- Surgery top 5%
- Oncology top 5%
- Hematology top 2%
- Co-authors
- Enrico TagliaficoPaolo BiancoBenedetto SacchettiIsabella SaggioStefania PiersantiPamela Gehron RobeySilvia Di CesareStefano Michienzi
- Topics
- RNA and protein synthesis mechanisms (11 papers)Muscle Physiology and Disorders (5 papers)RNA modifications and cancer (5 papers)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Stefano Ferrari
30 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.7k
- Genetics 1.6k
- Surgery 865
- Oncology 522
- Hematology 522
Countries citing papers authored by Stefano Ferrari
This map shows the geographic impact of Stefano Ferrari'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 Stefano Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Ferrari more than expected).
Fields of papers citing papers by Stefano Ferrari
This network shows the impact of papers produced by Stefano Ferrari. 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 Stefano Ferrari. The network helps show where Stefano Ferrari may publish in the future.
Co-authorship network of co-authors of Stefano Ferrari
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Ferrari. A scholar is included among the top collaborators of Stefano Ferrari 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 Stefano Ferrari. Stefano Ferrari 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 | 29 | |
| 3 | 351 | |
| 4 | 52 | |
| 5 | Self-Renewing Osteoprogenitors in Bone Marrow Sinusoids Can Organize a Hematopoietic Microenvironmentbreakdown → | 1678 |
| 6 | Pericytes of human skeletal muscle are myogenic precursors distinct from satellite cellsbreakdown → | 741 |
| 7 | 113 | |
| 8 | 26 | |
| 9 | 11 | |
| 10 | 68 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 66 | |
| 14 | 14 | |
| 15 | 10 | |
| 16 | 20 | |
| 17 | 11 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | Immunological assay of double-helical segments in RNA fractions of different molecular size extracted from acute myeloid leukemia blast cells. | 0 |
About Stefano Ferrari
Stefano Ferrari is a scholar working on Genetics, Molecular Biology and Hematology, having authored 32 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Muscle Physiology and Disorders (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Genetics (1.6k citations), Hematology (522 citations) and Reproductive Medicine (321 citations). Stefano Ferrari has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Enrico Tagliafico, Paolo Bianco, Benedetto Sacchetti, Isabella Saggio, Stefania Piersanti, Pamela Gehron Robey, Silvia Di Cesare, Stefano Michienzi, Alessia Funari and Mara Riminucci. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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.