Dario Ferrero
- Hematology top 1%
- Molecular Biology top 10%
- Genetics top 2%
- Oncology top 5%
- Immunology top 10%
- Co-authors
- Corrado TarellaEugenio GalloRiccardo Dalla‐FaveraG RoveraFrancis W. RuscettiAlessandro PileriGiovanni Luca PagliardiStephanie Seremetis
- Topics
- Acute Myeloid Leukemia Research (40 papers)Hematopoietic Stem Cell Transplantation (18 papers)Chronic Lymphocytic Leukemia Research (15 papers)
- Cited by
- HematologyGeneticsOncology
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Dario Ferrero
90 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Hematology 1.0k
- Molecular Biology 872
- Genetics 488
- Oncology 472
- Immunology 338
Countries citing papers authored by Dario Ferrero
This map shows the geographic impact of Dario Ferrero'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 Dario Ferrero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario Ferrero more than expected).
Fields of papers citing papers by Dario Ferrero
This network shows the impact of papers produced by Dario Ferrero. 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 Dario Ferrero. The network helps show where Dario Ferrero may publish in the future.
Co-authorship network of co-authors of Dario Ferrero
This figure shows the co-authorship network connecting the top 25 collaborators of Dario Ferrero. A scholar is included among the top collaborators of Dario Ferrero 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 Dario Ferrero. Dario Ferrero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 29 | |
| 7 | DROPLED DIGITAL PCR MAY HAVE A PROGNOSTIC VALUE FOR PREDICTING RELAPSE AFTER IMATINIB DISCONTINUATION | 0 |
| 8 | IMATINIB DISCONTINUATION IN CHRONIC MYELOID LEUKEMIA: A RETROSPECTIVE ANALYSIS ON PATIENTS IN CLINICAL PRACTICE | 1 |
| 9 | 20 | |
| 10 | 39 | |
| 11 | 36 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 67 | |
| 17 | 145 | |
| 18 | Monoclonal antibody purging and autologous bone marrow transplantation in acute myelogenous leukemia in complete remission. | 6 |
| 19 | Monoclonal antibody purging and autologous bone marrow transplantation in acute myelogenous leukemia in complete remission. | 23 |
| 20 | Terminal differentiation of the human promyelocytic leukemia cell line, HL-60, in the absence of cell proliferation. | 49 |
About Dario Ferrero
Dario Ferrero is a scholar working on Hematology, Genetics and Immunology, having authored 92 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (40 papers), Hematopoietic Stem Cell Transplantation (18 papers) and Chronic Lymphocytic Leukemia Research (15 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (488 citations) and Oncology (472 citations). Dario Ferrero has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Corrado Tarella, Eugenio Gallo, Riccardo Dalla‐Favera, G Rovera, Francis W. Ruscetti, Alessandro Pileri, Giovanni Luca Pagliardi, Stephanie Seremetis, Silvana Pessano and Lisabianca Bottero. Their work appears in journals such as Nature, Science 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.