F Gavosto
- Hematology top 1%
- Molecular Biology
- Oncology top 10%
- Genetics top 2%
- Immunology top 10%
- Co-authors
- Alessandro PileriMassimo AgliettaGiovanni MarainiLuigi PegoraroWanda PiacibelloV. GabuttiAlessandra StacchiniGiovanni Camussi
- Topics
- Acute Myeloid Leukemia Research (18 papers)Chronic Myeloid Leukemia Treatments (18 papers)Acute Lymphoblastic Leukemia research (18 papers)
- Cited by
- HematologyGeneticsImmunology
In The Last Decade
F Gavosto
101 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Hematology 829
- Molecular Biology 402
- Oncology 401
- Genetics 365
- Immunology 339
Countries citing papers authored by F Gavosto
This map shows the geographic impact of F Gavosto'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 F Gavosto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Gavosto more than expected).
Fields of papers citing papers by F Gavosto
This network shows the impact of papers produced by F Gavosto. 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 F Gavosto. The network helps show where F Gavosto may publish in the future.
Co-authorship network of co-authors of F Gavosto
This figure shows the co-authorship network connecting the top 25 collaborators of F Gavosto. A scholar is included among the top collaborators of F Gavosto 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 F Gavosto. F Gavosto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | Interleukin 2 (IL2) in the management of acute myeloid leukemia: clinical and biological findings. | 3 |
| 4 | 25 | |
| 5 | 4 | |
| 6 | 41 | |
| 7 | 33 | |
| 8 | 106 | |
| 9 | 1 | |
| 10 | 49 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | Normal and leukaemic granulopoiesis. | 4 |
| 14 | The kinetic features of human acute leukaemia as a guide to its chemotherapeutic management. | 1 |
| 15 | 7 | |
| 16 | [Proliferative capacity in acute leukemia after treatment with antiblastics]. | 2 |
| 17 | [Correlation between purine metabolism of RNA and protein metabolism in the elements of normal human bone marrow]. | 1 |
| 18 | [CHROMOSOME ABNORMALITY IN A CASE OF ACUTE LEUKEMIA WITH MEDULLARY APLASIA]. | 1 |
| 19 | 10 | |
| 20 | [Practical results of use of triethylenemelamine in neoplastic diseases. III. Lymphosarcoma and reticulosarcoma]. | 1 |
About F Gavosto
F Gavosto is a scholar working on Hematology, Genetics and Immunology, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (18 papers) and Acute Lymphoblastic Leukemia research (18 papers). The work is most often cited by research in Hematology (829 citations), Genetics (365 citations) and Immunology (339 citations). F Gavosto has collaborated with scholars based in Italy, Belarus and Belgium. Frequent co-authors include Alessandro Pileri, Massimo Aglietta, Giovanni Maraini, Luigi Pegoraro, Wanda Piacibello, V. Gabutti, Alessandra Stacchini, Giovanni Camussi, F Sanavio and A Brusca. Their work appears in journals such as Nature, The Lancet and Journal of Clinical Investigation.
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.