G. Robustelli della Cuna
- Oncology top 5%
- Immunology top 5%
- Hematology top 2%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Paolo PedrazzoliBarbara OlivieroNadia GibelliFrancesco FagnoniGian Antonio Da PradaRosanna VescoviniPaolo SansoniCarlo Zibera
- Topics
- Hematopoietic Stem Cell Transplantation (21 papers)Cancer Treatment and Pharmacology (20 papers)Estrogen and related hormone effects (17 papers)
- Cited by
- HematologyImmunologyOncology
- Journals
- BloodThe Journal of ImmunologyCancer
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
G. Robustelli della Cuna
89 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Oncology 751
- Immunology 606
- Hematology 598
- Molecular Biology 351
- Genetics 239
Countries citing papers authored by G. Robustelli della Cuna
This map shows the geographic impact of G. Robustelli della Cuna'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 G. Robustelli della Cuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Robustelli della Cuna more than expected).
Fields of papers citing papers by G. Robustelli della Cuna
This network shows the impact of papers produced by G. Robustelli della Cuna. 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 G. Robustelli della Cuna. The network helps show where G. Robustelli della Cuna may publish in the future.
Co-authorship network of co-authors of G. Robustelli della Cuna
This figure shows the co-authorship network connecting the top 25 collaborators of G. Robustelli della Cuna. A scholar is included among the top collaborators of G. Robustelli della Cuna 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 G. Robustelli della Cuna. G. Robustelli della Cuna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 31 | |
| 3 | 33 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 22 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 30 | |
| 11 | 16 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 18 | |
| 15 | Antiproliferative effect of leuprorelin acetate, alone or combined with tamoxifen or medroxyprogesterone acetate, on human breast cancer cell lines. | 5 |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 41 | |
| 20 | 12 |
About G. Robustelli della Cuna
G. Robustelli della Cuna is a scholar working on Hematology, Oncology and Genetics, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (21 papers), Cancer Treatment and Pharmacology (20 papers) and Estrogen and related hormone effects (17 papers). The work is most often cited by research in Hematology (598 citations), Immunology (606 citations) and Oncology (751 citations). G. Robustelli della Cuna has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Paolo Pedrazzoli, Barbara Oliviero, Nadia Gibelli, Francesco Fagnoni, Gian Antonio Da Prada, Rosanna Vescovini, Paolo Sansoni, Carlo Zibera, Francesco Bertolini and A Lanza. Their work appears in journals such as Blood, The Journal of Immunology and Cancer.
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.