Mario Boccadoro
- Hematology top 0.02%
- Molecular Biology top 0.5%
- Oncology top 0.1%
- Immunology top 0.5%
- Genetics top 0.2%
- Co-authors
- Alessandro PileriAntonio PalumboPaolo CorradiniPieter SonneveldMassimo MassaiaJesús F. San MiguelMarco LadettoJoan Bladé
- Topics
- Multiple Myeloma Research and Treatments (345 papers)Protein Degradation and Inhibitors (118 papers)Cancer Treatment and Pharmacology (98 papers)
- Cited by
- HematologyOncologyGenetics
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Mario Boccadoro
461 papers receiving 15.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Hematology 10.9k
- Molecular Biology 8.3k
- Oncology 7.4k
- Immunology 2.5k
- Genetics 2.2k
Countries citing papers authored by Mario Boccadoro
This map shows the geographic impact of Mario Boccadoro'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 Mario Boccadoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Boccadoro more than expected).
Fields of papers citing papers by Mario Boccadoro
This network shows the impact of papers produced by Mario Boccadoro. 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 Mario Boccadoro. The network helps show where Mario Boccadoro may publish in the future.
Co-authorship network of co-authors of Mario Boccadoro
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Boccadoro. A scholar is included among the top collaborators of Mario Boccadoro 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 Mario Boccadoro. Mario Boccadoro 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 | 9 | |
| 3 | 1 | |
| 4 | 46 | |
| 5 | 8 | |
| 6 | 38 | |
| 7 | 13 | |
| 8 | 38 | |
| 9 | 25 | |
| 10 | 30 | |
| 11 | 30 | |
| 12 | 66 | |
| 13 | 181 | |
| 14 | 46 | |
| 15 | 250 | |
| 16 | 137 | |
| 17 | 20 | |
| 18 | Management of multiple myeloma and related-disorders: guidelines from the Italian Society of Hematology (SIE), Italian Society of Experimental Hematology (SIES) and Italian Group for Bone Marrow Transplantation (GITMO). | 57 |
| 19 | 9 | |
| 20 | Allogenic stem cell transplantation following non-myeloablative conditioning regimens as adoptive immunotherapy in patients with hematological malignancies. | 1 |
About Mario Boccadoro
Mario Boccadoro is a scholar working on Hematology, Oncology and Genetics, having authored 479 papers that have together received 15.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (345 papers), Protein Degradation and Inhibitors (118 papers) and Cancer Treatment and Pharmacology (98 papers). The work is most often cited by research in Hematology (10.9k citations), Oncology (7.4k citations) and Genetics (2.2k citations). Mario Boccadoro has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Alessandro Pileri, Antonio Palumbo, Paolo Corradini, Pieter Sonneveld, Antonio Palumbo, Massimo Massaia, Jesús F. San Miguel, Marco Ladetto, Joan Bladé and Heinz Ludwig. Their work appears in journals such as Nature, New England Journal of Medicine 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.