Luca Bertamini
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
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- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
- Cancer Treatment and Pharmacology
Papers in
- Hematology 15
- Multiple Myeloma Research and Treatments 10
- Acute Myeloid Leukemia Research 7
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- Protein Degradation and Inhibitors 7
- Cancer therapeutics and mechanisms 2
- Co-authors
- Francesca Gay (7 shared papers)Mattia D’Agostino (4 shared papers)Mario Boccadoro (5 shared papers)Stefania Oliva (2 shared papers)Stefania Oliva (1 shared paper)Michèle Cavo (5 shared papers)Giovanni De Sabbata (2 shared papers)Renato Zambello (2 shared papers)
- Journals
- Blood (4 papers)Journal of Clinical Oncology (2 papers)GeroScience (1 paper)Cancers (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
Luca Bertamini
15 papers receiving 175 citations
Peers
Comparison fields: 5 of 28
- Hematology 148
- Oncology 94
- Molecular Biology 124
- Genetics 15
- Transplantation 2
Countries citing papers authored by Luca Bertamini
This map shows the geographic impact of Luca Bertamini'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 Luca Bertamini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Bertamini more than expected).
Fields of papers citing papers by Luca Bertamini
This network shows the impact of papers produced by Luca Bertamini. 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 Luca Bertamini. The network helps show where Luca Bertamini may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Bertamini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 35 | |
| 2 | 2020 | 32 | |
| 3 | 2019 | 25 | |
| 4 | 2021 | 19 | |
| 5 | 2018 | 16 | |
| 6 | 2022 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2017 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 1 |
About Luca Bertamini
Luca Bertamini is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 175 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Protein Degradation and Inhibitors (7 papers), Acute Myeloid Leukemia Research (7 papers), Peptidase Inhibition and Analysis (3 papers), Cancer Treatment and Pharmacology (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cancer therapeutics and mechanisms (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (148 citations), Oncology (94 citations), Molecular Biology (124 citations), Genetics (15 citations) and Transplantation (2 citations). Luca Bertamini has collaborated with scholars based in Italy and United States. Frequent co-authors include Francesca Gay, Mattia D’Agostino, Mario Boccadoro, Stefania Oliva, Stefania Oliva, Michèle Cavo, Giovanni De Sabbata, Renato Zambello, Andréa Capra and Giuseppe Pietrantuono. Their work appears in journals such as Blood, Journal of Clinical Oncology, GeroScience, Cancers and Frontiers in Oncology.
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.