Roberto Mina
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
- Cancer Treatment and Pharmacology
Papers in
- Hematology 45
- Multiple Myeloma Research and Treatments 45
- Chronic Myeloid Leukemia Treatments 3
- Oncology 25
- Peptidase Inhibition and Analysis 14
- Cancer Treatment and Pharmacology 8
- CAR-T cell therapy research 4
- Co-authors
- Antonio Palumbo (15 shared papers)Francesca Gay (18 shared papers)Mario Boccadoro (19 shared papers)Sara Bringhen (11 shared papers)Sagar Lonial (5 shared papers)Alessandra Larocca (9 shared papers)Francesca Bonello (5 shared papers)Chiara Cerrato (4 shared papers)
- Journals
- Blood (7 papers)Journal of Clinical Oncology (4 papers)The Lancet Haematology (3 papers)HemaSphere (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Roberto Mina
47 papers receiving 669 citations
Peers
Comparison fields: 5 of 48
- Hematology 532
- Oncology 311
- Genetics 69
- Molecular Biology 410
- Geriatrics and Gerontology 7
Countries citing papers authored by Roberto Mina
This map shows the geographic impact of Roberto Mina'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 Roberto Mina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Mina more than expected).
Fields of papers citing papers by Roberto Mina
This network shows the impact of papers produced by Roberto Mina. 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 Roberto Mina. The network helps show where Roberto Mina may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Mina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 67 | |
| 2 | 2013 | 60 | |
| 3 | 2019 | 47 | |
| 4 | 2019 | 38 | |
| 5 | 2019 | 38 | |
| 6 | 2017 | 37 | |
| 7 | 2018 | 35 | |
| 8 | 2018 | 34 | |
| 9 | 2016 | 31 | |
| 10 | 2023 | 27 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2022 | 17 | |
| 15 | 2013 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2024 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2015 | 13 | |
| 20 | 2022 | 12 |
About Roberto Mina
Roberto Mina is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 682 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (45 papers), Protein Degradation and Inhibitors (16 papers), Peptidase Inhibition and Analysis (14 papers), Cancer Treatment and Pharmacology (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), CAR-T cell therapy research (4 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (532 citations), Oncology (311 citations), Genetics (69 citations), Molecular Biology (410 citations) and Geriatrics and Gerontology (7 citations). Roberto Mina has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Antonio Palumbo, Francesca Gay, Mario Boccadoro, Sara Bringhen, Sagar Lonial, Alessandra Larocca, Francesca Bonello, Chiara Cerrato, Mattia D’Agostino and Stefania Oliva. Their work appears in journals such as Blood, Journal of Clinical Oncology, The Lancet Haematology, HemaSphere 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.