Massimo Breccia
Impact in
- Hematology top 0.1%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 348
- Chronic Myeloid Leukemia Treatments 218
- Acute Myeloid Leukemia Research 153
- Genetics 257
- Chronic Lymphocytic Leukemia Research 166
- Myeloproliferative Neoplasms: Diagnosis and Treatment 83
- Hemoglobinopathies and Related Disorders 24
- Co-authors
- Giuliana AlimenaRoberto LatagliataFrancesco Lo‐CocoMatteo MolicaFranco MandelliIda CarmosinoDaniela DiverioMichele Baccarani
- Journals
- Blood (64 papers)Leukemia Research (34 papers)Annals of Hematology (32 papers)British Journal of Haematology (17 papers)Leukemia (15 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Massimo Breccia
381 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Hematology 4.1k
- Genetics 2.6k
- Rheumatology 1.1k
- Oncology 942
- Biochemistry 206
Countries citing papers authored by Massimo Breccia
This map shows the geographic impact of Massimo Breccia'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 Massimo Breccia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Breccia more than expected).
Fields of papers citing papers by Massimo Breccia
This network shows the impact of papers produced by Massimo Breccia. 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 Massimo Breccia. The network helps show where Massimo Breccia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Breccia, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 10 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 62 | |
| 16 | 2013 | 1 | |
| 17 | 2010 | 9 | |
| 18 | 2009 | 10 | |
| 19 | 2002 | 18 | |
| 20 | 2002 | 21 |
About Massimo Breccia
Massimo Breccia is a scholar working on Hematology, Genetics, Rheumatology, Biochemistry and Oncology, having authored 403 papers that have together received 5.6k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (218 papers), Chronic Lymphocytic Leukemia Research (166 papers), Acute Myeloid Leukemia Research (153 papers), Eosinophilic Disorders and Syndromes (107 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (83 papers), Retinoids in leukemia and cellular processes (51 papers), Acute Lymphoblastic Leukemia research (40 papers) and Hemoglobinopathies and Related Disorders (24 papers). The work is most often cited by research in Hematology (4.1k citations), Genetics (2.6k citations), Rheumatology (1.1k citations), Oncology (942 citations) and Biochemistry (206 citations). Massimo Breccia has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giuliana Alimena, Roberto Latagliata, Francesco Lo‐Coco, Matteo Molica, Franco Mandelli, Ida Carmosino, Daniela Diverio, Michele Baccarani, Gianantonio Rosti and Robin Foà. Their work appears in journals such as Blood, Leukemia Research, Annals of Hematology, British Journal of Haematology and Leukemia.
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.