G Broccia
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 20
- Acute Myeloid Leukemia Research 15
- Hematopoietic Stem Cell Transplantation 5
- Chronic Myeloid Leukemia Treatments 4
- Genetics 11
- Chronic Lymphocytic Leukemia Research 10
- Co-authors
- M CarotenutoWilliam ArcesePaola SaraccoAndrea BacigalupoFrancesco LocatelliG CordaPG MoriG Todeschini
- Journals
- Hematological Oncology (2 papers)Blood (2 papers)Scientific Reports (1 paper)BMJ Open (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- ItalyUnited KingdomTürkiye
In The Last Decade
G Broccia
39 papers receiving 890 citations
Peers
Comparison fields: 5 of 63
- Hematology 695
- Genetics 243
- Oncology 212
- Immunology 120
- Emergency Medicine 49
Countries citing papers authored by G Broccia
This map shows the geographic impact of G Broccia'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 Broccia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Broccia more than expected).
Fields of papers citing papers by G Broccia
This network shows the impact of papers produced by G Broccia. 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 Broccia. The network helps show where G Broccia may publish in the future.
Co-authors
The 25 scholars most cited alongside G Broccia, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 4 | |
| 8 | 2014 | 8 | |
| 9 | 2007 | 33 | |
| 10 | 2004 | 14 | |
| 11 | 2003 | 47 | |
| 12 | 1999 | 20 | |
| 13 | 1995 | 170 | |
| 14 | Cholesterol metabolism in normal and neoplastic cell proliferation | 1991 | 4 |
| 15 | Total and HDL cholesterol in human hematologic neoplasms. | 1991 | 27 |
| 16 | 1990 | 2 | |
| 17 | 1989 | 19 | |
| 18 | 1989 | 16 | |
| 19 | 1984 | 15 | |
| 20 | [Estrogen therapy of advanced breast cancer]. | 1977 | 5 |
About G Broccia
G Broccia is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine and Oncology, having authored 39 papers that have together received 931 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Acute Lymphoblastic Leukemia research (13 papers), Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (8 papers), Hematopoietic Stem Cell Transplantation (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Neonatal Health and Biochemistry (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Hematology (695 citations), Genetics (243 citations), Oncology (212 citations), Immunology (120 citations) and Emergency Medicine (49 citations). G Broccia has collaborated with scholars based in Italy, United Kingdom and Türkiye. Frequent co-authors include M Carotenuto, William Arcese, Paola Saracco, Andrea Bacigalupo, Francesco Locatelli, G Corda, PG Mori, G Todeschini, Andrea Gallamini and P Coser. Their work appears in journals such as Hematological Oncology, Blood, Scientific Reports, BMJ Open and British Journal of Haematology.
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.