Martina Ferrante
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 14
- Chronic Lymphocytic Leukemia Research 14
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- Lymphoma Diagnosis and Treatment 15
- Co-authors
- Alessandra Ariaudo (1 shared paper)Chiara Carcieri (1 shared paper)Stefano Bonora (1 shared paper)Fabio Favata (1 shared paper)Amedeo De Nicolò (1 shared paper)Marco Simiele (1 shared paper)Giovanni Di Perri (1 shared paper)Antonio D'Avolio (1 shared paper)
- Journals
- HemaSphere (5 papers)Hematological Oncology (3 papers)Haematologica (2 papers)Blood Advances (2 papers)Current Treatment Options in Oncology (1 paper)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Martina Ferrante
22 papers receiving 304 citations
Peers
Comparison fields: 5 of 44
- Genetics 140
- Pathology and Forensic Medicine 172
- Hematology 42
- Cancer Research 41
- Oncology 67
Countries citing papers authored by Martina Ferrante
This map shows the geographic impact of Martina Ferrante'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 Martina Ferrante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Ferrante more than expected).
Fields of papers citing papers by Martina Ferrante
This network shows the impact of papers produced by Martina Ferrante. 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 Martina Ferrante. The network helps show where Martina Ferrante may publish in the future.
Co-authors
The 25 scholars most cited alongside Martina Ferrante, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 68 | |
| 2 | 2017 | 45 | |
| 3 | 2020 | 40 | |
| 4 | 2022 | 31 | |
| 5 | 2022 | 26 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 1999 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2020 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2022 | 2 |
About Martina Ferrante
Martina Ferrante is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Cancer Research and Epidemiology, having authored 23 papers that have together received 308 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (14 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Cancer Genomics and Diagnostics (3 papers), Viral-associated cancers and disorders (2 papers), Multiple and Secondary Primary Cancers (1 paper), Acute Myeloid Leukemia Research (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Genetics (140 citations), Pathology and Forensic Medicine (172 citations), Hematology (42 citations), Cancer Research (41 citations) and Oncology (67 citations). Martina Ferrante has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Alessandra Ariaudo, Chiara Carcieri, Stefano Bonora, Fabio Favata, Amedeo De Nicolò, Marco Simiele, Giovanni Di Perri, Antonio D'Avolio, Simone Ferrero and Daniela Drandi. Their work appears in journals such as HemaSphere, Hematological Oncology, Haematologica, Blood Advances and Current Treatment Options 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.