Roberto Marasca
Impact in
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
- Hematology top 1%
Papers in
- Co-authors
- Mario Luppi (76 shared papers)Giuseppe Torelli (43 shared papers)Patrizia Barozzi (41 shared papers)Rossana Maffei (40 shared papers)Stefania Fiorcari (29 shared papers)Leonardo Potenza (32 shared papers)Raffaella Trovato (11 shared papers)Luca Ceccherini‐Nelli (9 shared papers)
- Journals
- Blood (26 papers)British Journal of Haematology (8 papers)Haematologica (6 papers)Leukemia Research (5 papers)Hematological Oncology (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Roberto Marasca
125 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 108
- Genetics 1.3k
- Hematology 766
- Pathology and Forensic Medicine 1.0k
- Oncology 1.5k
- Hepatology 375
Countries citing papers authored by Roberto Marasca
This map shows the geographic impact of Roberto Marasca'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 Marasca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Marasca more than expected).
Fields of papers citing papers by Roberto Marasca
This network shows the impact of papers produced by Roberto Marasca. 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 Marasca. The network helps show where Roberto Marasca may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Marasca, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 191 | |
| 2 | 2016 | 185 | |
| 3 | 2000 | 159 | |
| 4 | 2011 | 122 | |
| 5 | 1991 | 120 | |
| 6 | 1993 | 118 | |
| 7 | 1996 | 115 | |
| 8 | 2001 | 115 | |
| 9 | 1998 | 111 | |
| 10 | Hepatitis C virus infection in subsets of neoplastic lymphoproliferations not associated with cryoglobulinemia. | 1996 | 106 |
| 11 | 1999 | 95 | |
| 12 | 2013 | 93 | |
| 13 | 1998 | 92 | |
| 14 | 1996 | 92 | |
| 15 | 1993 | 90 | |
| 16 | 2016 | 82 | |
| 17 | 1995 | 78 | |
| 18 | 2002 | 78 | |
| 19 | 2013 | 75 | |
| 20 | 1996 | 74 |
About Roberto Marasca
Roberto Marasca is a scholar working on Genetics, Oncology, Hematology, Pathology and Forensic Medicine and Molecular Biology, having authored 130 papers that have together received 4.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (65 papers), Lymphoma Diagnosis and Treatment (31 papers), Viral-associated cancers and disorders (24 papers), Chronic Myeloid Leukemia Treatments (17 papers), Acute Myeloid Leukemia Research (16 papers), Cytomegalovirus and herpesvirus research (14 papers), Immunodeficiency and Autoimmune Disorders (9 papers) and Polyomavirus and related diseases (7 papers). The work is most often cited by research in Genetics (1.3k citations), Hematology (766 citations), Pathology and Forensic Medicine (1.0k citations), Oncology (1.5k citations) and Hepatology (375 citations). Roberto Marasca has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Mario Luppi, Giuseppe Torelli, Patrizia Barozzi, Rossana Maffei, Stefania Fiorcari, Leonardo Potenza, Raffaella Trovato, Luca Ceccherini‐Nelli, Antonino Maiorana and Franco Narni. Their work appears in journals such as Blood, British Journal of Haematology, Haematologica, Leukemia Research and Hematological 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.