Roberto Marasca

13.8k citations
289 papers · 11.3k · h-index 57

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 144
    • Chronic Myeloid Leukemia Treatments 42
    • Acute Myeloid Leukemia Research 29
    • Multiple Myeloma Research and Treatments 24

Roberto Marasca

277 papers receiving 11.0k citations

Peers

Roberto Marasca
Comparison fields: 5 of 136
  • Genetics 5.3k
  • Pathology and Forensic Medicine 4.1k
  • Hematology 2.4k
  • Oncology 3.3k
  • Immunology 2.4k
Replace Renato Zambello with:
Renato Zambello Italy
Marco Paulli Italy
Véronique Leblond France
Ioannis Anagnostopoulos Germany
Won Seog Kim South Korea
Marinus H. J. van Oers Netherlands
Bruno R. Varet France
Koen van Besien United States
Georg Heß Germany
Emilio Berti Italy
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Citations per field
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Citations per year

Countries citing papers authored by Roberto Marasca

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Roberto Marasca Line = papers co-authored together Roberto Marasca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 289 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011519
2 2011382
3 2012380
4 2011323
5 2012313
6 2011274
7 2005223
8 2020216
9 2013215
10 2016199
11 2009198
12 2000191
13 2015187
14 2014185
15 2013184
16 2011165
17 2011159
18 1993146
19 2010143
20 1991142

About Roberto Marasca

Roberto Marasca is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Immunology, having authored 289 papers that have together received 11.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (144 papers), Lymphoma Diagnosis and Treatment (80 papers), Chronic Myeloid Leukemia Treatments (42 papers), Viral-associated cancers and disorders (36 papers), Immunodeficiency and Autoimmune Disorders (31 papers), Acute Myeloid Leukemia Research (29 papers), Multiple Myeloma Research and Treatments (24 papers) and Cytomegalovirus and herpesvirus research (24 papers). The work is most often cited by research in Genetics (5.3k citations), Pathology and Forensic Medicine (4.1k citations), Hematology (2.4k citations), Oncology (3.3k citations) and Immunology (2.4k citations). Roberto Marasca has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Mario Luppi, Patrizia Barozzi, Giuseppe Torelli, Rossana Maffei, Antonino Maiorana, Leonardo Potenza, Stefania Fiorcari, Raffaella Trovato, Luca Ceccherini‐Nelli and Patrizia Zucchini. Their work appears in journals such as Blood, Haematologica, British Journal of Haematology, Hematological Oncology 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.

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