Mario Luppi

19.1k citations
270 papers · 6.9k · h-index 46

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Oncology top 0.5%
    • Viral-associated cancers and disorders

Papers in

    • Viral-associated cancers and disorders 63
    • Chronic Myeloid Leukemia Treatments 28
    • Acute Myeloid Leukemia Research 28

Mario Luppi

263 papers receiving 6.8k citations

Peers

Mario Luppi
Comparison fields: 5 of 151
  • Hematology 1.1k
  • Oncology 2.6k
  • Genetics 840
  • Infectious Diseases 1.2k
  • Epidemiology 1.9k
Replace Mark Bower with:
Mark Bower United Kingdom
Yuk Ming Dennis Lo Hong Kong
Umberto Tirelli Italy
Olivier Lambotte France
Harold Atkins United States
Montserrat Rovira Spain
Theo Rispens Netherlands
Thomas Horn Denmark
Alexandar Tzankov Switzerland
T H Thé Netherlands
Mario Luppi relative to Mark Bower United Kingdom Mark Bower's profile →
Citations per field
00.5×2.8×
Mark Bower · 1×
Citations per year

Countries citing papers authored by Mario Luppi

Since Specialization
Citations

This map shows the geographic impact of Mario Luppi'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 Mario Luppi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Luppi more than expected).

Fields of papers citing papers by Mario Luppi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Luppi. 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 Mario Luppi. The network helps show where Mario Luppi may publish in the future.

Co-authors

The 25 scholars most cited alongside Mario Luppi, 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 Mario Luppi Line = papers co-authored together Mario Luppi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 270 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003207
2 1998196
3 2006183
4 2001173
5 2000159
6 2003143
7 1991120
8 1993118
9 1996115
10 2001115
11 1998111
12 1999107
13
Hepatitis C virus infection in subsets of neoplastic lymphoproliferations not associated with cryoglobulinemia.
1996106
14 2013100
15 201597
16 199995
17 201393
18 199892
19 199692
20 199390

About Mario Luppi

Mario Luppi is a scholar working on Oncology, Hematology, Genetics, Epidemiology and Infectious Diseases, having authored 270 papers that have together received 6.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (63 papers), Chronic Lymphocytic Leukemia Research (52 papers), Cytomegalovirus and herpesvirus research (45 papers), Chronic Myeloid Leukemia Treatments (28 papers), Acute Myeloid Leukemia Research (28 papers), Parvovirus B19 Infection Studies (25 papers), Acute Lymphoblastic Leukemia research (24 papers) and Lymphoma Diagnosis and Treatment (24 papers). The work is most often cited by research in Hematology (1.1k citations), Oncology (2.6k citations), Genetics (840 citations), Infectious Diseases (1.2k citations) and Epidemiology (1.9k citations). Mario Luppi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe Torelli, Patrizia Barozzi, Roberto Marasca, Leonardo Potenza, Monica Morselli, Giuseppe Longo, Giovanni Riva, Raffaella Trovato, Giovanni Emilia and Franco Narni. Their work appears in journals such as Blood, Journal of Medical Virology, European Journal Of Haematology, Leukemia Research and Haematologica.

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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