Mario Lazzarino

14.5k citations
236 papers · 9.8k indexed · 3 hit papers · h-index 48

Mario Lazzarino

232 papers receiving 9.5k citations

Hit Papers

A dynamic prognostic model to predict survival in primary...6232005202620122019200400600

Peers

Mario Lazzarino
Comparison fields: 5 of 111
  • Hematology 5.6k
  • Genetics 5.0k
  • Pathology and Forensic Medicine 2.6k
  • Rheumatology 1.3k
  • Oncology 2.4k
Replace Pierre Morel with:
Pierre Morel France
Luca Arcaini Italy
Enrica Morra Italy
Curtis A. Hanson United States
Morton Coleman United States
Peter Mauch United States
Norbert Schmitz Germany
Uday Popat United States
Francesco Passamonti Italy
Sigurður Y. Kristinsson Sweden
Mario Lazzarino relative to Pierre Morel France Pierre Morel's profile →
Citations per field
00.5×2.6×
Pierre Morel · 1×
Citations per year

Countries citing papers authored by Mario Lazzarino

Since Specialization
Citations

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

Fields of papers citing papers by Mario Lazzarino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201131
2 201016
3 201014
4 200912
5 200825
6 200840
7 200785
8 20076
9 20057
10 20036
11 200317
12 20018
13 1997114
14
Clinical and cytologic characteristics of blastic phase in Ph-positive chronic myeloid leukemia treated with alpha-interferon.
19965
15 19959
16 199431
17
IL TRATTAMENTO DELLA LEUCEMIA MIELOIDE CRONICA (LMC) CON INTERFERONE ∅-2B (IFN ∅2B)
19911
18 19917
19 199021
20 198925

About Mario Lazzarino

Mario Lazzarino is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 236 papers that have together received 9.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (80 papers), Lymphoma Diagnosis and Treatment (79 papers), Chronic Lymphocytic Leukemia Research (60 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (44 papers), Chronic Myeloid Leukemia Treatments (36 papers), Multiple Myeloma Research and Treatments (33 papers), Viral-associated cancers and disorders (29 papers) and Acute Lymphoblastic Leukemia research (25 papers). The work is most often cited by research in Hematology (5.6k citations), Genetics (5.0k citations) and Pathology and Forensic Medicine (2.6k citations). Mario Lazzarino has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Cristiana Pascutto, Francesco Passamonti, Mario Cazzola, Luca Arcaini, Paolo Bernasconi, Enrica Morra, Matteo Giovanni Della Porta, Alessandro Corso, Luca Malcovati and Elisa Rumi. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer.

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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