Mario Masi

2.1k citations
23 papers · 1.6k · h-index 17

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Platelet Disorders and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Blood groups and transfusion
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research

Papers in

Mario Masi

22 papers receiving 1.6k citations

Peers

Mario Masi
Comparison fields: 5 of 72
  • Hematology 1.0k
  • Genetics 382
  • Pathology and Forensic Medicine 256
  • Public Health, Environmental and Occupational Health 298
  • Nephrology 66
Replace Maro Ohanian with:
Maro Ohanian United States
Emmanuel C. Besa United States
M Giralt Spain
Roberto Foà Italy
Carlos Bueso-Ramos United States
H. Pralle Germany
Andrew Belch Canada
Vincenzo Callea Italy
Álvaro Aguayo Mexico
Andreas Tobler Switzerland
Mario Masi relative to Maro Ohanian United States Maro Ohanian's profile →
Citations per field
00.5×1.5×2.1×
Maro Ohanian · 1×
Citations per year

Countries citing papers authored by Mario Masi

Since Specialization
Citations

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

Fields of papers citing papers by Mario Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003281
2 1995256
3 2001208
4 2000200
5 2000167
6 199378
7 199362
8 199756
9 199545
10 199640
11 200039
12 199834
13 199432
14 199731
15 199929
16 200327
17 199517
18 199614
19 19989
20 19917

About Mario Masi

Mario Masi is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Oncology and Genetics, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Myeloid Leukemia Treatments (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Multiple Myeloma Research and Treatments (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (382 citations), Pathology and Forensic Medicine (256 citations), Public Health, Environmental and Occupational Health (298 citations) and Nephrology (66 citations). Mario Masi has collaborated with scholars based in Italy. Frequent co-authors include Sergio Amadori, Adriano Venditti, Giovanni Del Poeta, Francesco Buccisano, Anna Tamburini, Luca Maurillo, Roberto Stasi, Beatrice Del Moro, Alessandra Battaglia and Giovanna Suppo. Their work appears in journals such as Blood, Leukemia Research, Cancer, British Journal of Haematology and Thrombosis and Haemostasis.

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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