Maria Cuzzola

1.0k citations
44 papers · 849 · h-index 15

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
  • Immunology top 10%
    • Immune Response and Inflammation
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Acute Myeloid Leukemia Research 8
    • Hematopoietic Stem Cell Transplantation 8
    • Multiple Myeloma Research and Treatments 4
    • Immune Response and Inflammation 4

Maria Cuzzola

41 papers receiving 822 citations

Peers

Maria Cuzzola
Comparison fields: 5 of 89
  • Hematology 260
  • Immunology 241
  • Genetics 86
  • Physiology 32
  • Cancer Research 77
Replace Hema Kothari with:
Hema Kothari United States
Hwee Siew Howe Singapore
Mary Mansour Riwes United States
Shin-Rong Julia Wu United States
Nawarat Wara-aswapati Thailand
Olga Millán Spain
Claudio Fiocchi United States
Sharlene Velichko United States
Michelle Arcos‐Fajardo France
Uta Dierssen Germany
Maria Cuzzola relative to Hema Kothari United States Hema Kothari's profile →
Citations per field
00.5×2×2.9×
Hema Kothari · 1×
Citations per year

Countries citing papers authored by Maria Cuzzola

Since Specialization
Citations

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

Fields of papers citing papers by Maria Cuzzola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013177
2 201294
3 201671
4 200055
5 201247
6 199945
7 199736
8 202033
9 201026
10 201225
11 202123
12 201722
13 199620
14 200018
15 200318
16 202113
17 200911
18 200911
19 201111
20 202211

About Maria Cuzzola

Maria Cuzzola is a scholar working on Hematology, Immunology, Genetics, Oncology and Molecular Biology, having authored 44 papers that have together received 849 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Gene expression and cancer classification (4 papers), Multiple Myeloma Research and Treatments (4 papers), Immune Response and Inflammation (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Neonatal and Maternal Infections (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (260 citations), Immunology (241 citations), Genetics (86 citations), Physiology (32 citations) and Cancer Research (77 citations). Maria Cuzzola has collaborated with scholars based in Italy, United States and New Zealand. Frequent co-authors include Agostino Cortelezzi, Giuseppe Teti, Carmela Rigolino, Giuseppe Mancuso, Daniel T. Starczynowski, Lyndsey C. Bolanos, Jing Fang, Francesco Genovese, Pasquale Iacopino and Esther N. Oliva. Their work appears in journals such as Blood, BMC Geriatrics, The Journal of Immunology, Journal of Clinical Medicine and Acta 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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