Giuseppe Fioritoni

7.2k citations
61 papers · 1.5k indexed · h-index 20

Giuseppe Fioritoni

60 papers receiving 1.5k citations

Peers

Giuseppe Fioritoni
Comparison fields: 5 of 83
  • Hematology 1.1k
  • Biochemistry 180
  • Genetics 238
  • Public Health, Environmental and Occupational Health 337
  • Molecular Biology 754
Replace Ashish Bajel with:
Ashish Bajel Australia
Haitao Meng China
Heiko Rühl Germany
Jae‐Ho Yoon South Korea
DJ Weisdorf United States
Renée M. Y. Barge Netherlands
Hanyun Ren China
K. B. McCredie United States
I. W. Delamore United Kingdom
Morio Sawamura Japan
Giuseppe Fioritoni relative to Ashish Bajel Australia Ashish Bajel's profile →
Citations per field
00.5×1.5×2.1×
Ashish Bajel · 1×
Citations per year

Countries citing papers authored by Giuseppe Fioritoni

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Fioritoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20114
2 20111
3 200815
4
The role of BCR/ABL isoforms in the presentation and outcome of patients with Philadelphia-positive acute lymphoblastic leukemia: a seven-year update of the GIMEMA 0496 trial.
200633
5 200611
6 200430
7 200419
8 20035
9 20024
10 199727
11 199619
12 199428
13 199430
14 199214
15 199213
16 19923
17 19923
18 19914
19 19905
20 198728

About Giuseppe Fioritoni

Giuseppe Fioritoni is a scholar working on Hematology, Genetics and Molecular Medicine, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Acute Lymphoblastic Leukemia research (13 papers), Neutropenia and Cancer Infections (10 papers), Retinoids in leukemia and cellular processes (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Hematology (1.1k citations), Biochemistry (180 citations) and Genetics (238 citations). Giuseppe Fioritoni has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Giuseppe Avvisati, Franco Mandelli, Tiziano Barbui, Felicetto Ferrara, Vincenzo Liso, Maria Concetta Petti, Francesco Rodeghiero, Joaquı́n Dı́az-Mediavilla, Carlo Bernasconi and Jordi Esteve. Their work appears in journals such as Blood, British Journal of Haematology, Annals of Hematology, Chemotherapy and Experimental Hematology.

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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