Davide Rapezzi

2.0k citations
14 papers · 133 · h-index 7

Impact in

    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Davide Rapezzi

13 papers receiving 130 citations

Peers

Davide Rapezzi
Comparison fields: 5 of 45
  • Hematology 58
  • Genetics 54
  • Rheumatology 15
  • Pathology and Forensic Medicine 17
  • Genetics 25
Replace Maria Pina Simula with:
Maria Pina Simula Italy
María Elena Mateos Spain
Jacinth Joseph United States
Gavin Cuthbert United Kingdom
Heike Rübsamen Germany
Su Li Poh Singapore
Mikko Myllymäki Finland
Leire Burgos Spain
Hilda Rachel Diamond Brazil
Angeliki Balassopoulou Greece
Davide Rapezzi relative to Maria Pina Simula Italy Maria Pina Simula's profile →
Citations per field
00.5×2.7×
Maria Pina Simula · 1×
Citations per year

Countries citing papers authored by Davide Rapezzi

Since Specialization
Citations

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

Fields of papers citing papers by Davide Rapezzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 199840
2 201720
3 200415
4 199910
5 201410
6 20208
7 20057
8 20206
9 20225
10 20235
11 20223
12 20213
13 20211
14 20230

About Davide Rapezzi

Davide Rapezzi is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Immunology, having authored 14 papers that have together received 133 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Eosinophilic Disorders and Syndromes (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Mast cells and histamine (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Hematology (58 citations), Genetics (54 citations), Rheumatology (15 citations), Pathology and Forensic Medicine (17 citations) and Genetics (25 citations). Davide Rapezzi has collaborated with scholars based in Italy and France. Frequent co-authors include Gian Franco Gaetani, Anna Maria Ferraris, Omar Racchi, Rosa Mangerini, Michela Rolfo, Salvatore Casciaro, Andrea Gallamini, Maria Cantonetti, Mariella Grasso and Claudia Castellino. Their work appears in journals such as British Journal of Haematology, Journal of Clinical Oncology, American Journal of Hematology, Quality of Life Research and Blood Cells Molecules and Diseases.

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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