Matteo Dragani

411 citations
18 papers · 124 · h-index 6

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Chronic Myeloid Leukemia Treatments 7
    • Acute Myeloid Leukemia Research 5
    • Platelet Disorders and Treatments 2
    • Chronic Lymphocytic Leukemia Research 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

Matteo Dragani

18 papers receiving 123 citations

Peers

Matteo Dragani
Comparison fields: 5 of 32
  • Hematology 80
  • Genetics 32
  • Cancer Research 23
  • Pathology and Forensic Medicine 19
  • Otorhinolaryngology 3
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Sima Bhatt United States
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Citations per field
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Citations per year

Countries citing papers authored by Matteo Dragani

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Dragani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201946
2 202016
3 202011
4 201910
5 20238
6 20207
7 20205
8 20194
9 20193
10 20253
11 20232
12 20232
13 20202
14 20241
15 20191
16 20201
17 20191
18 20201

About Matteo Dragani

Matteo Dragani is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Pathology and Forensic Medicine, having authored 18 papers that have together received 124 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Hematology (80 citations), Genetics (32 citations), Cancer Research (23 citations), Pathology and Forensic Medicine (19 citations) and Otorhinolaryngology (3 citations). Matteo Dragani has collaborated with scholars based in Italy, France and Belgium. Frequent co-authors include Daniela Cilloni, Jessica Petiti, Giuseppe Saglio, Carmen Fava, Valentina Rosso, Giovanna Rege‐Cambrin, Marco De Gobbi, Marco Lo Iacono, Elena Crisà and Karim Belhadj. Their work appears in journals such as Journal of Clinical Medicine, Blood, International Journal of Molecular Sciences, Cancers and HemaSphere.

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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