Daniela Diverio
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 96
- Chronic Myeloid Leukemia Treatments 43
- Biochemistry top 0.5%
- Molecular Biology top 1%
- Retinoids in leukemia and cellular processes 76
- Advanced biosensing and bioanalysis techniques 21
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 30
- Cancer Research top 2%
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- Acute Lymphoblastic Leukemia research 24
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- Eosinophilic Disorders and Syndromes 19
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- Lymphoma Diagnosis and Treatment 12
- Co-authors
- Francesco Lo‐CocoAndrea BiondiGiuseppe AvvisatiPier Giuseppe PelicciFranco MandelliBrunangelo FaliniMyriam AlcalayClara Nervi
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Daniela Diverio
144 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 104
- Hematology 4.6k
- Biochemistry 583
- Molecular Biology 4.7k
- Genetics 700
- Cancer Research 862
Countries citing papers authored by Daniela Diverio
This map shows the geographic impact of Daniela Diverio'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 Daniela Diverio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Diverio more than expected).
Fields of papers citing papers by Daniela Diverio
This network shows the impact of papers produced by Daniela Diverio. 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 Daniela Diverio. The network helps show where Daniela Diverio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Diverio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2021 | 0 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 1 | |
| 10 | 2014 | 15 | |
| 11 | 2009 | 10 | |
| 12 | 2008 | 1 | |
| 13 | 2006 | 18 | |
| 14 | 2003 | 34 | |
| 15 | 2003 | 45 | |
| 16 | Detection of minimal residual disease (MRD) in APL by "real-time" RT-PCR: Analysis of cases entered into the UK MRC ATRA trial. | 1999 | 8 |
| 17 | 1998 | 26 | |
| 18 | The AML1 gene: a transcription factor involved in the pathogenesis of myeloid and lymphoid leukemias. | 1997 | 44 |
| 19 | 1995 | 1 | |
| 20 | 1990 | 156 |
About Daniela Diverio
Daniela Diverio is a scholar working on Hematology, Genetics and Rheumatology, having authored 150 papers that have together received 6.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (96 papers), Retinoids in leukemia and cellular processes (76 papers), Chronic Myeloid Leukemia Treatments (43 papers), Chronic Lymphocytic Leukemia Research (30 papers), Acute Lymphoblastic Leukemia research (24 papers), Advanced biosensing and bioanalysis techniques (21 papers), Eosinophilic Disorders and Syndromes (19 papers) and Lymphoma Diagnosis and Treatment (12 papers). The work is most often cited by research in Hematology (4.6k citations), Biochemistry (583 citations) and Molecular Biology (4.7k citations). Daniela Diverio has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Francesco Lo‐Coco, Andrea Biondi, Giuseppe Avvisati, Pier Giuseppe Pelicci, Franco Mandelli, Brunangelo Falini, Myriam Alcalay, Clara Nervi, F Grignani and Alessandro Rambaldi. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Annals of Hematology and Leukemia Research.
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.