Daniela De Micheli
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Chronic Myeloid Leukemia Treatments 5
- Acute Myeloid Leukemia Research 4
-
- Acute Lymphoblastic Leukemia research 5
- Co-authors
- Giuseppe Saglio (8 shared papers)Fabrizio Pane (3 shared papers)Niels Pallisgaard (1 shared paper)Emmanuel Beillard (1 shared paper)Jacques J. M. van Dongen (1 shared paper)J M Cayuela (1 shared paper)Gisela Barbany (1 shared paper)M Malec (1 shared paper)
- Journals
- Leukemia (3 papers)British Journal of Haematology (2 papers)Cancer (1 paper)Blood (1 paper)PubMed (1 paper)
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Daniela De Micheli
8 papers receiving 1.5k citations
Daniela De Micheli's Hit Papers
Peers
Comparison fields: 5 of 70
- Hematology 1.2k
- Genetics 488
- Public Health, Environmental and Occupational Health 581
- Rheumatology 235
- Pathology and Forensic Medicine 174
Countries citing papers authored by Daniela De Micheli
This map shows the geographic impact of Daniela De Micheli'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 De Micheli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela De Micheli more than expected).
Fields of papers citing papers by Daniela De Micheli
This network shows the impact of papers produced by Daniela De Micheli. 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 De Micheli. The network helps show where Daniela De Micheli may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela De Micheli, 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 | Standardization and quality control studies of ‘real-time’ quantitative reverse transcriptase polymerase chain reaction of fusion gene transcripts for residual disease detection in leukemia – A Europe Against Cancer Program Hit paper breakdown → | 2003 | 1091 |
| 2 | 2002 | 198 | |
| 3 | 2002 | 77 | |
| 4 | 1996 | 77 | |
| 5 | 2002 | 45 | |
| 6 | 2000 | 14 | |
| 7 | Primitive hematopoietic stem cells shows a polyclonal pattern in myelodysplastic syndromes. | 2004 | 6 |
| 8 | 2000 | 2 |
About Daniela De Micheli
Daniela De Micheli is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Rheumatology, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Eosinophilic Disorders and Syndromes (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper), Histiocytic Disorders and Treatments (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Hematology (1.2k citations), Genetics (488 citations), Public Health, Environmental and Occupational Health (581 citations), Rheumatology (235 citations) and Pathology and Forensic Medicine (174 citations). Daniela De Micheli has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Giuseppe Saglio, Fabrizio Pane, Niels Pallisgaard, Emmanuel Beillard, Jacques J. M. van Dongen, J M Cayuela, Gisela Barbany, M Malec, Xavier Thirion and Susanne Viehmann. Their work appears in journals such as Leukemia, British Journal of Haematology, Cancer, Blood and PubMed.
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.