Daniela Damiani
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 41
- Hematopoietic Stem Cell Transplantation 15
- Chronic Myeloid Leukemia Treatments 12
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 16
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 42
- Neutropenia and Cancer Infections 9
- Hepatology top 5%
- Immunology top 5%
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- Acute Lymphoblastic Leukemia research 22
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- Lymphoma Diagnosis and Treatment 14
- Co-authors
- Renato FaninMichele BaccaraniAngela MicheluttiMariagrazia MichieliAntonella GerominFrancesco ZajaMario TiribelliDonatella Raspadori
- Cited by
- HematologyGeneticsOncology
- Journals
- Blood (11 papers)British Journal of Haematology (10 papers)Bone Marrow Transplantation (7 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Daniela Damiani
130 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 99
- Hematology 1.2k
- Genetics 565
- Oncology 1.1k
- Hepatology 243
- Immunology 451
Countries citing papers authored by Daniela Damiani
This map shows the geographic impact of Daniela Damiani'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 Damiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Damiani more than expected).
Fields of papers citing papers by Daniela Damiani
This network shows the impact of papers produced by Daniela Damiani. 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 Damiani. The network helps show where Daniela Damiani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Damiani, 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 | 2023 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 6 | |
| 6 | 2010 | 17 | |
| 7 | 2007 | 25 | |
| 8 | 2004 | 7 | |
| 9 | 2003 | 22 | |
| 10 | 2003 | 20 | |
| 11 | 2002 | 22 | |
| 12 | 2002 | 12 | |
| 13 | 2001 | 2 | |
| 14 | P-glycoprotein (PGP), and not lung resistance-related protein (LRP), is a negative prognostic factor in secondary leukemias. | 1998 | 30 |
| 15 | 1997 | 63 | |
| 16 | 1994 | 15 | |
| 17 | 1992 | 4 | |
| 18 | 1991 | 21 | |
| 19 | 1990 | 2 | |
| 20 | 1988 | 6 |
About Daniela Damiani
Daniela Damiani is a scholar working on Hematology, Oncology, Genetics, Pathology and Forensic Medicine and Immunology, having authored 134 papers that have together received 3.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (42 papers), Acute Myeloid Leukemia Research (41 papers), Acute Lymphoblastic Leukemia research (22 papers), Chronic Lymphocytic Leukemia Research (16 papers), Hematopoietic Stem Cell Transplantation (15 papers), Lymphoma Diagnosis and Treatment (14 papers), Chronic Myeloid Leukemia Treatments (12 papers) and Neutropenia and Cancer Infections (9 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (565 citations), Oncology (1.1k citations), Hepatology (243 citations) and Immunology (451 citations). Daniela Damiani has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Renato Fanin, Michele Baccarani, Angela Michelutti, Mariagrazia Michieli, Antonella Geromin, Francesco Zaja, Mario Tiribelli, Donatella Raspadori, Paola Masolini and Domenico Russo. Their work appears in journals such as Blood, British Journal of Haematology, Bone Marrow Transplantation, Annals of Hematology and European Journal Of Haematology.
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.