Daniela Donnarumma
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Neutropenia and Cancer Infections
- Cancer Treatment and Pharmacology
Papers in
-
- Lymphoma Diagnosis and Treatment 8
- Oncology 9
- Inflammatory Biomarkers in Disease Prognosis 1
- Co-authors
- Francesco Di Raimondo (3 shared papers)Alessandra Romano (3 shared papers)Gianpaolo Marcacci (4 shared papers)Calogero Vetro (3 shared papers)Maurizio Musso (2 shared papers)Stefano Forte (1 shared paper)Renato Scalone (2 shared papers)Massimo Ippolito (2 shared papers)
- Journals
- Blood (3 papers)British Journal of Haematology (2 papers)Haematologica (1 paper)International Journal of Molecular Sciences (1 paper)Hematological Oncology (1 paper)
- Partner nations
- ItalyGermanyMontenegro
In The Last Decade
Daniela Donnarumma
13 papers receiving 476 citations
Peers
Comparison fields: 5 of 49
- Hematology 302
- Oncology 254
- Molecular Medicine 30
- Molecular Biology 211
- Pathology and Forensic Medicine 50
Countries citing papers authored by Daniela Donnarumma
This map shows the geographic impact of Daniela Donnarumma'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 Donnarumma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Donnarumma more than expected).
Fields of papers citing papers by Daniela Donnarumma
This network shows the impact of papers produced by Daniela Donnarumma. 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 Donnarumma. The network helps show where Daniela Donnarumma may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Donnarumma, 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 | 2012 | 269 | |
| 2 | 2017 | 124 | |
| 3 | 2015 | 21 | |
| 4 | 2012 | 19 | |
| 5 | 2015 | 16 | |
| 6 | 2011 | 11 | |
| 7 | 2014 | 8 | |
| 8 | 2021 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 3 | |
| 11 | 2010 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2011 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 |
About Daniela Donnarumma
Daniela Donnarumma is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Neurology and Genetics, having authored 15 papers that have together received 490 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Multiple Myeloma Research and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Protein Degradation and Inhibitors (2 papers), Multiple and Secondary Primary Cancers (1 paper), COVID-19 Clinical Research Studies (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Hematology (302 citations), Oncology (254 citations), Molecular Medicine (30 citations), Molecular Biology (211 citations) and Pathology and Forensic Medicine (50 citations). Daniela Donnarumma has collaborated with scholars based in Italy, Germany and Montenegro. Frequent co-authors include Francesco Di Raimondo, Alessandra Romano, Gianpaolo Marcacci, Calogero Vetro, Maurizio Musso, Stefano Forte, Renato Scalone, Massimo Ippolito, Antonio Pinto and Giuseppe Console. Their work appears in journals such as Blood, British Journal of Haematology, Haematologica, International Journal of Molecular Sciences and Hematological Oncology.
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.