Daniela Vallerini
Impact in
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- Chronic Myeloid Leukemia Treatments
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- Chronic Lymphocytic Leukemia Research
Papers in
- Epidemiology 10
- Cytomegalovirus and herpesvirus research 6
- Fungal Infections and Studies 3
- Oncology 8
- Viral-associated cancers and disorders 5
- Polyomavirus and related diseases 2
- Co-authors
- Leonardo Potenza (13 shared papers)Patrizia Barozzi (15 shared papers)Mario Luppi (15 shared papers)Giuseppe Torelli (10 shared papers)Giovanni Riva (10 shared papers)Chiara Quadrelli (8 shared papers)Raffaella Bosco (5 shared papers)Fabio Forghieri (8 shared papers)
- Journals
- European Journal Of Haematology (2 papers)Journal of Clinical Virology (1 paper)Blood Cancer Journal (1 paper)Cells (1 paper)Autoimmunity Reviews (1 paper)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Daniela Vallerini
15 papers receiving 229 citations
Peers
Comparison fields: 5 of 36
- Hematology 52
- Genetics 49
- Oncology 118
- Transplantation 9
- Infectious Diseases 53
Countries citing papers authored by Daniela Vallerini
This map shows the geographic impact of Daniela Vallerini'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 Vallerini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Vallerini more than expected).
Fields of papers citing papers by Daniela Vallerini
This network shows the impact of papers produced by Daniela Vallerini. 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 Vallerini. The network helps show where Daniela Vallerini may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Vallerini, 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 | 2008 | 51 | |
| 2 | 2020 | 38 | |
| 3 | 2009 | 34 | |
| 4 | 2009 | 26 | |
| 5 | 2007 | 21 | |
| 6 | 2007 | 18 | |
| 7 | 2022 | 10 | |
| 8 | 2016 | 9 | |
| 9 | 2008 | 9 | |
| 10 | 2008 | 7 | |
| 11 | 2010 | 3 | |
| 12 | 2011 | 3 | |
| 13 | 2009 | 2 | |
| 14 | Giant cell hepatitis following primary infection with HHV-6 variant A, transmitted from the donor, in a liver transplant recipient latently infected with HHV-6 variant B | 2006 | 1 |
| 15 | 2006 | 1 |
About Daniela Vallerini
Daniela Vallerini is a scholar working on Epidemiology, Oncology, Infectious Diseases, Hematology and Genetics, having authored 15 papers that have together received 233 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (6 papers), Viral-associated cancers and disorders (5 papers), Antifungal resistance and susceptibility (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Fungal Infections and Studies (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Hematology (52 citations), Genetics (49 citations), Oncology (118 citations), Transplantation (9 citations) and Infectious Diseases (53 citations). Daniela Vallerini has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Leonardo Potenza, Patrizia Barozzi, Mario Luppi, Giuseppe Torelli, Giovanni Riva, Chiara Quadrelli, Raffaella Bosco, Fabio Forghieri, Monica Maccaferri and Giorgio Enrico Gerunda. Their work appears in journals such as European Journal Of Haematology, Journal of Clinical Virology, Blood Cancer Journal, Cells and Autoimmunity Reviews.
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.