Silvia Deaglio
Impact in
- Physiology top 0.01%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Physiology 80
- Calcium signaling and nucleotide metabolism 65
- Adenosine and Purinergic Signaling 32
- Genetics 94
- Chronic Lymphocytic Leukemia Research 88
- Co-authors
- Fabio MalavasiTiziana VaisittiSimon C. RobsonKaren M. DwyerTerry B. StromWenda GaoDavid J. FriedmanValentina Audrito
- Journals
- Blood (41 papers)Haematologica (8 papers)Leukemia (7 papers)Cancer Research (7 papers)International Journal of Molecular Sciences (6 papers)
- Partner nations
- ItalyUnited StatesBelarus
In The Last Decade
Silvia Deaglio
216 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Physiology 3.7k
- Genetics 2.6k
- Immunology 4.5k
- Geriatrics and Gerontology 533
- Hematology 1.3k
Countries citing papers authored by Silvia Deaglio
This map shows the geographic impact of Silvia Deaglio'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 Silvia Deaglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Deaglio more than expected).
Fields of papers citing papers by Silvia Deaglio
This network shows the impact of papers produced by Silvia Deaglio. 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 Silvia Deaglio. The network helps show where Silvia Deaglio may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Deaglio, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 29 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 55 | |
| 10 | 2018 | 33 | |
| 11 | 2016 | 61 | |
| 12 | 2016 | 83 | |
| 13 | 2014 | 154 | |
| 14 | 2011 | 138 | |
| 15 | 2011 | 29 | |
| 16 | 2009 | 118 | |
| 17 | 2007 | 65 | |
| 18 | 2001 | 51 | |
| 19 | 1999 | 2 | |
| 20 | 1999 | 31 |
About Silvia Deaglio
Silvia Deaglio is a scholar working on Physiology, Genetics, Transplantation, Immunology and Geriatrics and Gerontology, having authored 226 papers that have together received 11.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (88 papers), Calcium signaling and nucleotide metabolism (65 papers), Adenosine and Purinergic Signaling (32 papers), Immune Cell Function and Interaction (24 papers), Phagocytosis and Immune Regulation (16 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Glycosylation and Glycoproteins Research (13 papers) and Lymphoma Diagnosis and Treatment (13 papers). The work is most often cited by research in Physiology (3.7k citations), Genetics (2.6k citations), Immunology (4.5k citations), Geriatrics and Gerontology (533 citations) and Hematology (1.3k citations). Silvia Deaglio has collaborated with scholars based in Italy, United States and Belarus. Frequent co-authors include Fabio Malavasi, Tiziana Vaisitti, Simon C. Robson, Karen M. Dwyer, Terry B. Strom, Wenda Gao, David J. Friedman, Valentina Audrito, Semra Aydin and Alberto L. Horenstein. Their work appears in journals such as Blood, Haematologica, Leukemia, Cancer Research and International Journal of Molecular Sciences.
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.