Daniela DiFranco
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Adenosine and Purinergic Signaling
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- T-cell and B-cell Immunology
Papers in
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- Phagocytosis and Immune Regulation 4
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- interferon and immune responses 2
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- Cell death mechanisms and regulation 4
- Ubiquitin and proteasome pathways 1
- Co-authors
- Umberto Dianzani (10 shared papers)Valter Redoglia (4 shared papers)Manuela Bragardo (5 shared papers)Donatella Buonfiglio (3 shared papers)Ugo Ramenghi (6 shared papers)Irma Dianzani (7 shared papers)Sara Bonissoni (6 shared papers)Alessandro Pileri (1 shared paper)
- Journals
- Blood (5 papers)Clinical & Experimental Immunology (2 papers)The Journal of Immunology (1 paper)The Hematology Journal (1 paper)PubMed (1 paper)
- Partner nations
- ItalyUnited StatesThailand
In The Last Decade
Daniela DiFranco
10 papers receiving 487 citations
Peers
Comparison fields: 5 of 58
- Physiology 88
- Immunology 270
- Hematology 80
- Virology 30
- Genetics 59
Countries citing papers authored by Daniela DiFranco
This map shows the geographic impact of Daniela DiFranco'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 DiFranco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela DiFranco more than expected).
Fields of papers citing papers by Daniela DiFranco
This network shows the impact of papers produced by Daniela DiFranco. 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 DiFranco. The network helps show where Daniela DiFranco may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela DiFranco, 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 | 1994 | 149 | |
| 2 | 1997 | 145 | |
| 3 | Deficiency of the Fas apoptosis pathway without Fas gene mutations is a familial trait predisposing to development of autoimmune diseases and cancer. | 2000 | 82 |
| 4 | 2000 | 68 | |
| 5 | 1994 | 24 | |
| 6 | 2003 | 23 | |
| 7 | 2000 | 10 | |
| 8 | 2001 | 7 | |
| 9 | 2000 | 4 | |
| 10 | 1994 | 2 |
About Daniela DiFranco
Daniela DiFranco is a scholar working on Immunology, Molecular Biology, Genetics, Geometry and Topology and Physiology, having authored 10 papers that have together received 514 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Phagocytosis and Immune Regulation (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), interferon and immune responses (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Ubiquitin and proteasome pathways (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Physiology (88 citations), Immunology (270 citations), Hematology (80 citations), Virology (30 citations) and Genetics (59 citations). Daniela DiFranco has collaborated with scholars based in Italy, United States and Thailand. Frequent co-authors include Umberto Dianzani, Valter Redoglia, Manuela Bragardo, Donatella Buonfiglio, Ugo Ramenghi, Irma Dianzani, Sara Bonissoni, Alessandro Pileri, Ada Funaro and Giovanni Maria Garbarino. Their work appears in journals such as Blood, Clinical & Experimental Immunology, The Journal of Immunology, The Hematology Journal 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.