Daniela Alfano
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- MicroRNA in disease regulation
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Cell Adhesion Molecules Research 13
-
- Protease and Inhibitor Mechanisms 12
- NF-κB Signaling Pathways 2
- Co-authors
- Maria Patrizia Stoppelli (8 shared papers)Ingram Iaccarino (3 shared papers)Paola Franco (5 shared papers)Pia Ragno (7 shared papers)Maria Vincenza Carriero (5 shared papers)Nunzia Montuori (6 shared papers)Immacolata Vocca (4 shared papers)M Caputi (3 shared papers)
- Journals
- Thrombosis and Haemostasis (2 papers)Journal of Cell Science (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Human Molecular Genetics (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniela Alfano
17 papers receiving 548 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 300
- Immunology and Allergy 119
- Hematology 96
- Oncology 149
- Molecular Biology 296
Countries citing papers authored by Daniela Alfano
This map shows the geographic impact of Daniela Alfano'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 Alfano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Alfano more than expected).
Fields of papers citing papers by Daniela Alfano
This network shows the impact of papers produced by Daniela Alfano. 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 Alfano. The network helps show where Daniela Alfano may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Alfano, 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 | 2005 | 122 | |
| 2 | 2006 | 73 | |
| 3 | 2006 | 55 | |
| 4 | 2015 | 35 | |
| 5 | 2014 | 28 | |
| 6 | 2010 | 28 | |
| 7 | 2022 | 28 | |
| 8 | 2010 | 28 | |
| 9 | 2015 | 27 | |
| 10 | 2012 | 26 | |
| 11 | 2012 | 25 | |
| 12 | 2019 | 23 | |
| 13 | 2011 | 23 | |
| 14 | 2008 | 16 | |
| 15 | 2020 | 9 | |
| 16 | 2015 | 7 | |
| 17 | 2006 | 1 | |
| 18 | 2025 | 0 |
About Daniela Alfano
Daniela Alfano is a scholar working on Immunology and Allergy, Cancer Research, Molecular Biology, Oncology and Hematology, having authored 18 papers that have together received 554 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (13 papers), Protease and Inhibitor Mechanisms (12 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Peptidase Inhibition and Analysis (3 papers), Chemokine receptors and signaling (2 papers), Signaling Pathways in Disease (2 papers), Congenital heart defects research (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Cancer Research (300 citations), Immunology and Allergy (119 citations), Hematology (96 citations), Oncology (149 citations) and Molecular Biology (296 citations). Daniela Alfano has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Maria Patrizia Stoppelli, Ingram Iaccarino, Paola Franco, Pia Ragno, Maria Vincenza Carriero, Nunzia Montuori, Immacolata Vocca, M Caputi, Viviana Pisa and Alessandro Mancini. Their work appears in journals such as Thrombosis and Haemostasis, Journal of Cell Science, Journal of Cellular and Molecular Medicine, Human Molecular Genetics and Frontiers in Cell and Developmental Biology.
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.