Antonio Daga
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Mesenchymal stem cell research
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
-
- DNA Repair Mechanisms 6
- Oncology 29
- Cancer Cells and Metastasis 13
- Co-authors
- Giorgio Corte (16 shared papers)Daniela Marubbi (19 shared papers)Gianluigi Zona (10 shared papers)Tullio Florio (23 shared papers)Federica Barbieri (20 shared papers)Alessandra Pattarozzi (18 shared papers)Maria Capra (5 shared papers)Rosaria Gangemi (6 shared papers)
- Journals
- Oncotarget (8 papers)International Journal of Cancer (5 papers)PLoS ONE (4 papers)BMC Cancer (4 papers)Experimental Cell Research (3 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Antonio Daga
96 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 114
- Genetics 850
- Cancer Research 685
- Oncology 1.2k
- Physiology 159
- Immunology 657
Countries citing papers authored by Antonio Daga
This map shows the geographic impact of Antonio Daga'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 Antonio Daga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Daga more than expected).
Fields of papers citing papers by Antonio Daga
This network shows the impact of papers produced by Antonio Daga. 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 Antonio Daga. The network helps show where Antonio Daga may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonio Daga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 484 | |
| 2 | 2009 | 274 | |
| 3 | 2012 | 157 | |
| 4 | 2009 | 144 | |
| 5 | 2006 | 131 | |
| 6 | 2009 | 115 | |
| 7 | 1998 | 106 | |
| 8 | 2014 | 104 | |
| 9 | 2015 | 99 | |
| 10 | 2015 | 90 | |
| 11 | 2001 | 89 | |
| 12 | 2013 | 86 | |
| 13 | 2015 | 79 | |
| 14 | 2008 | 75 | |
| 15 | 1995 | 70 | |
| 16 | 2012 | 68 | |
| 17 | 2000 | 62 | |
| 18 | 2009 | 61 | |
| 19 | 2013 | 61 | |
| 20 | 2017 | 60 |
About Antonio Daga
Antonio Daga is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Cancer Research, having authored 98 papers that have together received 4.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (21 papers), Cancer Cells and Metastasis (13 papers), Neuroblastoma Research and Treatments (7 papers), Mesenchymal stem cell research (7 papers), Occupational and environmental lung diseases (7 papers), DNA Repair Mechanisms (6 papers), Cancer Research and Treatments (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Genetics (850 citations), Cancer Research (685 citations), Oncology (1.2k citations), Physiology (159 citations) and Immunology (657 citations). Antonio Daga has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giorgio Corte, Daniela Marubbi, Gianluigi Zona, Tullio Florio, Federica Barbieri, Alessandra Pattarozzi, Maria Capra, Rosaria Gangemi, Roberto Würth and Paolo Malatesta. Their work appears in journals such as Oncotarget, International Journal of Cancer, PLoS ONE, BMC Cancer and Experimental Cell Research.
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.