Daniela D. Rosa
Impact in
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- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Cancer Cells and Metastasis
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Angiogenesis and VEGF in Cancer 2
- Glycosylation and Glycoproteins Research 1
- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
- Oncology 4
- Co-authors
- Gustavo Ismael (2 shared papers)Gordon C. Jayson (4 shared papers)Max S. Mano (4 shared papers)Alessandro C. Pasqualotto (1 shared paper)David W. Denning (1 shared paper)Lissandra Dal Lago (2 shared papers)Evandro de Azambuja (1 shared paper)Virginie Durbecq (1 shared paper)
- Journals
- European Journal of Cancer (2 papers)Archives of Gynecology and Obstetrics (2 papers)Cancer Treatment Reviews (2 papers)Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- BrazilUnited KingdomBelgium
In The Last Decade
Daniela D. Rosa
14 papers receiving 349 citations
Peers
Comparison fields: 5 of 54
- Oncology 96
- Cancer Research 43
- Epidemiology 76
- Molecular Biology 134
- Microbiology 10
Countries citing papers authored by Daniela D. Rosa
This map shows the geographic impact of Daniela D. Rosa'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 D. Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela D. Rosa more than expected).
Fields of papers citing papers by Daniela D. Rosa
This network shows the impact of papers produced by Daniela D. Rosa. 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 D. Rosa. The network helps show where Daniela D. Rosa may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela D. Rosa, 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 | 2006 | 65 | |
| 2 | 2005 | 62 | |
| 3 | 2008 | 58 | |
| 4 | 2008 | 44 | |
| 5 | 2007 | 33 | |
| 6 | 2022 | 20 | |
| 7 | Technology evaluation: VEGF Trap (cancer), Regeneron/sanofi-aventis. | 2005 | 20 |
| 8 | 2007 | 18 | |
| 9 | 2006 | 13 | |
| 10 | 2008 | 12 | |
| 11 | 2011 | 7 | |
| 12 | 2005 | 5 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 1 |
About Daniela D. Rosa
Daniela D. Rosa is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Epidemiology, having authored 14 papers that have together received 359 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Cervical Cancer and HPV Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Nutrition, Genetics, and Disease (2 papers), Glycosylation and Glycoproteins Research (1 paper), Ubiquitin and proteasome pathways (1 paper), BRCA gene mutations in cancer (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Oncology (96 citations), Cancer Research (43 citations), Epidemiology (76 citations), Molecular Biology (134 citations) and Microbiology (10 citations). Daniela D. Rosa has collaborated with scholars based in Brazil, United Kingdom and Belgium. Frequent co-authors include Gustavo Ismael, Gordon C. Jayson, Max S. Mano, Alessandro C. Pasqualotto, David W. Denning, Lissandra Dal Lago, Evandro de Azambuja, Virginie Durbecq, Maria Inês da Rosa and Ahmad Awada. Their work appears in journals such as European Journal of Cancer, Archives of Gynecology and Obstetrics, Cancer Treatment Reviews, Cancer Research and Journal of Clinical Oncology.
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.