Daniela D. Rosa

635 citations
14 papers · 376 · h-index 10

Impact in

    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Colorectal Cancer Treatments and Studies
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Angiogenesis and VEGF in Cancer 2
    • Glycosylation and Glycoproteins Research 1
    • Ubiquitin and proteasome pathways 1
    • Protein Degradation and Inhibitors 1

Daniela D. Rosa

14 papers receiving 361 citations

Peers

Daniela D. Rosa
Comparison fields: 5 of 55
  • Oncology 102
  • Cancer Research 48
  • Epidemiology 78
  • Molecular Biology 136
  • Immunology 35
Replace María José Ferri with:
María José Ferri Spain
Jinping Gao China
Manlio Monti Italy
Patricia Luhn United States
Damir Vrbanec Croatia
Kyung Whan Min United States
Monica Verrico Italy
Ramsi Haddad United States
Kosuke Ichikawa Japan
Daniela D. Rosa relative to María José Ferri Spain María José Ferri's profile →
Citations per field
00.5×1.6×
María José Ferri · 1×
Citations per year

Countries citing papers authored by Daniela D. Rosa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniela D. Rosa Line = papers co-authored together Daniela D. Rosa links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200665
2 200564
3 200858
4 200848
5 200738
6
Technology evaluation: VEGF Trap (cancer), Regeneron/sanofi-aventis.
200522
7 202220
8 200718
9 200615
10 200812
11 20118
12 20056
13 20201
14 20201

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 376 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 (102 citations), Cancer Research (48 citations), Epidemiology (78 citations), Molecular Biology (136 citations) and Immunology (35 citations). Daniela D. Rosa has collaborated with scholars based in Brazil, United Kingdom and Belgium. Frequent co-authors include Gustavo Ismael, Max S. Mano, Gordon C. Jayson, David W. Denning, Alessandro C. Pasqualotto, Lissandra Dal Lago, Evandro de Azambuja, Virginie Durbecq, Ahmad Awada and Mary Clarisse Bozzetti. Their work appears in journals such as Archives of Gynecology and Obstetrics, European Journal of Cancer, Cancer Research, Cancer Treatment Reviews and Medical Mycology.

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.

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