Fernanda Milanezi
- Oncology top 1%
- Molecular Biology top 5%
- Cancer Research top 1%
- Pathology and Forensic Medicine top 1%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Fernando SchmittJoana ParedesJorge S. Reis‐FilhoSara RicardoDina LeitãoAndré AlbergariaSílvia CarvalhoEmílio Marcelo Pereira
- Topics
- HER2/EGFR in Cancer Research (12 papers)Cancer and Skin Lesions (11 papers)Breast Cancer Treatment Studies (10 papers)
- Cited by
- Cancer ResearchOncologyDermatology
- Partner nations
- PortugalBrazilUnited States
In The Last Decade
Fernanda Milanezi
75 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Oncology 1.9k
- Molecular Biology 1.7k
- Cancer Research 1.2k
- Pathology and Forensic Medicine 834
- Pulmonary and Respiratory Medicine 686
Countries citing papers authored by Fernanda Milanezi
This map shows the geographic impact of Fernanda Milanezi'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 Fernanda Milanezi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda Milanezi more than expected).
Fields of papers citing papers by Fernanda Milanezi
This network shows the impact of papers produced by Fernanda Milanezi. 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 Fernanda Milanezi. The network helps show where Fernanda Milanezi may publish in the future.
Co-authorship network of co-authors of Fernanda Milanezi
This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda Milanezi. A scholar is included among the top collaborators of Fernanda Milanezi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernanda Milanezi. Fernanda Milanezi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | Breast cancer stem cell markers CD44, CD24 and ALDH1: expression distribution within intrinsic molecular subtypebreakdown → | 491 |
| 5 | 95 | |
| 6 | 63 | |
| 7 | 16 | |
| 8 | 123 | |
| 9 | Analysis of EGFR overexpression, EGFR gene amplification and the EGFRvIII mutation in Portuguese high-grade gliomas. | 54 |
| 10 | 52 | |
| 11 | 11 | |
| 12 | 44 | |
| 13 | 173 | |
| 14 | 3 | |
| 15 | 120 | |
| 16 | 60 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | Patología del cáncer de mama hereditario | 3 |
| 20 | 17 |
About Fernanda Milanezi
Fernanda Milanezi is a scholar working on Dermatology, Oncology and Cancer Research, having authored 75 papers that have together received 4.0k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (12 papers), Cancer and Skin Lesions (11 papers) and Breast Cancer Treatment Studies (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.9k citations) and Dermatology (430 citations). Fernanda Milanezi has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include Fernando Schmitt, Joana Paredes, Jorge S. Reis‐Filho, Sara Ricardo, Dina Leitão, André Albergaria, Sílvia Carvalho, Emílio Marcelo Pereira, Kay Savage and José Cameselle‐Teijeiro. Their work appears in journals such as Cancer, Cancer Research and Scientific Reports.
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.