Rosana Sáez
- Molecular Biology
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cell Biology
- Cancer Research
- Co-authors
- J Garcı́a-CondeAňa LluchAndrew M. ChanElizabeth E. RamseyFederico RojoEdward J. KeenanMiguel Ángel Molina‐VilaJoan Albanell
- Topics
- HER2/EGFR in Cancer Research (3 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)Radiopharmaceutical Chemistry and Applications (2 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Rosana Sáez
21 papers receiving 777 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 395
- Oncology 344
- Radiology, Nuclear Medicine and Imaging 228
- Cell Biology 77
- Cancer Research 70
Countries citing papers authored by Rosana Sáez
This map shows the geographic impact of Rosana Sáez'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 Rosana Sáez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosana Sáez more than expected).
Fields of papers citing papers by Rosana Sáez
This network shows the impact of papers produced by Rosana Sáez. 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 Rosana Sáez. The network helps show where Rosana Sáez may publish in the future.
Co-authorship network of co-authors of Rosana Sáez
This figure shows the co-authorship network connecting the top 25 collaborators of Rosana Sáez. A scholar is included among the top collaborators of Rosana Sáez 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 Rosana Sáez. Rosana Sáez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 67 | |
| 3 | 161 | |
| 4 | Genomic loss of 18p predicts an adverse clinical outcome in patients with high-risk breast cancer. | 32 |
| 5 | NH(2)-terminal truncated HER-2 protein but not full-length receptor is associated with nodal metastasis in human breast cancer. | 177 |
| 6 | 10 | |
| 7 | 38 | |
| 8 | 24 | |
| 9 | 73 | |
| 10 | 37 | |
| 11 | 22 | |
| 12 | Synergism between two growth regulatory pathways: cooperative transformation of NIH3T3 cells by G alpha 12 and c-raf-1. | 7 |
| 13 | 20 | |
| 14 | Oncogenic activation of human R-ras by point mutations analogous to those of prototype H-ras oncogenes. | 69 |
| 15 | 8 | |
| 16 | Derangement of astrogliogenesis as a possible mechanism involved in alcohol-induced alterations of central nervous system development. | 14 |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 8 |
About Rosana Sáez
Rosana Sáez is a scholar working on Developmental Neuroscience, Industrial and Manufacturing Engineering and Nutrition and Dietetics, having authored 21 papers that have together received 800 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Oncology (344 citations), Radiology, Nuclear Medicine and Imaging (228 citations) and Immunology and Allergy (53 citations). Rosana Sáez has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include J Garcı́a-Conde, Aňa Lluch, Andrew M. Chan, Elizabeth E. Ramsey, Federico Rojo, Edward J. Keenan, Miguel Ángel Molina‐Vila, Joan Albanell, José Baselga and Gail M. Clinton. Their work appears in journals such as Molecular and Cellular Biology, Oncogene and Clinical Cancer 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.