Sonia Vega
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 5%
- Cell Biology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- M. Ángela NietoOscar H. OcañaIsabel FabregatFrancisco ValdésAmparo CanoAixa V. MoralesAlejandro Barrallo‐GimenoGema Moreno‐Bueno
- Topics
- Cancer Cells and Metastasis (4 papers)Liver physiology and pathology (3 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Sonia Vega
15 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.6k
- Oncology 1.3k
- Cancer Research 504
- Cell Biology 284
- Pulmonary and Respiratory Medicine 231
Countries citing papers authored by Sonia Vega
This map shows the geographic impact of Sonia Vega'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 Sonia Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Vega more than expected).
Fields of papers citing papers by Sonia Vega
This network shows the impact of papers produced by Sonia Vega. 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 Sonia Vega. The network helps show where Sonia Vega may publish in the future.
Co-authorship network of co-authors of Sonia Vega
This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Vega. A scholar is included among the top collaborators of Sonia Vega 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 Sonia Vega. Sonia Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 26 | |
| 3 | Metastatic Colonization Requires the Repression of the Epithelial-Mesenchymal Transition Inducer Prrx1breakdown → | 753 |
| 4 | 1 | |
| 5 | 114 | |
| 6 | 51 | |
| 7 | 51 | |
| 8 | 74 | |
| 9 | 368 | |
| 10 | 13 | |
| 11 | Snail blocks the cell cycle and confers resistance to cell deathbreakdown → | 687 |
| 12 | 29 | |
| 13 | The epithelial mesenchymal transition confers resistance to the apoptotic effects of transforming growth factor Beta in fetal rat hepatocytes. | 178 |
| 14 | 19 | |
| 15 | 53 | |
| 16 | 15 |
About Sonia Vega
Sonia Vega is a scholar working on Hepatology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Liver physiology and pathology (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (504 citations) and Molecular Biology (1.6k citations). Sonia Vega has collaborated with scholars based in Spain, United States and France. Frequent co-authors include M. Ángela Nieto, Oscar H. Ocaña, Isabel Fabregat, Francisco Valdés, Amparo Cano, Aixa V. Morales, Alejandro Barrallo‐Gimeno, Gema Moreno‐Bueno, Hervé Acloque and Francisco Portillo. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development and The EMBO Journal.
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.