Eva Cubillo
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
-
- TGF-β signaling in diseases 4
- Wnt/β-catenin signaling in development and cancer 4
- Kruppel-like factors research 3
- Epigenetics and DNA Methylation 2
- Advanced biosensing and bioanalysis techniques 1
- Metabolism, Diabetes, and Cancer 1
- Oncology 5
- Cancer Cells and Metastasis 5
- Co-authors
- Amparo Cano (9 shared papers)Héctor Peinado (4 shared papers)Gema Moreno‐Bueno (4 shared papers)Francisco Portillo (4 shared papers)David Olmeda (4 shared papers)Mireia Jordà (3 shared papers)Àngels Fabra (3 shared papers)M. Ángela Nieto (2 shared papers)
- Journals
- Journal of Cell Science (3 papers)Pharmaceutical Research (1 paper)Experimental Cell Research (1 paper)Nature Protocols (1 paper)PLoS ONE (1 paper)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Eva Cubillo
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Oncology 528
- Cancer Research 259
- Molecular Biology 794
- Cell Biology 109
- Immunology and Allergy 40
Countries citing papers authored by Eva Cubillo
This map shows the geographic impact of Eva Cubillo'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 Eva Cubillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Cubillo more than expected).
Fields of papers citing papers by Eva Cubillo
This network shows the impact of papers produced by Eva Cubillo. 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 Eva Cubillo. The network helps show where Eva Cubillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Cubillo, 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 | 261 | |
| 2 | 2005 | 190 | |
| 3 | 2009 | 179 | |
| 4 | 2004 | 133 | |
| 5 | 2004 | 122 | |
| 6 | 2009 | 101 | |
| 7 | 2010 | 65 | |
| 8 | 2013 | 45 | |
| 9 | 2007 | 33 | |
| 10 | 2015 | 5 |
About Eva Cubillo
Eva Cubillo is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Radiological and Ultrasound Technology and Genetics, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), TGF-β signaling in diseases (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Kruppel-like factors research (3 papers), Genetic factors in colorectal cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Oncology (528 citations), Cancer Research (259 citations), Molecular Biology (794 citations), Cell Biology (109 citations) and Immunology and Allergy (40 citations). Eva Cubillo has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Amparo Cano, Héctor Peinado, Gema Moreno‐Bueno, Francisco Portillo, David Olmeda, Mireia Jordà, Àngels Fabra, M. Ángela Nieto, Eva Valero and Antònia Vinyals. Their work appears in journals such as Journal of Cell Science, Pharmaceutical Research, Experimental Cell Research, Nature Protocols and PLoS ONE.
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.