Raúl Peña
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- Fibroblast Growth Factor Research 3
- Epigenetics and DNA Methylation 3
- TGF-β signaling in diseases 2
- RNA Research and Splicing 2
- Oncology 12
- Cancer Cells and Metastasis 11
- Co-authors
- Antonio Garcı́a de Herreros (17 shared papers)Félix Bonilla (5 shared papers)Cristina Peña (4 shared papers)Ana Belén Cid Álvarez (1 shared paper)Manuel Beltrán (1 shared paper)Isabel Puig (1 shared paper)Josep Baulida (5 shared papers)Mercedes Herrera (3 shared papers)
- Journals
- Cancer Research (4 papers)Molecular Oncology (2 papers)Genes & Development (1 paper)Neoplasia (1 paper)Oncogenesis (1 paper)
- Partner nations
- SpainUnited StatesSweden
In The Last Decade
Raúl Peña
17 papers receiving 1.0k citations
Raúl Peña's Hit Papers
Peers
Comparison fields: 5 of 76
- Cancer Research 535
- Oncology 313
- Molecular Biology 769
- Cell Biology 82
- Endocrinology 21
Countries citing papers authored by Raúl Peña
This map shows the geographic impact of Raúl Peña'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 Raúl Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raúl Peña more than expected).
Fields of papers citing papers by Raúl Peña
This network shows the impact of papers produced by Raúl Peña. 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 Raúl Peña. The network helps show where Raúl Peña may publish in the future.
Co-authors
The 25 scholars most cited alongside Raúl Peña, 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 | A natural antisense transcript regulates Zeb2/Sip1 gene expression during Snail1-induced epithelial–mesenchymal transition Hit paper breakdown → | 2008 | 511 |
| 2 | 2014 | 98 | |
| 3 | 2018 | 82 | |
| 4 | 2016 | 69 | |
| 5 | 2013 | 60 | |
| 6 | 2020 | 52 | |
| 7 | 2018 | 28 | |
| 8 | 2010 | 28 | |
| 9 | 2014 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2023 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 2021 | 10 | |
| 14 | 2016 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 4 |
About Raúl Peña
Raúl Peña is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Epidemiology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Cancer, Hypoxia, and Metabolism (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Fibroblast Growth Factor Research (3 papers), Epigenetics and DNA Methylation (3 papers), TGF-β signaling in diseases (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (535 citations), Oncology (313 citations), Molecular Biology (769 citations), Cell Biology (82 citations) and Endocrinology (21 citations). Raúl Peña has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Antonio Garcı́a de Herreros, Félix Bonilla, Cristina Peña, Ana Belén Cid Álvarez, Manuel Beltrán, Isabel Puig, Josep Baulida, Mercedes Herrera, Lorena Alba‐Castellón and J. Ignacio Casal. Their work appears in journals such as Cancer Research, Molecular Oncology, Genes & Development, Neoplasia and Oncogenesis.
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.