Raúl Peña
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
-
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 14
- Cancer Cells and Metastasis 10
-
- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Antonio Garcı́a de Herreros (16 shared papers)Josep Baulida (6 shared papers)Félix Bonilla (4 shared papers)Mercedes Herrera (3 shared papers)Cristina Peña (3 shared papers)Lorena Alba‐Castellón (4 shared papers)José Ignacio Casal (3 shared papers)Mireia Duñach (3 shared papers)
- Journals
- Cancer Research (4 papers)Molecular Oncology (2 papers)Oncotarget (2 papers)Theranostics (1 paper)Nature Cancer (1 paper)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Raúl Peña
19 papers receiving 695 citations
Peers
Comparison fields: 5 of 72
- Oncology 319
- Cancer Research 162
- Molecular Biology 350
- Immunology 103
- Cell Biology 66
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 106 | |
| 2 | 2018 | 89 | |
| 3 | 2016 | 70 | |
| 4 | 2013 | 67 | |
| 5 | 2020 | 63 | |
| 6 | 2020 | 51 | |
| 7 | 2022 | 49 | |
| 8 | 2018 | 32 | |
| 9 | 2010 | 29 | |
| 10 | 2014 | 26 | |
| 11 | 2019 | 23 | |
| 12 | 2021 | 23 | |
| 13 | 2023 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2021 | 13 | |
| 16 | 2023 | 8 | |
| 17 | 2015 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 0 |
About Raúl Peña
Raúl Peña is a scholar working on Oncology, Cancer Research, Molecular Biology, Biotechnology and Immunology, having authored 21 papers that have together received 700 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Cancer, Hypoxia, and Metabolism (5 papers), Fibroblast Growth Factor Research (4 papers), Epigenetics and DNA Methylation (3 papers), Immune cells in cancer (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer Research and Treatments (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Oncology (319 citations), Cancer Research (162 citations), Molecular Biology (350 citations), Immunology (103 citations) and Cell Biology (66 citations). Raúl Peña has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Antonio Garcı́a de Herreros, Josep Baulida, Félix Bonilla, Mercedes Herrera, Cristina Peña, Lorena Alba‐Castellón, José Ignacio Casal, Mireia Duñach, Jordina Loubat‐Casanovas and Jelena Stanisavljević. Their work appears in journals such as Cancer Research, Molecular Oncology, Oncotarget, Theranostics and Nature Cancer.
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.