Rosario Perona
- Cancer Research top 2%
- NF-κB Signaling Pathways 11
- Molecular Biology top 2%
- DNA Repair Mechanisms 12
- Protein Tyrosine Phosphatases 11
- Protein Kinase Regulation and GTPase Signaling 8
- RNA modifications and cancer 7
- PI3K/AKT/mTOR signaling in cancer 6
- Aging top 5%
- Oncology top 5%
- Cancer-related Molecular Pathways 8
- Cell Biology top 5%
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- Telomeres, Telomerase, and Senescence 19
- Co-authors
- Isabel Sánchez‐PérezJuan Carlos LacalSilvia MontanerRamón SerranoJosé Ramón MurguíaR BravoCristóbal Belda-IniestaJavier de Castro
- Journals
- Clinical & Translational Oncology (11 papers)Oncogene (8 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Rosario Perona
120 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 1.0k
- Molecular Biology 3.2k
- Aging 65
- Oncology 971
- Cell Biology 425
Countries citing papers authored by Rosario Perona
This map shows the geographic impact of Rosario Perona'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 Rosario Perona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosario Perona more than expected).
Fields of papers citing papers by Rosario Perona
This network shows the impact of papers produced by Rosario Perona. 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 Rosario Perona. The network helps show where Rosario Perona may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rosario Perona, 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 | 2024 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 15 | |
| 6 | 2019 | 26 | |
| 7 | 2016 | 12 | |
| 8 | 2015 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2014 | 23 | |
| 11 | 2012 | 21 | |
| 12 | 2012 | 135 | |
| 13 | 2010 | 1 | |
| 14 | 2008 | 38 | |
| 15 | 2004 | 179 | |
| 16 | 1999 | 76 | |
| 17 | 1998 | 88 | |
| 18 | 1996 | 38 | |
| 19 | Overexpression of PKC zeta in NIH3T3 cells does not induce cell transformation nor tumorigenicity and does not alter NF kappa B activity. | 1995 | 20 |
| 20 | 1992 | 52 |
About Rosario Perona
Rosario Perona is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 121 papers that have together received 4.7k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (19 papers), DNA Repair Mechanisms (12 papers), NF-κB Signaling Pathways (11 papers), Protein Tyrosine Phosphatases (11 papers), Cancer-related Molecular Pathways (8 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), RNA modifications and cancer (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (3.2k citations) and Aging (65 citations). Rosario Perona has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Isabel Sánchez‐Pérez, Juan Carlos Lacal, Silvia Montaner, Ramón Serrano, José Ramón Murguía, R Bravo, Cristóbal Belda-Iniesta, Javier de Castro, Carmen G. Vallejo and Cristina Manguán-García. Their work appears in journals such as Clinical & Translational Oncology, Oncogene, Journal of Biological Chemistry, PLoS ONE and Journal of Clinical Oncology.
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.