Cristina Pantoja
- Molecular Biology top 10%
- Physiology top 5%
- Oncology top 10%
- Cancer Research
- Immunology
- Co-authors
- Manuel SerranoLluc MosteiroAlba De MartinoMaría AbadPablo J. Fernández-MarcosGonzalo Goméz-LópezDolores MartínezMaribel Muñoz‐Martín
- Topics
- Cancer-related Molecular Pathways (8 papers)Epigenetics and DNA Methylation (4 papers)Pluripotent Stem Cells Research (3 papers)
- Cited by
- AgingPhysiologyMolecular Biology
- Journals
- NatureScienceGenes & Development
In The Last Decade
Cristina Pantoja
18 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.0k
- Physiology 477
- Oncology 293
- Cancer Research 156
- Immunology 154
Countries citing papers authored by Cristina Pantoja
This map shows the geographic impact of Cristina Pantoja'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 Cristina Pantoja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Pantoja more than expected).
Fields of papers citing papers by Cristina Pantoja
This network shows the impact of papers produced by Cristina Pantoja. 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 Cristina Pantoja. The network helps show where Cristina Pantoja may publish in the future.
Co-authorship network of co-authors of Cristina Pantoja
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Pantoja. A scholar is included among the top collaborators of Cristina Pantoja 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 Cristina Pantoja. Cristina Pantoja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 136 | |
| 3 | 12 | |
| 4 | Tissue damage and senescence provide critical signals for cellular reprogramming in vivobreakdown → | 437 |
| 5 | Detección de las mutaciones 35delG y A1555G en discapacitados auditivos de provincia La Habana | 1 |
| 6 | 377 | |
| 7 | 9 | |
| 8 | Sistema integrado de vigilancia para la prevención de dengue | 4 |
| 9 | El componente ambiental de la vigilancia integrada para el control y la prevención del dengue | 5 |
| 10 | 35 | |
| 11 | 37 | |
| 12 | 106 | |
| 13 | 64 | |
| 14 | 17 | |
| 15 | 6 | |
| 16 | 9 | |
| 17 | 8 | |
| 18 | 158 |
About Cristina Pantoja
Cristina Pantoja is a scholar working on Oncology, Biotechnology and Sensory Systems, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Epigenetics and DNA Methylation (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Aging (150 citations), Physiology (477 citations) and Molecular Biology (1.0k citations). Cristina Pantoja has collaborated with scholars based in Spain, Cuba and Japan. Frequent co-authors include Manuel Serrano, Lluc Mosteiro, Alba De Martino, María Abad, Pablo J. Fernández-Marcos, Gonzalo Goméz-López, Dolores Martínez, Maribel Muñoz‐Martín, Orlando Domı́nguez and Miguel Rovira. Their work appears in journals such as Nature, Science and Genes & Development.
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.