Pilar González‐Cabo
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 5%
- Physiology
- Neurology top 10%
- Co-authors
- Francesc PalauFederico V. PallardóRafael P. Vázquez‐ManriqueCarlos Romá‐MateoDiana C. Muñoz-LassoBelén MolláPablo Calap-QuintanaPascual Sanz
- Topics
- Genetic Neurodegenerative Diseases (23 papers)Mitochondrial Function and Pathology (21 papers)Endoplasmic Reticulum Stress and Disease (9 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Pilar González‐Cabo
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 728
- Cellular and Molecular Neuroscience 512
- Cell Biology 218
- Physiology 159
- Neurology 157
Countries citing papers authored by Pilar González‐Cabo
This map shows the geographic impact of Pilar González‐Cabo'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 Pilar González‐Cabo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pilar González‐Cabo more than expected).
Fields of papers citing papers by Pilar González‐Cabo
This network shows the impact of papers produced by Pilar González‐Cabo. 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 Pilar González‐Cabo. The network helps show where Pilar González‐Cabo may publish in the future.
Co-authorship network of co-authors of Pilar González‐Cabo
This figure shows the co-authorship network connecting the top 25 collaborators of Pilar González‐Cabo. A scholar is included among the top collaborators of Pilar González‐Cabo 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 Pilar González‐Cabo. Pilar González‐Cabo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 28 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 42 | |
| 7 | 15 | |
| 8 | 60 | |
| 9 | 28 | |
| 10 | 17 | |
| 11 | 28 | |
| 12 | 67 | |
| 13 | 65 | |
| 14 | 40 | |
| 15 | 22 | |
| 16 | 29 | |
| 17 | 15 | |
| 18 | 11 | |
| 19 | 117 | |
| 20 | 30 |
About Pilar González‐Cabo
Pilar González‐Cabo is a scholar working on Aging, Cellular and Molecular Neuroscience and Cell Biology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (23 papers), Mitochondrial Function and Pathology (21 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (512 citations), Aging (44 citations) and Cell Biology (218 citations). Pilar González‐Cabo has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Francesc Palau, Federico V. Pallardó, Rafael P. Vázquez‐Manrique, Carlos Romá‐Mateo, Diana C. Muñoz-Lasso, Belén Mollá, Pablo Calap-Quintana, Pascual Sanz, Maria Adelaida García-Gimeno and María Dolores Moltó. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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.