Sandra Peña de Ortı́z
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Molecular Biology
- Behavioral Neuroscience top 2%
- Neurology top 5%
- Co-authors
- Keqin RenHong GeEdwin SantiniGregory J. QuirkAlcino J. SilvaSheena A. JosselynJeffrey H. KoganShoichi Masushige
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Nuclear Receptors and Signaling (9 papers)Neuroinflammation and Neurodegeneration Mechanisms (8 papers)
- Partner nations
- Puerto RicoUnited StatesSpain
In The Last Decade
Sandra Peña de Ortı́z
24 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 974
- Cognitive Neuroscience 731
- Molecular Biology 490
- Behavioral Neuroscience 267
- Neurology 234
Countries citing papers authored by Sandra Peña de Ortı́z
This map shows the geographic impact of Sandra Peña de Ortı́z'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 Sandra Peña de Ortı́z with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Peña de Ortı́z more than expected).
Fields of papers citing papers by Sandra Peña de Ortı́z
This network shows the impact of papers produced by Sandra Peña de Ortı́z. 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 Sandra Peña de Ortı́z. The network helps show where Sandra Peña de Ortı́z may publish in the future.
Co-authorship network of co-authors of Sandra Peña de Ortı́z
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Peña de Ortı́z. A scholar is included among the top collaborators of Sandra Peña de Ortı́z 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 Sandra Peña de Ortı́z. Sandra Peña de Ortı́z is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 34 | |
| 3 | 10 | |
| 4 | 41 | |
| 5 | 15 | |
| 6 | 24 | |
| 7 | 60 | |
| 8 | 390 | |
| 9 | 45 | |
| 10 | 17 | |
| 11 | 11 | |
| 12 | 16 | |
| 13 | 51 | |
| 14 | 12 | |
| 15 | CREB required for the stability of new and reactivated fear memoriesbreakdown → | 505 |
| 16 | 58 | |
| 17 | 30 | |
| 18 | 71 | |
| 19 | 20 | |
| 20 | 16 |
About Sandra Peña de Ortı́z
Sandra Peña de Ortı́z is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Nuclear Receptors and Signaling (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). The work is most often cited by research in Behavioral Neuroscience (267 citations), Cellular and Molecular Neuroscience (974 citations) and Cognitive Neuroscience (731 citations). Sandra Peña de Ortı́z has collaborated with scholars based in Puerto Rico, United States and Spain. Frequent co-authors include Keqin Ren, Hong Ge, Edwin Santini, Gregory J. Quirk, Alcino J. Silva, Sheena A. Josselyn, Jeffrey H. Kogan, Shoichi Masushige, Satoshi Kida and Carmen S. Maldonado-Vlaar. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience 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.