Pilar Sánchez‐Blázquez
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Physiology top 2%
- Pharmacology top 1%
- Cognitive Neuroscience top 5%
- Co-authors
- Javier GarzónMaría Rodríguez-MuñozEsther BerrocosoAlmudena López‐FandoAntonio García‐EspañaAna Vicente‐SánchezJ.A. MicóManuel Merlos
- Topics
- Neuropeptides and Animal Physiology (86 papers)Receptor Mechanisms and Signaling (70 papers)Pain Mechanisms and Treatments (50 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Pilar Sánchez‐Blázquez
125 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 2.9k
- Molecular Biology 2.4k
- Physiology 1.2k
- Pharmacology 628
- Cognitive Neuroscience 260
Countries citing papers authored by Pilar Sánchez‐Blázquez
This map shows the geographic impact of Pilar Sánchez‐Blázquez'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 Sánchez‐Blázquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pilar Sánchez‐Blázquez more than expected).
Fields of papers citing papers by Pilar Sánchez‐Blázquez
This network shows the impact of papers produced by Pilar Sánchez‐Blázquez. 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 Sánchez‐Blázquez. The network helps show where Pilar Sánchez‐Blázquez may publish in the future.
Co-authorship network of co-authors of Pilar Sánchez‐Blázquez
This figure shows the co-authorship network connecting the top 25 collaborators of Pilar Sánchez‐Blázquez. A scholar is included among the top collaborators of Pilar Sánchez‐Blázquez 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 Sánchez‐Blázquez. Pilar Sánchez‐Blázquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 18 | |
| 7 | 68 | |
| 8 | 31 | |
| 9 | 145 | |
| 10 | 98 | |
| 11 | 31 | |
| 12 | 29 | |
| 13 | 56 | |
| 14 | 78 | |
| 15 | 9 | |
| 16 | 8 | |
| 17 | 40 | |
| 18 | 6 | |
| 19 | 10 | |
| 20 | 11 |
About Pilar Sánchez‐Blázquez
Pilar Sánchez‐Blázquez is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 125 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (86 papers), Receptor Mechanisms and Signaling (70 papers) and Pain Mechanisms and Treatments (50 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Biological Psychiatry (178 citations) and Physiology (1.2k citations). Pilar Sánchez‐Blázquez has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Javier Garzón, María Rodríguez-Muñoz, Esther Berrocoso, Almudena López‐Fando, Antonio García‐España, Ana Vicente‐Sánchez, J.A. Micó, Manuel Merlos, Marián Castro and Cristina Alba‐Delgado. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.
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.