Benjamı́n Torrejón-Escribano
- Molecular Biology
- Physiology top 5%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Neurology top 10%
- Co-authors
- Isidró FerrerMargarita CarmonaEsther DalfóMontse OlivéDolores MorenoPaula Garcia‐EsparciaIrene López‐GonzálezJuan Blasi
- Topics
- Alzheimer's disease research and treatments (8 papers)Neuroscience and Neuropharmacology Research (6 papers)Cellular transport and secretion (4 papers)
- Cited by
- NeurologyPhysiologySensory Systems
In The Last Decade
Benjamı́n Torrejón-Escribano
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 449
- Physiology 439
- Cellular and Molecular Neuroscience 264
- Neurology 201
- Neurology 185
Countries citing papers authored by Benjamı́n Torrejón-Escribano
This map shows the geographic impact of Benjamı́n Torrejón-Escribano'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 Benjamı́n Torrejón-Escribano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamı́n Torrejón-Escribano more than expected).
Fields of papers citing papers by Benjamı́n Torrejón-Escribano
This network shows the impact of papers produced by Benjamı́n Torrejón-Escribano. 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 Benjamı́n Torrejón-Escribano. The network helps show where Benjamı́n Torrejón-Escribano may publish in the future.
Co-authorship network of co-authors of Benjamı́n Torrejón-Escribano
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamı́n Torrejón-Escribano. A scholar is included among the top collaborators of Benjamı́n Torrejón-Escribano 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 Benjamı́n Torrejón-Escribano. Benjamı́n Torrejón-Escribano 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 | 5 | |
| 3 | 13 | |
| 4 | 49 | |
| 5 | 45 | |
| 6 | 9 | |
| 7 | 44 | |
| 8 | 25 | |
| 9 | 22 | |
| 10 | 20 | |
| 11 | 72 | |
| 12 | 66 | |
| 13 | 35 | |
| 14 | 31 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 82 | |
| 18 | 45 | |
| 19 | 74 | |
| 20 | 7 |
About Benjamı́n Torrejón-Escribano
Benjamı́n Torrejón-Escribano is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Neurology (201 citations), Physiology (439 citations) and Sensory Systems (81 citations). Benjamı́n Torrejón-Escribano has collaborated with scholars based in Spain, Canada and Italy. Frequent co-authors include Isidró Ferrer, Margarita Carmona, Esther Dalfó, Montse Olivé, Dolores Moreno, Paula Garcia‐Esparcia, Irene López‐González, Juan Blasi, Inmaculada Gómez de Aranda and Gábor G. Kovács. Their work appears in journals such as Brain Research, FEBS Letters and Endocrinology.
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.