Perla Moreno‐Castilla
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Physiology
- Molecular Biology
- Neurology top 10%
- Co-authors
- Federico Bermúdez‐RattoniKioko Guzmán‐RamosIsraela BalderasMartha L. EscobarLuis F. Rodríguez-DuránFrank M. LaFerlaJames L. McGaughHilda Martínez‐Coria
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Memory and Neural Mechanisms (10 papers)Alzheimer's disease research and treatments (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNature NeuroscienceInternational Journal of Molecular Sciences
- Partner nations
- MexicoUnited StatesGermany
In The Last Decade
Perla Moreno‐Castilla
15 papers receiving 494 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 282
- Cognitive Neuroscience 234
- Physiology 134
- Molecular Biology 130
- Neurology 74
Countries citing papers authored by Perla Moreno‐Castilla
This map shows the geographic impact of Perla Moreno‐Castilla'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 Perla Moreno‐Castilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Perla Moreno‐Castilla more than expected).
Fields of papers citing papers by Perla Moreno‐Castilla
This network shows the impact of papers produced by Perla Moreno‐Castilla. 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 Perla Moreno‐Castilla. The network helps show where Perla Moreno‐Castilla may publish in the future.
Co-authorship network of co-authors of Perla Moreno‐Castilla
This figure shows the co-authorship network connecting the top 25 collaborators of Perla Moreno‐Castilla. A scholar is included among the top collaborators of Perla Moreno‐Castilla 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 Perla Moreno‐Castilla. Perla Moreno‐Castilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 35 | |
| 3 | 3 | |
| 4 | 32 | |
| 5 | 28 | |
| 6 | 7 | |
| 7 | 28 | |
| 8 | 5 | |
| 9 | 24 | |
| 10 | 41 | |
| 11 | 66 | |
| 12 | 39 | |
| 13 | 103 | |
| 14 | 31 | |
| 15 | 52 |
About Perla Moreno‐Castilla
Perla Moreno‐Castilla is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biological Psychiatry, having authored 15 papers that have together received 495 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (10 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (282 citations), Cognitive Neuroscience (234 citations) and Biological Psychiatry (26 citations). Perla Moreno‐Castilla has collaborated with scholars based in Mexico, United States and Germany. Frequent co-authors include Federico Bermúdez‐Rattoni, Kioko Guzmán‐Ramos, Israela Balderas, Martha L. Escobar, Luis F. Rodríguez-Durán, Frank M. LaFerla, James L. McGaugh, Hilda Martínez‐Coria, Fatuel Tecuapetla and Kauê Machado Costa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and International Journal of Molecular Sciences.
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.