Penélope Aguilera
- Biological Psychiatry top 5%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Neurological Disease Mechanisms and Treatments 3
- Behavioral Neuroscience top 5%
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine 7
- Developmental Neuroscience top 10%
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- Neuroscience and Neuropharmacology Research 5
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- Calcium signaling and nucleotide metabolism 4
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- Amino Acid Enzymes and Metabolism 3
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- Garlic and Onion Studies 3
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- Diet, Metabolism, and Disease 3
- Co-authors
- Iván Alquisiras-BurgosMónica Espinoza-RojoAlma Ortíz-PlataMartha-Eugenia Ruiz‐TachiquínMaría Elena Chánez‐CárdenasLuis Miguel García‐SeguraGabriel OlmosPedro Tranque
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Brain Research (2 papers)
In The Last Decade
Penélope Aguilera
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Biological Psychiatry 73
- Neurology 201
- Behavioral Neuroscience 82
- Geriatrics and Gerontology 73
- Developmental Neuroscience 61
Countries citing papers authored by Penélope Aguilera
This map shows the geographic impact of Penélope Aguilera'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 Penélope Aguilera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Penélope Aguilera more than expected).
Fields of papers citing papers by Penélope Aguilera
This network shows the impact of papers produced by Penélope Aguilera. 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 Penélope Aguilera. The network helps show where Penélope Aguilera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Penélope Aguilera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 9 | |
| 4 | 2020 | 13 | |
| 5 | 2020 | 79 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 96 | |
| 9 | 2017 | 4 | |
| 10 | 2013 | 14 | |
| 11 | 2013 | 30 | |
| 12 | 2013 | 15 | |
| 13 | 2013 | 14 | |
| 14 | 2011 | 51 | |
| 15 | 2010 | 32 | |
| 16 | Detección temprana y altamente sensible de citomegalovirus en muestras de plasma humano VIH-positivas | 2009 | 1 |
| 17 | 2009 | 46 | |
| 18 | 1999 | 11 | |
| 19 | 1987 | 13 | |
| 20 | 1987 | 42 |
About Penélope Aguilera
Penélope Aguilera is a scholar working on Geriatrics and Gerontology, Neurology and Physiology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Calcium signaling and nucleotide metabolism (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Garlic and Onion Studies (3 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Biological Psychiatry (73 citations), Neurology (201 citations) and Behavioral Neuroscience (82 citations). Penélope Aguilera has collaborated with scholars based in Mexico, Spain and Canada. Frequent co-authors include Iván Alquisiras-Burgos, Mónica Espinoza-Rojo, Alma Ortíz-Plata, Martha-Eugenia Ruiz‐Tachiquín, María Elena Chánez‐Cárdenas, Luis Miguel García‐Segura, Gabriel Olmos, Pedro Tranque, José Pedraza-Chaverrı́ and Francisca Pérez‐Severiano. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.
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.