Daniela Elgueta
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Nerve injury and regeneration 4
- Nuclear Receptors and Signaling 2
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- Neuroinflammation and Neurodegeneration Mechanisms 5
- Parkinson's Disease Mechanisms and Treatments 3
- Co-authors
- Rodrigo Pacheco (9 shared papers)Hugo González (6 shared papers)Francisco Contreras (6 shared papers)Carolina Prado (5 shared papers)Sebastián Bernales (2 shared papers)Álvaro Lladser (2 shared papers)Andrés A. Herrada (1 shared paper)Pablo Díaz (1 shared paper)
In The Last Decade
Daniela Elgueta
12 papers receiving 928 citations
Peers
Comparison fields: 5 of 82
- Biological Psychiatry 209
- Neurology 421
- Behavioral Neuroscience 60
- Neurology 207
- Cellular and Molecular Neuroscience 206
Countries citing papers authored by Daniela Elgueta
This map shows the geographic impact of Daniela Elgueta'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 Daniela Elgueta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Elgueta more than expected).
Fields of papers citing papers by Daniela Elgueta
This network shows the impact of papers produced by Daniela Elgueta. 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 Daniela Elgueta. The network helps show where Daniela Elgueta may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Elgueta, 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 | 2014 | 276 | |
| 2 | 2013 | 124 | |
| 3 | 2019 | 112 | |
| 4 | 2012 | 110 | |
| 5 | 2016 | 69 | |
| 6 | 2019 | 66 | |
| 7 | 2016 | 51 | |
| 8 | 2019 | 43 | |
| 9 | 2015 | 42 | |
| 10 | 2022 | 31 | |
| 11 | 2022 | 9 | |
| 12 | 2024 | 6 | |
| 13 | 2025 | 0 |
About Daniela Elgueta
Daniela Elgueta is a scholar working on Cellular and Molecular Neuroscience, Neurology, Immunology, Neurology and Molecular Biology, having authored 13 papers that have together received 939 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Nerve injury and regeneration (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), T-cell and B-cell Immunology (2 papers), Tryptophan and brain disorders (2 papers), Nuclear Receptors and Signaling (2 papers), Immune Cell Function and Interaction (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Biological Psychiatry (209 citations), Neurology (421 citations), Behavioral Neuroscience (60 citations), Neurology (207 citations) and Cellular and Molecular Neuroscience (206 citations). Daniela Elgueta has collaborated with scholars based in Chile, Spain and Nicaragua. Frequent co-authors include Rodrigo Pacheco, Hugo González, Francisco Contreras, Carolina Prado, Sebastián Bernales, Álvaro Lladser, Andrés A. Herrada, Pablo Díaz, Gonzalo I. Cancino and Marı́a Rosa Bono. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Journal of Neuroimmunology, Scientific Reports and Journal of Neuroinflammation.
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.