Daniela Elgueta

1.2k citations
12 papers · 919 · h-index 10

Impact in

    • Tryptophan and brain disorders
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Daniela Elgueta

12 papers receiving 908 citations

Peers

Daniela Elgueta
Comparison fields: 5 of 83
  • Biological Psychiatry 219
  • Neurology 471
  • Behavioral Neuroscience 65
  • Neurology 215
  • Cellular and Molecular Neuroscience 222
Replace Nataša Kuštrimović with:
Nataša Kuštrimović Italy
Ana Feliú Spain
Sara Bachiller Spain
Kumi Nagamoto‐Combs United States
Myungjin Jo South Korea
Young Cheul Chung South Korea
Dirk Luchtman Canada
Darío Tejera Germany
Aishe Kurti United States
Zhuoran Yin United States
Daniela Elgueta relative to Nataša Kuštrimović Italy Nataša Kuštrimović's profile →
Citations per field
00.5×2.6×
Nataša Kuštrimović · 1×
Citations per year

Countries citing papers authored by Daniela Elgueta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniela Elgueta Line = papers co-authored together Daniela Elgueta links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2014275
2 2013123
3 2019109
4 2012107
5 201667
6 201964
7 201651
8 201942
9 201541
10 202228
11 20227
12 20245

About Daniela Elgueta

Daniela Elgueta is a scholar working on Cellular and Molecular Neuroscience, Neurology, Immunology, Neurology and Molecular Biology, having authored 12 papers that have together received 919 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Nerve injury and regeneration (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Tryptophan and brain disorders (2 papers), Nuclear Receptors and Signaling (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Biological Psychiatry (219 citations), Neurology (471 citations), Behavioral Neuroscience (65 citations), Neurology (215 citations) and Cellular and Molecular Neuroscience (222 citations). Daniela Elgueta has collaborated with scholars based in Chile, Spain and Canada. Frequent co-authors include Rodrigo Pacheco, Hugo González, Francisco Contreras, Carolina Prado, Sebastián Bernales, Álvaro Lladser, Andrés A. Herrada, Pablo Díaz, Marta Aymerich and Soledad Matus. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Journal of Neuroimmunology, Journal of Neuroinflammation and Frontiers in Cell and Developmental Biology.

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.

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