Frida Loría

2.5k citations
28 papers · 1.9k · h-index 19

Impact in

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

Papers in

Frida Loría

28 papers receiving 1.9k citations

Peers

Frida Loría
Comparison fields: 5 of 94
  • Biological Psychiatry 332
  • Neurology 417
  • Pharmacology 673
  • Behavioral Neuroscience 133
  • Cellular and Molecular Neuroscience 563
Replace Ricardo J. Rodrigues with:
Ricardo J. Rodrigues Portugal
Valeria Studer Italy
H.W.M. Steinbusch Netherlands
Shiping Zou United States
Tuan Trang Canada
Tracey A. Ignatowski United States
Robert N. Pechnick United States
Yutaka Nakagawa Japan
Françoise Saurini France
Frida Loría relative to Ricardo J. Rodrigues Portugal Ricardo J. Rodrigues's profile →
Citations per field
00.5×3.4×
Ricardo J. Rodrigues · 1×
Citations per year

Countries citing papers authored by Frida Loría

Since Specialization
Citations

This map shows the geographic impact of Frida Loría'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 Frida Loría with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frida Loría more than expected).

Fields of papers citing papers by Frida Loría

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frida Loría. 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 Frida Loría. The network helps show where Frida Loría may publish in the future.

Co-authors

The 25 scholars most cited alongside Frida Loría, 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 Frida Loría Line = papers co-authored together Frida Loría links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016294
2 2017206
3 2009144
4 2006131
5 2008125
6 2012106
7 200898
8 200898
9 200790
10 200881
11 201970
12 200967
13 201462
14 201161
15 201154
16 202052
17 200837
18 201632
19 201431
20 200718

About Frida Loría

Frida Loría is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Biological Psychiatry, Neurology and Pathology and Forensic Medicine, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (13 papers), Tryptophan and brain disorders (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Genetic Neurodegenerative Diseases (4 papers), Alzheimer's disease research and treatments (3 papers), Immune Cell Function and Interaction (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Biological Psychiatry (332 citations), Neurology (417 citations), Pharmacology (673 citations), Behavioral Neuroscience (133 citations) and Cellular and Molecular Neuroscience (563 citations). Frida Loría has collaborated with scholars based in Spain, France and Mexico. Frequent co-authors include Leyre Mestre, Carmen Guaza, Fernando Correa, Fabián Docagne, Míriam Hernangómez, Chiara Zurzolo, Ronald Melki, Luc Bousset, Jessica Vargas and Vincenzo Di Marzo. Their work appears in journals such as Neurobiology of Disease, Journal of Neuroinflammation, The EMBO Journal, Glia and Molecular and Cellular Neuroscience.

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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