Frida Loría

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

Impact in

Papers in

Frida Loría

28 papers receiving 1.8k citations

Peers

Frida Loría
Comparison fields: 5 of 96
  • Biological Psychiatry 357
  • Behavioral Neuroscience 206
  • Neurology 453
  • Pharmacology 692
  • Cellular and Molecular Neuroscience 595
Replace Eric J. Downer with:
Eric J. Downer Ireland
Valeria Studer Italy
Shiping Zou United States
Ricardo J. Rodrigues Portugal
Scott C. Steffensen United States
Anna M.W. Taylor Canada
David Martin United States
Joseph C. Biedenkapp United States
Tracey A. Ignatowski United States
Tuan Trang Canada
Frida Loría relative to Eric J. Downer Ireland Eric J. Downer's profile →
Citations per field
00.5×1.5×2.3×
Eric J. Downer · 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 2016282
2 2017199
3 2009144
4 2006129
5 2008124
6 2012106
7 200898
8 200897
9 200790
10 200881
11 201968
12 200967
13 201462
14 201161
15 201153
16 202049
17 200837
18 201632
19 201431
20 200718

About Frida Loría

Frida Loría is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Biological Psychiatry, Neurology and Molecular Biology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Tryptophan and brain disorders (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Genetic Neurodegenerative Diseases (4 papers), Alzheimer's disease research and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Biological Psychiatry (357 citations), Behavioral Neuroscience (206 citations), Neurology (453 citations), Pharmacology (692 citations) and Cellular and Molecular Neuroscience (595 citations). Frida Loría has collaborated with scholars based in Spain, France and Mexico. Frequent co-authors include Carmen Guaza, Leyre Mestre, Fabián Docagne, Fernando Correa, Míriam Hernangómez, Chiara Zurzolo, Ronald Melki, Luc Bousset, Jessica Vargas and Vincenzo Di Marzo. Their work appears in journals such as Neurobiology of Disease, Scientific Reports, Journal of Neuroinflammation, The EMBO Journal and Glia.

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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