Verónica Murta

457 citations
12 papers · 369 · h-index 10

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Long-Term Effects of COVID-19
    • Tryptophan and brain disorders

Papers in

Verónica Murta

12 papers receiving 365 citations

Peers

Verónica Murta
Comparison fields: 5 of 74
  • Neurology 194
  • Biological Psychiatry 35
  • Developmental Neuroscience 31
  • Neurology 100
  • Cellular and Molecular Neuroscience 52
Replace Javier María Peralta Ramos with:
Javier María Peralta Ramos Argentina
Inês Marques-Morgado Portugal
Rajaneesh K. Gupta India
Çiğdem Acıoğlu United States
Julia Lier Germany
Dongxu Zhai Canada
Ram Kuwar United States
Jacob Hudobenko United States
Benito Minjarez Mexico
Leon Hosang Germany
Verónica Murta relative to Javier María Peralta Ramos Argentina Javier María Peralta Ramos's profile →
Citations per field
00.5×1.5×
Javier María Peralta Ramos · 1×
Citations per year

Countries citing papers authored by Verónica Murta

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Murta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Verónica Murta, 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 Verónica Murta Line = papers co-authored together Verónica Murta links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201789
2 202071
3 201955
4 201436
5 201232
6 201626
7 201714
8 201714
9 201110
10 201610
11 20128
12 20234

About Verónica Murta

Verónica Murta is a scholar working on Neurology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology, having authored 12 papers that have together received 369 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Multiple Sclerosis Research Studies (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA Interference and Gene Delivery (2 papers), Autism Spectrum Disorder Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Neurology (194 citations), Biological Psychiatry (35 citations), Developmental Neuroscience (31 citations), Neurology (100 citations) and Cellular and Molecular Neuroscience (52 citations). Verónica Murta has collaborated with scholars based in Argentina, Germany and Switzerland. Frequent co-authors include Alberto Javier Ramos, Alejandro Villarreal, Carina Cintia Ferrari, Jerónimo Lukin, Fernando J. Pitossi, Thierry Roger, Jerónimo Auzmendi, Analı́a Reinés, Flávia Carvalho Alcântara Gomes and Luis Barbeito. Their work appears in journals such as Frontiers in Cellular Neuroscience, Parkinson s Disease, Journal of Neuroimmunology, Journal of Neurochemistry and Brain Behavior and Immunity.

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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