Marisol Gallardo

550 citations
6 papers · 343 · h-index 5

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Nuclear Receptors and Signaling
    • Genetic Neurodegenerative Diseases

Papers in

Marisol Gallardo

6 papers receiving 337 citations

Peers

Marisol Gallardo
Comparison fields: 5 of 52
  • Neurology 239
  • Cellular and Molecular Neuroscience 162
  • Neurology 55
  • Catalysis 19
  • Physiology 37
Replace Chan Chen with:
Chan Chen China
Roberto Weiser United States
R. Marconi Italy
Sara af Bjerkén Sweden
Yunna Li China
G. Volpe Italy
J. Sautter Germany
Wojciech Bobela Switzerland
Gioia Marino Italy
José Luis Etcheverry Argentina
Marisol Gallardo relative to Chan Chen China Chan Chen's profile →
Citations per field
00.5×4.8×
Chan Chen · 1×
Citations per year

Countries citing papers authored by Marisol Gallardo

Since Specialization
Citations

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

Fields of papers citing papers by Marisol Gallardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2003191
2 200380
3 200533
4 202226
5 200311
6 20042

About Marisol Gallardo

Marisol Gallardo is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Catalysis and Physiology, having authored 6 papers that have together received 343 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers), Alzheimer's disease research and treatments (1 paper), Catalysis and Oxidation Reactions (1 paper), Nuclear Receptors and Signaling (1 paper), Catalytic Processes in Materials Science (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Neurology (239 citations), Cellular and Molecular Neuroscience (162 citations), Neurology (55 citations), Catalysis (19 citations) and Physiology (37 citations). Marisol Gallardo has collaborated with scholars based in United States, Spain and Venezuela. Frequent co-authors include Eduardo Tolosa, Miguel Coelho, Amanda Singleton, Katrina Gwinn, Melissa Hanson, Roberto Weiser, Dena G. Hernandez, Bernard Ravina, John Hardy and Andrew Singleton. Their work appears in journals such as Parkinsonism & Related Disorders, Movement Disorders, Chemical Engineering Journal Advances, Annals of Neurology and Neuroscience Letters.

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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