Mario Ezquerra

7.9k citations
85 papers · 3.0k indexed · 1 hit paper · h-index 28

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 61
    • Neurological diseases and metabolism 18
    • Neurological disorders and treatments 6
    • Nuclear Receptors and Signaling 16
    • Genetic Neurodegenerative Diseases 6

Mario Ezquerra

85 papers receiving 3.0k citations

Hit Papers

Disease‐specific phenotypes in dopamine neurons from human iPS‐based models of genetic and sporadic Parkinson's disease 2012 · 442 citations
4422012202620162021100200300400

Peers

Mario Ezquerra
Comparison fields: 5 of 96
  • Neurology 1.7k
  • Neurology 542
  • Cellular and Molecular Neuroscience 782
  • Physiology 1.1k
  • Aging 38
Replace Marcel van der Brug with:
Marcel van der Brug United States
Maria Xilouri Greece
Hidefumi Ito Japan
Alessio Di Fonzo Italy
Hardy J. Rideout United States
Toshitaka Kawarai Canada
Marcel P. van der Brug United States
Daniel Alvarez‐Fischer Germany
Ebba Lohmann Türkiye
Luc Dupuis France
Mario Ezquerra relative to Marcel van der Brug United States Marcel van der Brug's profile →
Citations per field
00.5×1.5×
Marcel van der Brug · 1×
Citations per year

Countries citing papers authored by Mario Ezquerra

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ezquerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20237
3 20221
4 202211
5 202217
6 202025
7 201918
8 201927
9 201915
10 201818
11 201646
12 201517
13 201115
14 200821
15 20076
16 200610
17 200357
18 200339
19 200120
20 199949

About Mario Ezquerra

Mario Ezquerra is a scholar working on Neurology, Neurology, Cellular and Molecular Neuroscience, Physiology and Complementary and alternative medicine, having authored 85 papers that have together received 3.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (61 papers), Alzheimer's disease research and treatments (31 papers), Neurological diseases and metabolism (18 papers), Nuclear Receptors and Signaling (16 papers), RNA regulation and disease (10 papers), Lysosomal Storage Disorders Research (7 papers), Genetic Neurodegenerative Diseases (6 papers) and Neurological disorders and treatments (6 papers). The work is most often cited by research in Neurology (1.7k citations), Neurology (542 citations), Cellular and Molecular Neuroscience (782 citations), Physiology (1.1k citations) and Aging (38 citations). Mario Ezquerra has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Eduardo Tolosa, Marı́a José Martı́, Francesc Valldeoriola, Carles Gaig, Rubén Fernández‐Santiago, Rafael Oliva, Esteban Muñoz, José Luís Molinuevo, Eduard Tolosa and Pau Pástor. Their work appears in journals such as Movement Disorders, Annals of Neurology, Neurobiology of Aging, Molecular Neurobiology and Neurology.

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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