Daniel Macías

3.4k citations
14 papers · 2.4k · 1 hit paper · h-index 12

Impact in

  • Neurology top 0.5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Genetics top 5%
    • Genetic Associations and Epidemiology

Papers in

    • Parkinson's Disease Mechanisms and Treatments 12
    • Genetic Associations and Epidemiology 3
    • Genomics and Rare Diseases 1

Daniel Macías

14 papers receiving 2.4k citations

Daniel Macías's Hit Papers

Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies 2019 · 1.7k citations
1.7k0+2+4Years since publication5001k1.5k

Peers

Daniel Macías
Comparison fields: 5 of 84
  • Neurology 1.5k
  • Genetics 443
  • Neurology 104
  • Physiology 224
  • Psychiatry and Mental health 127
Replace Cristina Tejera‐Parrado with:
Cristina Tejera‐Parrado Spain
Elisabet Mondragón Rezola Spain
Débora María Cerdán Spain
Ben Middlehurst United Kingdom
Ana Gorostidi Pagola United States
María Teresa Boungiorno United Kingdom
Jesús Alberto Bergareche Yarza United Kingdom
Carlota Méndez‐del‐Barrio Spain
Esther Suárez-Sanmartín United Kingdom
Cici Feliz Spain
Daniel Macías relative to Cristina Tejera‐Parrado Spain Cristina Tejera‐Parrado's profile →
Citations per field
00.5×1.5×
Cristina Tejera‐Parrado · 1×
Citations per year

Countries citing papers authored by Daniel Macías

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Macías

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

14 of 14 papers shown
#Work
1
Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies
Hit paper breakdown →
20191727
2 2021146
3 2021138
4 2019117
5 201979
6 202167
7 201954
8 202226
9 202224
10 202020
11 202015
12 201814
13 202112
14 20214

About Daniel Macías

Daniel Macías is a scholar working on Neurology, Genetics, Cancer Research, Molecular Biology and Nuclear Energy and Engineering, having authored 14 papers that have together received 2.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Genetic Associations and Epidemiology (3 papers), Genomics and Rare Diseases (1 paper), MicroRNA in disease regulation (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), RNA Research and Splicing (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Neurology (1.5k citations), Genetics (443 citations), Neurology (104 citations), Physiology (224 citations) and Psychiatry and Mental health (127 citations). Daniel Macías has collaborated with scholars based in United Kingdom, Spain and United States. Their work appears in journals such as npj Parkinson s Disease, Nature Communications, The Lancet Neurology, Movement Disorders and JAMA 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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