Bashayer Al Mubarak

516 citations
7 papers · 256 · 1 hit paper · h-index 4

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 3
    • Neurological diseases and metabolism 2
    • Neurological disorders and treatments 1
    • Hearing, Cochlea, Tinnitus, Genetics 1

Bashayer Al Mubarak

7 papers receiving 251 citations

Bashayer Al Mubarak's Hit Papers

Multi-ancestry genome-wide association meta-analysis of Parkinson’s disease 2023 · 123 citations
1230+1+2Years since publication4080120

Peers

Bashayer Al Mubarak
Comparison fields: 5 of 52
  • Neurology 119
  • Neurology 44
  • Cellular and Molecular Neuroscience 41
  • Sensory Systems 8
  • Physiology 39
Replace Vanessa Pitz with:
Vanessa Pitz United Kingdom
Alejandro Martínez-Carrasco United Kingdom
Ignacio Juan Keller Sarmiento United States
Sinem Tunç Germany
Ashwin Ashok Kumar Sreelatha Germany
A. Brice France
Etsuro Nakanishi Japan
Nelson Yuk-Fai Cheung United Kingdom
Kaileigh Murphy United States
Sumit Dey United Kingdom
Bashayer Al Mubarak relative to Vanessa Pitz United Kingdom Vanessa Pitz's profile →
Citations per field
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Vanessa Pitz · 1×
Citations per year

Countries citing papers authored by Bashayer Al Mubarak

Since Specialization
Citations

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

Fields of papers citing papers by Bashayer Al Mubarak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bashayer Al Mubarak. 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 Bashayer Al Mubarak. The network helps show where Bashayer Al Mubarak may publish in the future.

Co-authors

The 7 scholars most cited alongside Bashayer Al Mubarak, 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 Bashayer Al Mubarak Line = papers co-authored together Bashayer Al Mubarak links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Multi-ancestry genome-wide association meta-analysis of Parkinson’s disease
Hit paper breakdown →
2023123
2 202393
3 202323
4
USH1G with unique retinal findings caused by a novel truncating mutation identified by genome-wide linkage analysis.
201210
5 20253
6 20252
7 20252

About Bashayer Al Mubarak

Bashayer Al Mubarak is a scholar working on Neurology, Neurology, Sensory Systems, Genetics and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 256 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (3 papers), Genetic Associations and Epidemiology (2 papers), Neurological diseases and metabolism (2 papers), Genomic variations and chromosomal abnormalities (1 paper), RNA regulation and disease (1 paper), Hearing, Cochlea, Tinnitus, Genetics (1 paper), Nuclear Receptors and Signaling (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Neurology (119 citations), Neurology (44 citations), Cellular and Molecular Neuroscience (41 citations), Sensory Systems (8 citations) and Physiology (39 citations). Bashayer Al Mubarak has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include Shelley J. Kennedy, Faiqa Imtiaz, Mohammed A. Al‐Owain, Khalid F. Tabbara, Brian F. Meyer, Faisal Saeed Al-Qahtani and Khushnooda Ramzan. Their work appears in journals such as npj Parkinson s Disease, The Lancet Neurology, Nature Genetics and PubMed.

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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