Casey O’Farrell

1.1k citations
15 papers · 906 · h-index 11

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Nuclear Receptors and Signaling
    • Genetic Neurodegenerative Diseases
    • Nerve injury and regeneration

Papers in

    • Parkinson's Disease Mechanisms and Treatments 6
    • Neurological disorders and treatments 4
    • Genetic Neurodegenerative Diseases 3
    • Nuclear Receptors and Signaling 3
    • Hereditary Neurological Disorders 2

Casey O’Farrell

15 papers receiving 888 citations

Peers

Casey O’Farrell
Comparison fields: 5 of 64
  • Neurology 583
  • Cellular and Molecular Neuroscience 419
  • Neurology 106
  • Cell Biology 125
  • Environmental Chemistry 74
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Casey O’Farrell relative to Yasumasa Kokubo Japan Yasumasa Kokubo's profile →
Citations per field
00.5×1.5×1.9×
Yasumasa Kokubo · 1×
Citations per year

Countries citing papers authored by Casey O’Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Casey O’Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey O’Farrell. 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 Casey O’Farrell. The network helps show where Casey O’Farrell may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2002481
2 2003132
3 202269
4 200451
5 200444
6 200224
7 200319
8 200918
9 200314
10 202414
11 200311
12 200411
13 200210
14 20227
15
Dominant torsinA mutations in cellular systems.
20041

About Casey O’Farrell

Casey O’Farrell is a scholar working on Neurology, Cellular and Molecular Neuroscience, Environmental Chemistry, Pollution and Health, Toxicology and Mutagenesis, having authored 15 papers that have together received 906 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological disorders and treatments (4 papers), Genetic Neurodegenerative Diseases (3 papers), Nuclear Receptors and Signaling (3 papers), Ubiquitin and proteasome pathways (3 papers), Toxic Organic Pollutants Impact (2 papers), Hereditary Neurological Disorders (2 papers) and Per- and polyfluoroalkyl substances research (2 papers). The work is most often cited by research in Neurology (583 citations), Cellular and Molecular Neuroscience (419 citations), Neurology (106 citations), Cell Biology (125 citations) and Environmental Chemistry (74 citations). Casey O’Farrell has collaborated with scholars based in United States and Australia. Frequent co-authors include Matthew James Farrer, Mark Cookson, Paul J. Lockhart, John Hardy, Melisa J. Baptista, Benjamin L. Wolozin, Kathryn J. Kehoe, Peter S. Choi, Leonard Petrucelli and Rili Ahmad. Their work appears in journals such as The Science of The Total Environment, Journal of Neurochemistry, Journal of Biological Chemistry, Movement Disorders and Marine Pollution Bulletin.

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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