Frea Coun

552 citations
5 papers · 434 · h-index 5

Impact in

    • Neuroscience and Neuropharmacology Research
    • Genetic Neurodegenerative Diseases
    • Nerve injury and regeneration
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

Frea Coun

5 papers receiving 425 citations

Peers

Frea Coun
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 154
  • Neurology 113
  • Neurology 37
  • Developmental Neuroscience 16
  • Physiology 83
Replace Christopher Eggett with:
Christopher Eggett United Kingdom
Renee C. Gaspar United States
Carina Weissmann Argentina
Céline Vermeiren Belgium
Minjuan Bian China
Seung‐Pil Yang Canada
Maureen Gatherer United Kingdom
Teresa Rodríguez-Martín United Kingdom
Victorio M. Pozo Devoto Argentina
Costanza Simoncini Italy
Frea Coun relative to Christopher Eggett United Kingdom Christopher Eggett's profile →
Citations per field
00.5×1.5×2.1×
Christopher Eggett · 1×
Citations per year

Countries citing papers authored by Frea Coun

Since Specialization
Citations

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

Fields of papers citing papers by Frea Coun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown

About Frea Coun

Frea Coun is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pathology and Forensic Medicine, Neurology and Oncology, having authored 5 papers that have together received 434 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Neurological disorders and treatments (1 paper), Nuclear Receptors and Signaling (1 paper), Nerve injury and regeneration (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (154 citations), Neurology (113 citations), Neurology (37 citations), Developmental Neuroscience (16 citations) and Physiology (83 citations). Frea Coun has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Veerle Baekelandt, Cindy Casteels, Koen Van Laere, Yicheng Ni, Jean‐Marc Taymans, Caroline Vandeputte, Chris Van den Haute, Adrian Cohen, David F. Fischer and Marcel Hoffmann. Their work appears in journals such as BMC Neuroscience, Molecular Therapy, Gene Therapy, NMR in Biomedicine and Science.

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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