Frea Coun

548 citations
5 papers · 423 · 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 415 citations

Peers

Frea Coun
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 166
  • Neurology 121
  • Neurology 40
  • Developmental Neuroscience 16
  • Physiology 88
Replace Yi Jayne Tan with:
Yi Jayne Tan Singapore
Priya Gami‐Patel Netherlands
Laura Sanftner United States
Carina Weissmann Argentina
Virginie Dinet France
Victorio M. Pozo Devoto Argentina
Maritza Oñate United States
Patrick C. Kerstein United States
Viktoriya Bondarenko United States
Teresa Rodríguez-Martín United Kingdom
Frea Coun relative to Yi Jayne Tan Singapore Yi Jayne Tan's profile →
Citations per field
00.5×6.4×
Yi Jayne Tan · 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, Neurology, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 5 papers that have together received 423 indexed citations. Recurring topics across this work include Neurological disorders and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Alzheimer's disease research and treatments (1 paper), Nerve injury and regeneration (1 paper), Multiple Sclerosis Research Studies (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (166 citations), Neurology (121 citations), Neurology (40 citations), Developmental Neuroscience (16 citations) and Physiology (88 citations). Frea Coun has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Veerle Baekelandt, Koen Van Laere, Cindy Casteels, Yicheng Ni, Jean‐Marc Taymans, Caroline Vandeputte, Katrien Horré, André Delacourte, Chris Van den Haute and Marcel Hoffmann. Their work appears in journals such as Molecular Therapy, Gene Therapy, Science, BMC Neuroscience and NMR in Biomedicine.

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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