Laura Cox

573 citations
7 papers · 432 · h-index 6

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 4
    • Neurological diseases and metabolism 1
    • Cerebrovascular and genetic disorders 1
    • Neurogenetic and Muscular Disorders Research 3

Laura Cox

7 papers receiving 426 citations

Peers

Laura Cox
Comparison fields: 5 of 53
  • Neurology 237
  • Genetics 150
  • Neurology 97
  • Hepatology 63
  • Cellular and Molecular Neuroscience 120
Replace Fuminobu Sugai with:
Fuminobu Sugai Japan
Alison Hogan Australia
Katrina J. Llewellyn United States
Mallikarjun Badadani United States
Christopher P Webster United Kingdom
Angéline Gaucherot France
Katie Moisse Canada
Kengo Fujita Japan
Eric Dec United States
Sayaka Teramoto Japan
Laura Cox relative to Fuminobu Sugai Japan Fuminobu Sugai's profile →
Citations per field
00.5×10×15×21×
Fuminobu Sugai · 1×
Citations per year

Countries citing papers authored by Laura Cox

Since Specialization
Citations

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

Fields of papers citing papers by Laura Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2010198
2 200684
3 201167
4 201153
5 201214
6 201112
7 20114

About Laura Cox

Laura Cox is a scholar working on Neurology, Genetics, Epidemiology, Hepatology and Organic Chemistry, having authored 7 papers that have together received 432 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Neurological diseases and metabolism (1 paper), Synthetic Organic Chemistry Methods (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Cerebrovascular and genetic disorders (1 paper). The work is most often cited by research in Neurology (237 citations), Genetics (150 citations), Neurology (97 citations), Hepatology (63 citations) and Cellular and Molecular Neuroscience (120 citations). Laura Cox has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Jean‐Pierre Allain, Pamela J. Shaw, Janine Kirby, Christine Burness, Paul G. Ince, Stephen B. Wharton, Paul R. Heath, Laura Ferraiuolo, Gerald Goodall and Hannah Hollinger. Their work appears in journals such as Journal of Medical Virology, Neurology, Current Opinion in Hematology, Neuropathology and Applied Neurobiology and PLoS ONE.

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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