Natalie E. Farrawell

876 citations
20 papers · 476 · h-index 14

Impact in

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

Papers in

    • Amyotrophic Lateral Sclerosis Research 16
    • Parkinson's Disease Mechanisms and Treatments 5
    • Neurogenetic and Muscular Disorders Research 10
    • Genetics and Neurodevelopmental Disorders 2

Natalie E. Farrawell

18 papers receiving 476 citations

Peers

Natalie E. Farrawell
Comparison fields: 5 of 62
  • Neurology 301
  • Genetics 158
  • Neurology 52
  • Molecular Biology 247
  • Cellular and Molecular Neuroscience 63
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Citations per year

Countries citing papers authored by Natalie E. Farrawell

Since Specialization
Citations

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

Fields of papers citing papers by Natalie E. Farrawell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie E. Farrawell. 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 Natalie E. Farrawell. The network helps show where Natalie E. Farrawell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015102
2 202043
3 201841
4 201840
5 202038
6 201931
7 201529
8 201822
9 201722
10 202121
11 201718
12 202116
13 202215
14 201513
15 202110
16 20229
17 20234
18 20222
19 20250
20 20250

About Natalie E. Farrawell

Natalie E. Farrawell is a scholar working on Neurology, Genetics, Molecular Biology, Epidemiology and Biomaterials, having authored 20 papers that have together received 476 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (16 papers), Neurogenetic and Muscular Disorders Research (10 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Autophagy in Disease and Therapy (4 papers), biodegradable polymer synthesis and properties (4 papers), Ubiquitin and proteasome pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Prion Diseases and Protein Misfolding (2 papers). The work is most often cited by research in Neurology (301 citations), Genetics (158 citations), Neurology (52 citations), Molecular Biology (247 citations) and Cellular and Molecular Neuroscience (63 citations). Natalie E. Farrawell has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include Justin J. Yerbury, Luke McAlary, Darren N. Saunders, Ian P. Blair, Sadaf T. Warraich, Danny M. Hatters, Kara L. Vine, Mark R. Wilson, Jeremy S. Lum and Rafaa Zeineddine. Their work appears in journals such as Scientific Reports, ACS Chemical Neuroscience, PLoS ONE, iScience and Neurobiology of Disease.

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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