Sarah K. Abbott

1.5k citations
13 papers · 1.2k indexed · 1 hit paper · h-index 11
Topics
Parkinson's Disease Mechanisms and Treatments (4 papers)Adipose Tissue and Metabolism (4 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
Partner nations
AustraliaIrelandJapan

In The Last Decade

Sarah K. Abbott

13 papers receiving 1.2k citations

Hit Papers

Reduced glucocerebrosidase is associated with increased α...20142026201820222014100200300

Peers

Sarah K. Abbott
Comparison fields: 5 of 94
  • Physiology 538
  • Neurology 442
  • Molecular Biology 407
  • Cell Biology 271
  • Epidemiology 208
Replace Wei Fun Cheong with:
Wei Fun Cheong Singapore
Leonor Miller‐Fleming United Kingdom
Manish Jaiswal United States
Jonathan H. Fox United States
Thomas Timm Germany
Juliana Heidler Germany
Leigh Anne Swayne Canada
J. Ricardo Martinez United States
Michael D. Koob United States
Sarah K. Abbott relative to Wei Fun Cheong Singapore Wei Fun Cheong's profile →
Citations per field
00.5×4.9×
Wei Fun Cheong · 1×
Citations per year

Countries citing papers authored by Sarah K. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Sarah K. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah K. Abbott. 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 Sarah K. Abbott. The network helps show where Sarah K. Abbott may publish in the future.

Co-authorship network of co-authors of Sarah K. Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah K. Abbott. A scholar is included among the top collaborators of Sarah K. Abbott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah K. Abbott. Sarah K. Abbott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 8
2 15
3 81
4 19
5 135
6
Reduced glucocerebrosidase is associated with increased α-synuclein in sporadic Parkinson’s diseasebreakdown →
382
7 93
8 72
9 125
10 189
11 37
12 49
13 1

About Sarah K. Abbott

Sarah K. Abbott is a scholar working on Biochemistry, Physiology and Neurology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Adipose Tissue and Metabolism (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Neurology (442 citations), Aging (37 citations) and Physiology (538 citations). Sarah K. Abbott has collaborated with scholars based in Australia, Ireland and Japan. Frequent co-authors include A. J. Hulbert, Brett Garner, Glenda M. Halliday, Karen E. Murphy, Paul L. Else, Amanda M. Gysbers, Antony A. Cooper, Nahid Tayebi, Woojin S. Kim and Ellen Sidransky. Their work appears in journals such as Brain, Analytical Biochemistry and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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