Sarah Roxburgh

826 citations
6 papers · 303 · h-index 5

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Parathyroid Disorders and Treatments
    • Renal and related cancers
    • TGF-β signaling in diseases
    • Connective Tissue Growth Factor Research

Papers in

    • Chronic Kidney Disease and Diabetes 4
    • Parathyroid Disorders and Treatments 2
    • Renal Diseases and Glomerulopathies 1
    • Renal and related cancers 3
    • TGF-β signaling in diseases 2

Sarah Roxburgh

6 papers receiving 302 citations

Peers

Sarah Roxburgh
Comparison fields: 5 of 54
  • Nephrology 113
  • Molecular Biology 187
  • Clinical Biochemistry 15
  • Cancer Research 30
  • Genetics 47
Replace Mengru Gu with:
Mengru Gu China
Juliane Wolter Germany
Mengyuan Ge United States
Marie-Helena Docherty United Kingdom
Yoshiyasu Fukusumi Japan
Brigith Willemsen Netherlands
Caitríona M. McEvoy Canada
Pardeep Aggarwal United States
Makiko Hoshiya United States
Rodrigo Villarreal United States
Sarah Roxburgh relative to Mengru Gu China Mengru Gu's profile →
Citations per field
00.5×2.9×
Mengru Gu · 1×
Citations per year

Countries citing papers authored by Sarah Roxburgh

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Roxburgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 200795
2 201267
3 200958
4 200443
5 200639
6 20221

About Sarah Roxburgh

Sarah Roxburgh is a scholar working on Nephrology, Molecular Biology, Pediatrics, Perinatology and Child Health, Epidemiology and Genetics, having authored 6 papers that have together received 303 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Renal and related cancers (3 papers), TGF-β signaling in diseases (2 papers), Parathyroid Disorders and Treatments (2 papers), Renal Diseases and Glomerulopathies (1 paper), Genetic Associations and Epidemiology (1 paper), Birth, Development, and Health (1 paper) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Nephrology (113 citations), Molecular Biology (187 citations), Clinical Biochemistry (15 citations), Cancer Research (30 citations) and Genetics (47 citations). Sarah Roxburgh has collaborated with scholars based in Ireland, Australia and United States. Frequent co-authors include Derek P. Brazil, Finian Martin, Carol A. Pollock, David Walsh, Clemens D. Cohen, Catherine Godson, Paul McGettigan, Céline C. Berthier, Madeline Murphy and Sergio Mezzano. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, BMJ Open, Diabetes, Journal of Biological Chemistry and Nephron Physiology.

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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