Fiona Brown

1.3k citations
5 papers · 162 · h-index 3

Impact in

    • Parkinson's Disease Mechanisms and Treatments
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics

Papers in

    • Ubiquitin and proteasome pathways 2
    • Cell death mechanisms and regulation 1
    • Ion Transport and Channel Regulation 1
    • ATP Synthase and ATPases Research 1
    • Endoplasmic Reticulum Stress and Disease 2
    • Cellular transport and secretion 1

Fiona Brown

4 papers receiving 161 citations

Peers

Fiona Brown
Comparison fields: 5 of 40
  • Neurology 81
  • Cell Biology 62
  • Genetics 39
  • Physiology 36
  • Neurology 11
Replace Shankaracharya with:
Shankaracharya United States
Francesca Mattedi United Kingdom
Sophie Burel France
Stephan Buchkremer Germany
Hortense de Calbiac France
Neil Kulkarni United States
Diego Lopergolo Italy
Adam R. Fenton United States
Dan Vitale United States
Guillermo Rodríguez Bey United States
Fiona Brown relative to Shankaracharya United States Shankaracharya's profile →
Citations per field
00.5×1.5×2.3×
Shankaracharya · 1×
Citations per year

Countries citing papers authored by Fiona Brown

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 201796
2 201853
3 202311
4 20242
5 20250

About Fiona Brown

Fiona Brown is a scholar working on Molecular Biology, Cell Biology, Neurology, Oncology and Genetics, having authored 5 papers that have together received 162 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (2 papers), Ubiquitin and proteasome pathways (2 papers), Cellular transport and secretion (1 paper), Cell death mechanisms and regulation (1 paper), PARP inhibition in cancer therapy (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Ion Transport and Channel Regulation (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Neurology (81 citations), Cell Biology (62 citations), Genetics (39 citations), Physiology (36 citations) and Neurology (11 citations). Fiona Brown has collaborated with scholars based in United Kingdom, Canada and Germany. Frequent co-authors include Paweł Lis, Philip Wing‐Lok Ho, Matthias Mann, John Rouse, Meng-Yun Chou, Terina N. Martinez, Martin Steger, Dario R. Alessi, Rachel Toth and Sophie Burel. Their work appears in journals such as Life Science Alliance, The EMBO Journal, Science Advances, Molecular & Cellular Proteomics and Biochemical Journal.

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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