Fiona Pryde

1000 citations
11 papers · 803 · h-index 10

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Fungal and yeast genetics research
    • RNA Research and Splicing

Papers in

    • DNA Repair Mechanisms 5
    • Genomics and Chromatin Dynamics 3
    • CRISPR and Genetic Engineering 2
    • RNA and protein synthesis mechanisms 2
    • Ubiquitin and proteasome pathways 1
    • Fungal and yeast genetics research 1
    • Telomeres, Telomerase, and Senescence 3

Fiona Pryde

11 papers receiving 794 citations

Peers

Fiona Pryde
Comparison fields: 5 of 55
  • Aging 60
  • Molecular Biology 709
  • Physiology 184
  • Geriatrics and Gerontology 14
  • Plant Science 166
Replace Catherine Koering with:
Catherine Koering France
John Hanish United States
Eric Aeby Switzerland
Mukti Banerjee United States
Mallory Freeberg United States
Moreshwar B. Vaze United States
Julien Soudet Switzerland
Vladimir Podolny United States
Benoît Guillemette Canada
Steven L. Sanders United States
Fiona Pryde relative to Catherine Koering France Catherine Koering's profile →
Citations per field
00.5×1.5×1.9×
Catherine Koering · 1×
Citations per year

Countries citing papers authored by Fiona Pryde

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Pryde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1998280
2 1999235
3 2005106
4 200950
5 199527
6 200925
7 199622
8 200921
9 199216
10 200713
11 20118

About Fiona Pryde

Fiona Pryde is a scholar working on Molecular Biology, Physiology, Oncology, Ophthalmology and Aging, having authored 11 papers that have together received 803 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Telomeres, Telomerase, and Senescence (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related Molecular Pathways (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Ubiquitin and proteasome pathways (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Aging (60 citations), Molecular Biology (709 citations), Physiology (184 citations), Geriatrics and Gerontology (14 citations) and Plant Science (166 citations). Fiona Pryde has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Edward J. Louis, Thierry Laroche, Sophie G. Martin, Hazel C. Gorham, Monica Gotta, Susan M. Gasser, Yasuhisa Adachi, Jim Selfridge, David W. Melton and Shirin Khalili. Their work appears in journals such as Genomics, BMC Molecular Biology, Current Biology, Yeast and Journal of Cell Science.

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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