William Spooner

3.4k citations
7 papers · 784 · h-index 7

Impact in

    • Genomics and Phylogenetic Studies
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing

Papers in

    • Genomics and Phylogenetic Studies 4
    • Gene expression and cancer classification 2
    • Bioinformatics and Genomic Networks 1
    • Machine Learning in Bioinformatics 1
    • Genetic Mapping and Diversity in Plants and Animals 2
    • Genetic and phenotypic traits in livestock 1

William Spooner

7 papers receiving 771 citations

Peers

William Spooner
Comparison fields: 5 of 90
  • Aging 17
  • Molecular Biology 625
  • Genetics 242
  • Plant Science 161
  • Cancer Research 57
Replace Kathryn Beal with:
Kathryn Beal United States
Darin London United States
José Villaveces Germany
Simon Brent United Kingdom
Damian Smedley United Kingdom
Kalpana Karra United States
Paul Leyland United States
Marianne Barrier United States
M. Hammond United Kingdom
Ngan Nguyen United States
William Spooner relative to Kathryn Beal United States Kathryn Beal's profile →
Citations per field
00.5×1.5×
Kathryn Beal · 1×
Citations per year

Countries citing papers authored by William Spooner

Since Specialization
Citations

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

Fields of papers citing papers by William Spooner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2004315
2 2016284
3 200484
4 200961
5 201220
6 201814
7 20166

About William Spooner

William Spooner is a scholar working on Molecular Biology, Genetics, Plant Science, Spectroscopy and Infectious Diseases, having authored 7 papers that have together received 784 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Gene expression and cancer classification (2 papers), Genetics and Plant Breeding (2 papers), Bioinformatics and Genomic Networks (1 paper), Genetic and phenotypic traits in livestock (1 paper), Machine Learning in Bioinformatics (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Aging (17 citations), Molecular Biology (625 citations), Genetics (242 citations), Plant Science (161 citations) and Cancer Research (57 citations). William Spooner has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Ewan Birney, M. Hammond, Damian Smedley, Damian Keefe, Tony Cox, Darin London, Philippe Rocca‐Serra, Arek Kasprzyk, Paul Flicek and Matthieu Muffato. Their work appears in journals such as Genome Research, Database, BMC Bioinformatics, PLoS ONE and Nature Communications.

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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