John Maslen

16.0k citations
3 papers · 6.5k · 1 hit paper · h-index 3

Impact in

    • Plant-Microbe Interactions and Immunity
    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics
    • Genomics and Phylogenetic Studies
    • Bioinformatics and Genomic Networks

Papers in

    • Genomics and Phylogenetic Studies 2
    • RNA and protein synthesis mechanisms 1
    • Bioinformatics and Genomic Networks 1
    • Biomedical Text Mining and Ontologies 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • Machine Learning in Bioinformatics 1

John Maslen

3 papers receiving 6.4k citations

John Maslen's Hit Papers

InterProScan 5: genome-scale protein function classification 2014 · 6.0k citations
6.0k0+4+8Years since publication2.0k4.0k6.0k

Peers

John Maslen
Comparison fields: 5 of 132
  • Plant Science 2.0k
  • Molecular Biology 3.4k
  • Horticulture 46
  • Endocrinology 226
  • Ecology 1.2k
Replace Craig McAnulla with:
Craig McAnulla United Kingdom
A. F. Quinn United Kingdom
Hsin-Yu Chang United Kingdom
David Binns United Kingdom
Sarah Hunter United Kingdom
Siew-Yit Yong United Kingdom
Sebastien Pesseat United Kingdom
Matthew Fraser United Kingdom
Maxim Scheremetjew United Kingdom
Shennan Lu United States
John Maslen relative to Craig McAnulla United Kingdom Craig McAnulla's profile →
Citations per field
00.5×1.5×
Craig McAnulla · 1×
Citations per year

Countries citing papers authored by John Maslen

Since Specialization
Citations

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

Fields of papers citing papers by John Maslen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About John Maslen

John Maslen is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 3 papers that have together received 6.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (1 paper), Bioinformatics and Genomic Networks (1 paper), Biomedical Text Mining and Ontologies (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Plant Science (2.0k citations), Molecular Biology (3.4k citations), Horticulture (46 citations), Endocrinology (226 citations) and Ecology (1.2k citations). John Maslen has collaborated with scholars based in United Kingdom. Frequent co-authors include David Binns, Philip Jones, Alex Mitchell, Amaia Sangrador‐Vegas, Maxim Scheremetjew, Sarah Hunter, Hsin-Yu Chang, Hamish McWilliam, Gift Nuka and Sebastien Pesseat. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Genome Research.

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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