Sarah Hunter

15.2k citations
10 papers · 5.9k indexed · 1 hit paper · h-index 6

Impact in

    • Plant-Microbe Interactions and Immunity
    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics

Papers in

Sarah Hunter

10 papers receiving 5.9k citations

Hit Papers

InterProScan 5: genome-scale protein function classification 2014 · 5.8k citations
5.8k201420262018202210002.0k3.0k4.0k5.0k

Peers

Sarah Hunter
Comparison fields: 5 of 130
  • Plant Science 2.1k
  • Horticulture 48
  • Molecular Biology 3.3k
  • Ecology 1.2k
  • Endocrinology 232
Replace Siew-Yit Yong with:
Siew-Yit Yong United Kingdom
Sebastien Pesseat United Kingdom
A. F. Quinn United Kingdom
Maxim Scheremetjew United Kingdom
Hsin-Yu Chang United Kingdom
John Maslen United Kingdom
Craig McAnulla United Kingdom
David Binns United Kingdom
Alexis Dereeper France
Sarah Hunter relative to Siew-Yit Yong United Kingdom Siew-Yit Yong's profile →
Citations per field
00.5×1.5×
Siew-Yit Yong · 1×
Citations per year

Countries citing papers authored by Sarah Hunter

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Hunter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 20241
2 20243
3
InterProScan 5: genome-scale protein function classification
Hit paper breakdown →
20145753
4 20121
5 201284
6 201216
7 20116
8 201062
9 20105
10 20101

About Sarah Hunter

Sarah Hunter is a scholar working on Sensory Systems, Information Systems and Management, Molecular Biology, Spectroscopy and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 5.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (2 papers), RNA and protein synthesis mechanisms (2 papers), Gene expression and cancer classification (2 papers), Biomedical Text Mining and Ontologies (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Plant Science (2.1k citations), Horticulture (48 citations), Molecular Biology (3.3k citations), Ecology (1.2k citations) and Endocrinology (232 citations). Sarah Hunter has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Craig McAnulla, Alex Mitchell, Amaia Sangrador‐Vegas, Siew-Yit Yong, Sebastien Pesseat, Philip Jones, Maxim Scheremetjew, David Binns, A. F. Quinn and Hsin-Yu Chang. Their work appears in journals such as Database, Bioinformatics, Development, Briefings in Bioinformatics and Molecular Phylogenetics and Evolution.

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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