James Done

696 citations
3 papers · 39 · h-index 3

Impact in

    • Semantic Web and Ontologies
    • Topic Modeling
    • Biomedical Text Mining and Ontologies
    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies
    • Genetics, Bioinformatics, and Biomedical Research
    • Gene expression and cancer classification

Papers in

    • Biomedical Text Mining and Ontologies 2
    • Bioinformatics and Genomic Networks 1
    • Gene expression and cancer classification 1
    • Hemispheric Asymmetry in Neuroscience 1

James Done

3 papers receiving 39 citations

Peers

James Done
Comparison fields: 5 of 16
  • Artificial Intelligence 17
  • Molecular Biology 33
  • Information Systems and Management 2
  • Paleontology 2
  • Cognitive Neuroscience 5
Replace Celia Siu with:
Celia Siu Canada
Laura Adam United States
Lukasz Szajkowski Poland
Alejandra López-Fuentes Mexico
V. Chickarmane Australia
SV Ramanan India
Takako Takai Japan
Kwanghun Choi South Korea
Kouichi Kimura Japan
Prabhakaran Gangadharan United States
James Done relative to Celia Siu Canada Celia Siu's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by James Done

Since Specialization
Citations

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

Fields of papers citing papers by James Done

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About James Done

James Done is a scholar working on Molecular Biology, Cognitive Neuroscience, Artificial Intelligence, Developmental and Educational Psychology and Infectious Diseases, having authored 3 papers that have together received 39 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (1 paper), Gene expression and cancer classification (1 paper), Semantic Web and Ontologies (1 paper), Natural Language Processing Techniques (1 paper), Hearing Impairment and Communication (1 paper) and Hemispheric Asymmetry in Neuroscience (1 paper). The work is most often cited by research in Artificial Intelligence (17 citations), Molecular Biology (33 citations), Information Systems and Management (2 citations), Paleontology (2 citations) and Cognitive Neuroscience (5 citations). James Done has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Cecilia N. Arighi, G. Thomas Hayman, Peter McQuilton, Donghui Li, Zhaolin Lu, Stanley J. F. Laulederkind, Hans‐Michael Müller, Paul W. Sternberg, Mary Schaeffer and Mao Ye. Their work appears in journals such as Brain and Language, Database and PLoS ONE.

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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