Kenneth E. Whelan

1.5k citations
4 papers · 884 · h-index 4

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 4
    • Gene Regulatory Network Analysis 2
    • Genomics and Phylogenetic Studies 1
    • Gene expression and cancer classification 1
    • Biomedical Text Mining and Ontologies 1
    • Fungal and yeast genetics research 1
    • Scientific Computing and Data Management 1

Kenneth E. Whelan

4 papers receiving 822 citations

Peers

Kenneth E. Whelan
Comparison fields: 5 of 135
  • Information Systems and Management 87
  • Computational Theory and Mathematics 125
  • Artificial Intelligence 248
  • Biophysics 39
  • Structural Biology 9
Replace Wayne Aubrey with:
Wayne Aubrey United Kingdom
Michael J. Young United Kingdom
Emma Byrne United Kingdom
Larisa Soldatova United Kingdom
Christopher H. Bryant United Kingdom
Pınar Pir United Kingdom
Philip G. K. Reiser New Zealand
Ffion Mair Jones United Kingdom
Gerardo Aragón-Camarasa United Kingdom
Michael Krone Germany
Kenneth E. Whelan relative to Wayne Aubrey United Kingdom Wayne Aubrey's profile →
Citations per field
00.5×1.5×1.8×
Wayne Aubrey · 1×
Citations per year

Countries citing papers authored by Kenneth E. Whelan

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth E. Whelan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth E. Whelan. 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 Kenneth E. Whelan. The network helps show where Kenneth E. Whelan may publish in the future.

Co-authors

The 16 scholars most cited alongside Kenneth E. Whelan, 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 Kenneth E. Whelan Line = papers co-authored together Kenneth E. Whelan links everyone, so they are left out of the graph.

All Works

About Kenneth E. Whelan

Kenneth E. Whelan is a scholar working on Molecular Biology, Information Systems and Management, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 884 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Gene Regulatory Network Analysis (2 papers), Semantic Web and Ontologies (1 paper), Scientific Computing and Data Management (1 paper), Genomics and Phylogenetic Studies (1 paper), Gene expression and cancer classification (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Information Systems and Management (87 citations), Computational Theory and Mathematics (125 citations), Artificial Intelligence (248 citations), Biophysics (39 citations) and Structural Biology (9 citations). Kenneth E. Whelan has collaborated with scholars based in United Kingdom and Malta. Frequent co-authors include Ross D. King, Stephen G. Oliver, Douglas B. Kell, Ffion Mair Jones, Christopher H. Bryant, Stephen Muggleton, Philip G. K. Reiser, Wayne Aubrey, Jem J. Rowland and Maria Liakata. Their work appears in journals such as Nature, Science, JALA Journal of the Association for Laboratory Automation and PubMed.

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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