Kenneth E. Whelan
Impact in
-
- Scientific Computing and Data Management
-
- Computational Drug Discovery Methods
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 5
- Gene Regulatory Network Analysis 3
- Genomics and Phylogenetic Studies 1
- Biomedical Text Mining and Ontologies 1
- Gene expression and cancer classification 1
- Fungal and yeast genetics research 1
-
- Scientific Computing and Data Management 2
- Co-authors
- Ross D. King (5 shared papers)Stephen G. Oliver (2 shared papers)Ffion Mair Jones (1 shared paper)Stephen Muggleton (1 shared paper)Christopher H. Bryant (1 shared paper)Philip G. K. Reiser (1 shared paper)Douglas B. Kell (1 shared paper)Amanda Clare (4 shared papers)
- Journals
- Science (1 paper)Nature (1 paper)Lecture notes in computer science (1 paper)PubMed (1 paper)JALA Journal of the Association for Laboratory Automation (1 paper)
- Partner nations
- United KingdomMalta
In The Last Decade
Kenneth E. Whelan
5 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 138
- Information Systems and Management 97
- Computational Theory and Mathematics 167
- Artificial Intelligence 322
- Health Informatics 12
- Biophysics 38
Countries citing papers authored by Kenneth E. Whelan
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 476 | |
| 2 | 2009 | 474 | |
| 3 | 2010 | 120 | |
| 4 | 2005 | 7 | |
| 5 | 2009 | 5 |
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 5 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (5 papers), Gene Regulatory Network Analysis (3 papers), Scientific Computing and Data Management (2 papers), Genomics and Phylogenetic Studies (1 paper), Biomedical Text Mining and Ontologies (1 paper), Gene expression and cancer classification (1 paper), Fungal and yeast genetics research (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Information Systems and Management (97 citations), Computational Theory and Mathematics (167 citations), Artificial Intelligence (322 citations), Health Informatics (12 citations) and Biophysics (38 citations). Kenneth E. Whelan has collaborated with scholars based in United Kingdom and Malta. Frequent co-authors include Ross D. King, Stephen G. Oliver, Ffion Mair Jones, Stephen Muggleton, Christopher H. Bryant, Philip G. K. Reiser, Douglas B. Kell, Amanda Clare, Jem J. Rowland and Michael J. Young. Their work appears in journals such as Science, Nature, Lecture notes in computer science, PubMed and JALA Journal of the Association for Laboratory Automation.
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.