Len Trigg
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
-
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
Papers in
-
- Genomics and Phylogenetic Studies 4
- Metabolomics and Mass Spectrometry Studies 1
- Gene expression and cancer classification 1
- Microbial Metabolic Engineering and Bioproduction 1
- Genetics 3
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 2
- Co-authors
- Geoffrey Holmes (3 shared papers)Eibe Frank (1 shared paper)Ian H. Witten (1 shared paper)Mark Hall (1 shared paper)Francisco M. De La Vega (3 shared papers)Rebecca Truty (2 shared papers)Justin M. Zook (2 shared papers)Marc Salit (2 shared papers)
- Journals
- Nature Biotechnology (2 papers)Journal of Computational Biology (1 paper)Journal of Biomolecular Techniques JBT (1 paper)Bioinformatics (1 paper)Research Commons (The University of Waikato) (1 paper)
- Partner nations
- United StatesNew ZealandCanada
In The Last Decade
Len Trigg
7 papers receiving 1.1k citations
Len Trigg's Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 150
- Molecular Biology 632
- Genetics 234
- Computational Theory and Mathematics 90
- Health Information Management 14
Countries citing papers authored by Len Trigg
This map shows the geographic impact of Len Trigg'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 Len Trigg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Len Trigg more than expected).
Fields of papers citing papers by Len Trigg
This network shows the impact of papers produced by Len Trigg. 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 Len Trigg. The network helps show where Len Trigg may publish in the future.
Co-authors
The 25 scholars most cited alongside Len Trigg, 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 | Data mining in bioinformatics using Weka Hit paper breakdown → | 2004 | 710 |
| 2 | 2019 | 189 | |
| 3 | 2019 | 161 | |
| 4 | 2014 | 54 | |
| 5 | 2003 | 5 | |
| 6 | Quantitative Analysis of Shotgun Metagenomic Data with the Real Time Genomics Platform | 2013 | 2 |
| 7 | 2024 | 1 | |
| 8 | 2006 | 0 |
About Len Trigg
Len Trigg is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Pharmacology and Information Systems, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (2 papers), Horticultural and Viticultural Research (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Gene expression and cancer classification (1 paper), Natural Language Processing Techniques (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Cancer Research (150 citations), Molecular Biology (632 citations), Genetics (234 citations), Computational Theory and Mathematics (90 citations) and Health Information Management (14 citations). Len Trigg has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Geoffrey Holmes, Eibe Frank, Ian H. Witten, Mark Hall, Francisco M. De La Vega, Rebecca Truty, Justin M. Zook, Marc Salit, Sean A. Irvine and Hemang Parikh. Their work appears in journals such as Nature Biotechnology, Journal of Computational Biology, Journal of Biomolecular Techniques JBT, Bioinformatics and Research Commons (The University of Waikato).
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.