David Irons
Impact in
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- Gene Regulatory Network Analysis
- Developmental Biology and Gene Regulation
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Plant Reproductive Biology
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- Philosophy and History of Science
Papers in
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- Gene Regulatory Network Analysis 4
- Fungal and yeast genetics research 1
- Bioinformatics and Genomic Networks 1
- Genetics 2
- Evolution and Genetic Dynamics 2
- Co-authors
- Nick Monk (4 shared papers)Johannes Jaeger (2 shared papers)Alexandre Wojcinski (1 shared paper)Bruno Glise (1 shared paper)Stephen J. Buckley (1 shared paper)Jonathan A. Tawn (1 shared paper)
- Journals
- Physica D Nonlinear Phenomena (1 paper)Journal of Experimental Zoology Part B Molecular and Developmental Evolution (1 paper)Developmental Biology (1 paper)Journal of Theoretical Biology (1 paper)Development (1 paper)
- Partner nations
- United KingdomSpainKazakhstan
In The Last Decade
David Irons
9 papers receiving 271 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 227
- History and Philosophy of Science 14
- Aging 4
- Genetics 55
- Cell Biology 29
Countries citing papers authored by David Irons
This map shows the geographic impact of David Irons'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 David Irons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Irons more than expected).
Fields of papers citing papers by David Irons
This network shows the impact of papers produced by David Irons. 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 David Irons. The network helps show where David Irons may publish in the future.
Co-authors
The 6 scholars most cited alongside David Irons, 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 | 2008 | 85 | |
| 2 | 2009 | 50 | |
| 3 | 2012 | 49 | |
| 4 | 2006 | 39 | |
| 5 | 2010 | 22 | |
| 6 | 2007 | 16 | |
| 7 | 2020 | 9 | |
| 8 | 2014 | 9 | |
| 9 | A study in the psychology of ethics | 2007 | 1 |
About David Irons
David Irons is a scholar working on Molecular Biology, Genetics, Economics and Econometrics, Sociology and Political Science and Information Systems and Management, having authored 9 papers that have together received 280 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Evolution and Genetic Dynamics (2 papers), Sports Analytics and Performance (2 papers), Plant Water Relations and Carbon Dynamics (1 paper), Fungal and yeast genetics research (1 paper), Bioinformatics and Genomic Networks (1 paper), Spaceflight effects on biology (1 paper) and Hydrology and Drought Analysis (1 paper). The work is most often cited by research in Molecular Biology (227 citations), History and Philosophy of Science (14 citations), Aging (4 citations), Genetics (55 citations) and Cell Biology (29 citations). David Irons has collaborated with scholars based in United Kingdom, Spain and Kazakhstan. Frequent co-authors include Nick Monk, Johannes Jaeger, Alexandre Wojcinski, Bruno Glise, Stephen J. Buckley and Jonathan A. Tawn. Their work appears in journals such as Physica D Nonlinear Phenomena, Journal of Experimental Zoology Part B Molecular and Developmental Evolution, Developmental Biology, Journal of Theoretical Biology and Development.
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.