Darren J. Wilkinson
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 10
- Statistics and Probability top 1%
- Statistical Methods and Inference 5
- Markov Chains and Monte Carlo Methods 5
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 33
- Bioinformatics and Genomic Networks 19
- Microbial Metabolic Engineering and Bioproduction 14
- Modeling and Simulation top 2%
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- Probabilistic and Robust Engineering Design 6
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- Bayesian Methods and Mixture Models 6
- Co-authors
- Andrew GolightlyThomas B. L. KirkwoodColin S. GillespieRichard J. BoysR. J. BoysJonathan P. RichardsT. UllrichConor Lawless
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (2 papers)Nature Reviews Molecular Cell Biology (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Darren J. Wilkinson
81 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 183
- Aging 146
- Statistics and Probability 375
- Molecular Biology 2.1k
- Modeling and Simulation 129
- Statistics, Probability and Uncertainty 170
Countries citing papers authored by Darren J. Wilkinson
This map shows the geographic impact of Darren J. Wilkinson'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 Darren J. Wilkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darren J. Wilkinson more than expected).
Fields of papers citing papers by Darren J. Wilkinson
This network shows the impact of papers produced by Darren J. Wilkinson. 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 Darren J. Wilkinson. The network helps show where Darren J. Wilkinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Darren J. Wilkinson, 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 | 2023 | 1 | |
| 2 | 2022 | 8 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 17 | |
| 5 | 2017 | 3 | |
| 6 | 2017 | 137 | |
| 7 | 2015 | 5 | |
| 8 | 2015 | 5 | |
| 9 | 2014 | 14 | |
| 10 | 2013 | 198 | |
| 11 | 2012 | 9 | |
| 12 | 2012 | 71 | |
| 13 | 2011 | 59 | |
| 14 | 2011 | 150 | |
| 15 | 2011 | 22 | |
| 16 | 2010 | 14 | |
| 17 | 2010 | 55 | |
| 18 | 2008 | 17 | |
| 19 | 2005 | 113 | |
| 20 | 2004 | 52 |
About Darren J. Wilkinson
Darren J. Wilkinson is a scholar working on Aging, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 84 papers that have together received 3.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (33 papers), Bioinformatics and Genomic Networks (19 papers), Microbial Metabolic Engineering and Bioproduction (14 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers), Bayesian Methods and Mixture Models (6 papers), Probabilistic and Robust Engineering Design (6 papers), Statistical Methods and Inference (5 papers) and Markov Chains and Monte Carlo Methods (5 papers). The work is most often cited by research in Aging (146 citations), Statistics and Probability (375 citations) and Molecular Biology (2.1k citations). Darren J. Wilkinson has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Andrew Golightly, Thomas B. L. Kirkwood, Colin S. Gillespie, Richard J. Boys, R. J. Boys, Jonathan P. Richards, T. Ullrich, Conor Lawless, Daniel A. Henderson and David Lydall. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Reviews Molecular Cell Biology.
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.