Darren J. Wilkinson
- Molecular Biology top 5%
- Artificial Intelligence top 2%
- Genetics top 5%
- Statistics and Probability top 1%
- Computational Theory and Mathematics top 2%
- Co-authors
- Andrew GolightlyThomas B. L. KirkwoodColin S. GillespieRichard J. BoysR. J. BoysJonathan P. RichardsT. UllrichConor Lawless
- Topics
- Gene Regulatory Network Analysis (33 papers)Bioinformatics and Genomic Networks (19 papers)Microbial Metabolic Engineering and Bioproduction (14 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaNature Reviews Molecular Cell Biology
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Darren J. Wilkinson
81 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 183
- Molecular Biology 2.1k
- Artificial Intelligence 587
- Genetics 443
- Statistics and Probability 375
- Computational Theory and Mathematics 256
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 of co-authors of Darren J. Wilkinson
This figure shows the co-authorship network connecting the top 25 collaborators of Darren J. Wilkinson. A scholar is included among the top collaborators of Darren J. Wilkinson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darren J. Wilkinson. Darren J. Wilkinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 137 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 14 | |
| 10 | 198 | |
| 11 | 9 | |
| 12 | 71 | |
| 13 | 59 | |
| 14 | 150 | |
| 15 | 22 | |
| 16 | 14 | |
| 17 | 55 | |
| 18 | 17 | |
| 19 | 113 | |
| 20 | 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) and Microbial Metabolic Engineering and Bioproduction (14 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.