Stephen J. Wilkinson

1.0k total citations
21 papers, 810 citations indexed

About

Stephen J. Wilkinson is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Stephen J. Wilkinson has authored 21 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Cell Biology. Recurrent topics in Stephen J. Wilkinson's work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Gene Regulatory Network Analysis (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Stephen J. Wilkinson is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (4 papers), Gene Regulatory Network Analysis (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Stephen J. Wilkinson collaborates with scholars based in United Kingdom, Iraq and Czechia. Stephen J. Wilkinson's co-authors include William Zimmerman, Mahmood K. H. Al-Mashhadani, Richard T. Smith, Leon P. Pybus, D. James Gilmour, David C. James, Jeremy J. Hawkes, Andrew J. Racher, Peter M. O’Callaghan and Joy Mukherjee and has published in prestigious journals such as PLoS ONE, Chemical Engineering Science and Biotechnology and Bioengineering.

In The Last Decade

Stephen J. Wilkinson

21 papers receiving 791 citations

Peers

Stephen J. Wilkinson
Bin Jia China
Gen Li China
Lu Zheng China
Xiong China
Si Li China
Bin Jia China
Stephen J. Wilkinson
Citations per year, relative to Stephen J. Wilkinson Stephen J. Wilkinson (= 1×) peers Bin Jia

Countries citing papers authored by Stephen J. Wilkinson

Since Specialization
Citations

This map shows the geographic impact of Stephen 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 Stephen 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 Stephen J. Wilkinson more than expected).

Fields of papers citing papers by Stephen J. Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen 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 Stephen J. Wilkinson. The network helps show where Stephen J. Wilkinson may publish in the future.

Co-authorship network of co-authors of Stephen J. Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Wilkinson. A scholar is included among the top collaborators of Stephen 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 Stephen J. Wilkinson. Stephen J. Wilkinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Faraj, Yousef, et al.. (2022). Electrical resistance tomography-based multi-modality sensor and drift flux model for measurement of oil–gas–water flow. Measurement Science and Technology. 33(9). 94006–94006. 8 indexed citations
2.
Al-Mashhadani, Mahmood K. H., Stephen J. Wilkinson, & William Zimmerman. (2016). Carbon dioxide rich microbubble acceleration of biogas production in anaerobic digestion. Chemical Engineering Science. 156. 24–35. 44 indexed citations
3.
Corfe, Bernard M., et al.. (2015). A deterministic oscillatory model of microtubule growth and shrinkage for differential actions of short chain fatty acids. Molecular BioSystems. 12(1). 93–101. 20 indexed citations
4.
Al-Mashhadani, Mahmood K. H., Stephen J. Wilkinson, & William Zimmerman. (2015). Laboratory Preparation of Simulated Sludge for Anaerobic Digestion Experimentation. Journal of Engineering. 21(6). 131–145. 7 indexed citations
5.
Auley, Mark T. Mc, Kathleen M. Mooney, Peter Angell, & Stephen J. Wilkinson. (2015). Mathematical Modelling of Metabolic Regulation in Aging. Metabolites. 5(2). 232–251. 19 indexed citations
6.
Al-Mashhadani, Mahmood K. H., Stephen J. Wilkinson, & William Zimmerman. (2015). Airlift bioreactor for biological applications with microbubble mediated transport processes. Chemical Engineering Science. 137. 243–253. 88 indexed citations
7.
Prest, Jeff E., Bernard J. Treves Brown, Peter R. Fielden, Stephen J. Wilkinson, & Jeremy J. Hawkes. (2014). Scaling-up ultrasound standing wave enhanced sedimentation filters. Ultrasonics. 56. 260–270. 7 indexed citations
8.
Liu, Junying, Joy Mukherjee, Jeremy J. Hawkes, & Stephen J. Wilkinson. (2013). Optimization of lipid production for algal biodiesel in nitrogen stressed cells of Dunaliella salina using FTIR analysis. Journal of Chemical Technology & Biotechnology. 88(10). 1807–1814. 64 indexed citations
9.
Pybus, Leon P., Greg Dean, Andrew Smith, et al.. (2013). Model‐directed engineering of “difficult‐to‐express” monoclonal antibody production by Chinese hamster ovary cells. Biotechnology and Bioengineering. 111(2). 372–385. 88 indexed citations
10.
Almiñana, C., Paul R. Heath, Stephen J. Wilkinson, et al.. (2012). Early Developing Pig Embryos Mediate Their Own Environment in the Maternal Tract. PLoS ONE. 7(3). e33625–e33625. 70 indexed citations
11.
Corfe, Bernard M., et al.. (2011). Modelling the microtubule: towards a better understanding of short-chain fatty acid molecular pharmacology. Molecular BioSystems. 7(4). 975–983. 4 indexed citations
12.
O’Callaghan, Peter M., et al.. (2011). An empirical modeling platform to evaluate the relative control discrete CHO cell synthetic processes exert over recombinant monoclonal antibody production process titer. Biotechnology and Bioengineering. 108(9). 2193–2204. 17 indexed citations
13.
Davies, Sarah L., Peter M. O’Callaghan, Leon P. Pybus, et al.. (2011). Impact of gene vector design on the control of recombinant monoclonal antibody production by chinese hamster ovary cells. Biotechnology Progress. 27(6). 1689–1699. 33 indexed citations
14.
Brown, Martin, Fei He, & Stephen J. Wilkinson. (2010). Properties of the Proximate Parameter Tuning Regularization Algorithm. Bulletin of Mathematical Biology. 72(3). 697–718. 6 indexed citations
15.
O’Callaghan, Peter M., et al.. (2010). Cell line‐specific control of recombinant monoclonal antibody production by CHO cells. Biotechnology and Bioengineering. 106(6). 938–951. 88 indexed citations
16.
Westerhoff, Hans V., Alexey Kolodkin, Stephen J. Wilkinson, et al.. (2008). Systems biology towards life in silico: mathematics of the control of living cells. Journal of Mathematical Biology. 58(1-2). 7–34. 57 indexed citations
17.
Bevilacqua, Annamaria, Stephen J. Wilkinson, Ettore Murabito, et al.. (2008). Vertical systems biology: from DNA to flux and back.. PubMed. 61. 65–91. 9 indexed citations
18.
Wilkinson, Stephen J., et al.. (2008). Control of translation initiation: a model-based analysis from limited experimental data. Journal of The Royal Society Interface. 6(30). 51–61. 26 indexed citations
19.
Wilkinson, Stephen J., Neil Benson, & Douglas B. Kell. (2007). Proximate parameter tuning for biochemical networks with uncertain kinetic parameters. Molecular BioSystems. 4(1). 74–97. 28 indexed citations
20.
Ihekwaba, Adaoha, Stephen J. Wilkinson, Dominic Waithe, et al.. (2007). Bridging the gap between in silico and cell‐based analysis of the nuclear factor‐κB signaling pathway by in vitro studies of IKK2. FEBS Journal. 274(7). 1678–1690. 16 indexed citations

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.

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