Reuben D. O’Dea

980 total citations
47 papers, 642 citations indexed

About

Reuben D. O’Dea is a scholar working on Cell Biology, Modeling and Simulation and Biomedical Engineering. According to data from OpenAlex, Reuben D. O’Dea has authored 47 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cell Biology, 11 papers in Modeling and Simulation and 11 papers in Biomedical Engineering. Recurrent topics in Reuben D. O’Dea's work include Cellular Mechanics and Interactions (15 papers), Mathematical Biology Tumor Growth (11 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Reuben D. O’Dea is often cited by papers focused on Cellular Mechanics and Interactions (15 papers), Mathematical Biology Tumor Growth (11 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Reuben D. O’Dea collaborates with scholars based in United Kingdom, United States and Netherlands. Reuben D. O’Dea's co-authors include Sarah L. Waters, Helen M. Byrne, K. I. Hopcraft, Etienne Farcot, John R. King, M.E. Hubbard, Jonathan J. Crofts, Stephen Coombes, Donald L. Brown and Bindi S. Brook and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Journal of Fluid Mechanics.

In The Last Decade

Reuben D. O’Dea

46 papers receiving 630 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Reuben D. O’Dea United Kingdom 14 135 124 121 92 85 47 642
Emma Lejeune United States 16 244 1.8× 106 0.9× 7 0.1× 41 0.4× 12 0.1× 40 589
Qingshan Zhang China 18 78 0.6× 75 0.6× 6 0.0× 357 3.9× 40 0.5× 67 1.2k
Chan-Young Park South Korea 13 311 2.3× 117 0.9× 17 0.1× 63 0.7× 42 0.5× 174 1.3k
Roland C. Aydin Germany 17 534 4.0× 170 1.4× 8 0.1× 46 0.5× 54 0.6× 39 1.2k
Chong Li China 19 169 1.3× 9 0.1× 16 0.1× 181 2.0× 9 0.1× 120 934
Yingxi Liu China 15 55 0.4× 14 0.1× 16 0.1× 16 0.2× 10 0.1× 56 600
Kibeom Park South Korea 20 314 2.3× 54 0.4× 41 0.3× 36 0.4× 3 0.0× 62 808
Xiaoxiao Song China 14 104 0.8× 30 0.2× 38 0.3× 220 2.4× 124 1.5× 31 965
Chenyang Xu China 13 343 2.5× 10 0.1× 39 0.3× 154 1.7× 5 0.1× 36 1.1k

Countries citing papers authored by Reuben D. O’Dea

Since Specialization
Citations

This map shows the geographic impact of Reuben D. O’Dea'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 Reuben D. O’Dea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reuben D. O’Dea more than expected).

Fields of papers citing papers by Reuben D. O’Dea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reuben D. O’Dea. 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 Reuben D. O’Dea. The network helps show where Reuben D. O’Dea may publish in the future.

Co-authorship network of co-authors of Reuben D. O’Dea

This figure shows the co-authorship network connecting the top 25 collaborators of Reuben D. O’Dea. A scholar is included among the top collaborators of Reuben D. O’Dea 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 Reuben D. O’Dea. Reuben D. O’Dea 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.
Coombes, Stephen, et al.. (2024). Stability Analysis of Electrical Microgrids and Their Control Systems. SHILAP Revista de lepidopterología. 3(1). 1 indexed citations
2.
O’Dea, Reuben D., et al.. (2024). Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses. PLoS Computational Biology. 20(12). e1012647–e1012647. 1 indexed citations
3.
Tatler, Amanda L., Michael R. Hill, Sam Cox, et al.. (2023). Differential remodeling in small and large murine airways revealed by novel whole lung airway analysis. American Journal of Physiology-Lung Cellular and Molecular Physiology. 324(3). L271–L284.
4.
O’Dea, Reuben D., et al.. (2023). A dynamical model of TGF- β activation in asthmatic airways. Mathematical Medicine and Biology A Journal of the IMA. 40(3). 238–265. 2 indexed citations
5.
Fadai, Nabil T., et al.. (2023). Modelling the Effect of Matrix Metalloproteinases in Dermal Wound Healing. Bulletin of Mathematical Biology. 85(10). 96–96. 1 indexed citations
6.
O’Dea, Reuben D., et al.. (2023). Pattern formation and travelling waves in a multiphase moving boundary model of tumour growth. Mathematical Medicine and Biology A Journal of the IMA. 40(4). 327–347. 1 indexed citations
7.
Crofts, Jonathan J., et al.. (2022). Structure-function clustering in weighted brain networks. Scientific Reports. 12(1). 16793–16793. 7 indexed citations
8.
Dowbaj, Anna M., Robert P. Jenkins, John M. Heddleston, et al.. (2021). An optogenetic method for interrogating YAP1 and TAZ nuclear–cytoplasmic shuttling. Journal of Cell Science. 134(13). 13 indexed citations
9.
O’Dea, Reuben D., et al.. (2021). Reinforcement learning approaches to hippocampus-dependent flexible spatial navigation. PubMed. 5. 1867137042–1867137042. 12 indexed citations
10.
Crowe, John, et al.. (2020). Cascading failures in networks of heterogeneous node behavior. Physical review. E. 101(2). 20301–20301. 10 indexed citations
11.
Chapman, S. Jonathan, et al.. (2019). A MULTIPHASE MULTISCALE MODEL FOR NUTRIENT-LIMITED TISSUE GROWTH, PART II: A SIMPLIFIED DESCRIPTION. The ANZIAM Journal. 61(4). 368–381. 1 indexed citations
12.
Brook, Bindi S., et al.. (2018). A MULTIPHASE MULTISCALE MODEL FOR NUTRIENT LIMITED TISSUE GROWTH. The ANZIAM Journal. 59(4). 499–532. 4 indexed citations
13.
Brook, Bindi S., et al.. (2018). A multiphase multiscale model for nutrient limited tissue growth. ANZIAM Journal. 59. 499–499. 1 indexed citations
14.
Hill, Michael R., Charlotte K. Billington, Amanda L. Tatler, et al.. (2018). A theoretical model of inflammation- and mechanotransduction-driven asthmatic airway remodelling. Biomechanics and Modeling in Mechanobiology. 17(5). 1451–1470. 18 indexed citations
15.
Wedgwood, Kyle C. A., et al.. (2017). An Analysis of Waves Underlying Grid Cell Firing in the Medial Enthorinal Cortex. SHILAP Revista de lepidopterología. 7(1). 9–9. 1 indexed citations
16.
Meier, J., Matthew J. Brookes, Reuben D. O’Dea, et al.. (2017). Comparing multilayer brain networks between groups: Introducing graph metrics and recommendations. NeuroImage. 166. 371–384. 42 indexed citations
17.
Rose, Andrew K., Reuben D. O’Dea, & K. I. Hopcraft. (2016). Price of anarchy on heterogeneous traffic-flow networks. Physical review. E. 94(3). 32315–32315. 7 indexed citations
18.
O’Dea, Reuben D. & John R. King. (2011). Multiscale analysis of pattern formation via intercellular signalling. Mathematical Biosciences. 231(2). 172–185. 18 indexed citations
19.
O’Dea, Reuben D. & John R. King. (2011). The isolation of spatial patterning modes in a mathematical model of juxtacrine cell signalling. Mathematical Medicine and Biology A Journal of the IMA. 30(2). 95–113. 4 indexed citations
20.
O’Dea, Reuben D., Sarah L. Waters, & Helen M. Byrne. (2009). A multiphase model for tissue construct growth in a perfusion bioreactor. Mathematical Medicine and Biology A Journal of the IMA. 27(2). 95–127. 41 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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