Timothy J. Rudge

990 total citations
25 papers, 582 citations indexed

About

Timothy J. Rudge is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Timothy J. Rudge has authored 25 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Biomedical Engineering and 5 papers in Genetics. Recurrent topics in Timothy J. Rudge's work include Gene Regulatory Network Analysis (13 papers), Bacterial Genetics and Biotechnology (4 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). Timothy J. Rudge is often cited by papers focused on Gene Regulatory Network Analysis (13 papers), Bacterial Genetics and Biotechnology (4 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). Timothy J. Rudge collaborates with scholars based in United Kingdom, Chile and United States. Timothy J. Rudge's co-authors include Jim Haseloff, Fernán Federici, Paul J. Steiner, Andrew Phillips, Anton Kan, Lionel Dupuy, Simon Arridge, Isaac Núñez, Tamara Matúte and Neil Dalchau and has published in prestigious journals such as Nature Communications, PLoS ONE and Optics Letters.

In The Last Decade

Timothy J. Rudge

25 papers receiving 578 citations

Peers

Timothy J. Rudge

GENET

ECOLO

Paul J. Steiner United States

Jessica M. Walter United States

David S. Glass United States

M. Omar Din United States

Yu Tanouchi United States

Ivan Razinkov United States

Hanna Salman United States

Christophe Lavelle France

Pakpoom Subsoontorn Thailand

Jonghyeon Shin United States

Paul J. Steiner United States

Timothy J. Rudge

256 ×0.8

63 ×0.3

66 ×0.6

GENET

30 ×0.3

57 ×0.8

ECOLO

Citations per year, relative to Timothy J. Rudge Timothy J. Rudge (= 1×) peers Paul J. Steiner

Countries citing papers authored by Timothy J. Rudge

Since Specialization

Citations

This map shows the geographic impact of Timothy J. Rudge'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 Timothy J. Rudge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy J. Rudge more than expected).

Fields of papers citing papers by Timothy J. Rudge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy J. Rudge

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

All Works

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20 of 20 papers shown

Vidal, Gonzalo, C. Vásquez, Patrick Yu‐Wai‐Man, et al.. (2024). OPA1 and disease-causing mutants perturb mitochondrial nucleoid distribution. Cell Death and Disease. 15(11). 870–870. 3 indexed citations

Ramoneda, Josep, et al.. (2024). Phage predation accelerates the spread of plasmid-encoded antibiotic resistance. Nature Communications. 15(1). 5397–5397. 21 indexed citations

Rudge, Timothy J., et al.. (2024). WebCM: A Web-Based Platform for Multiuser Individual-Based Modeling of Multicellular Microbial Populations and Communities. ACS Synthetic Biology. 13(6). 1952–1955. 1 indexed citations

Vidal, Gonzalo, et al.. (2023). Experimental Data Connector (XDC): Integrating the Capture of Experimental Data and Metadata Using Standard Formats and Digital Repositories. ACS Synthetic Biology. 12(4). 1364–1370. 1 indexed citations

Cellerino, Alessandro, Mauricio Cerda, Miguel L. Concha, et al.. (2023). A computational framework for testing hypotheses of the minimal mechanical requirements for cell aggregation using early annual killifish embryogenesis as a model. Frontiers in Cell and Developmental Biology. 11. 959611–959611. 1 indexed citations

Vidal, Gonzalo, et al.. (2022). LOICA: Integrating Models with Data for Genetic Network Design Automation. ACS Synthetic Biology. 11(5). 1984–1990. 3 indexed citations

Vidal, Gonzalo, et al.. (2022). Accurate characterization of dynamic microbial gene expression and growth rate profiles. PubMed. 7(1). ysac020–ysac020. 3 indexed citations

Vidal, Gonzalo, et al.. (2020). Novel Tunable Spatio-Temporal Patterns From a Simple Genetic Oscillator Circuit. Frontiers in Bioengineering and Biotechnology. 8. 893–893. 5 indexed citations

Rudge, Timothy J., et al.. (2019). An equilibrium model for ribosome competition. Physical Biology. 17(1). 15002–15002. 2 indexed citations

10.

Kan, Anton, Ilenne Del Valle, Timothy J. Rudge, Fernán Federici, & Jim Haseloff. (2018). Intercellular adhesion promotes clonal mixing in growing bacterial populations. Journal of The Royal Society Interface. 15(146). 20180406–20180406. 24 indexed citations

11.

Núñez, Isaac, Tamara Matúte, Juan E. Keymer, et al.. (2017). Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering. PLoS ONE. 12(11). e0187163–e0187163. 65 indexed citations

12.

Grant, Paul K., Neil Dalchau, J. R. Brown, et al.. (2016). Orthogonal intercellular signaling for programmed spatial behavior. Molecular Systems Biology. 12(1). 849–849. 52 indexed citations

13.

Correia, Teresa, Timothy J. Rudge, Maximilian Koch, Vasilis Ntziachristos, & Simon Arridge. (2013). Wavelet-based data and solution compression for efficient image reconstruction in fluorescence diffuse optical tomography. Journal of Biomedical Optics. 18(8). 86008–86008. 13 indexed citations

14.

Rudge, Timothy J., Fernán Federici, Paul J. Steiner, Anton Kan, & Jim Haseloff. (2013). Cell Polarity-Driven Instability Generates Self-Organized, Fractal Patterning of Cell Layers. ACS Synthetic Biology. 2(12). 705–714. 63 indexed citations

15.

Federici, Fernán, Timothy J. Rudge, Bernardo Pollak, Jim Haseloff, & Rodrigo A. Gutiérrez. (2013). Synthetic Biology: opportunities for Chilean bioindustry and education. Biological Research. 46(4). 383–393. 6 indexed citations

16.

Ducros, Nicolas, Cosimo D’Andrea, Gianluca Valentini, et al.. (2010). Full-wavelet approach for fluorescence diffuse optical tomography with structured illumination. Optics Letters. 35(21). 3676–3676. 29 indexed citations

17.

Rudge, Timothy J., et al.. (2010). Fast image reconstruction in fluoresence optical tomography using data compression. Optics Letters. 35(5). 763–763. 26 indexed citations

18.

Rudge, Timothy J. & Kevin Burrage. (2008). Effects of Intrinsic and Extrinsic Noise Can Accelerate Juxtacrine Pattern Formation. Bulletin of Mathematical Biology. 70(4). 971–991. 11 indexed citations

19.

Dupuy, Lionel, et al.. (2007). A System for Modelling Cell–Cell Interactions during Plant Morphogenesis. Annals of Botany. 101(8). 1255–1265. 71 indexed citations

20.

Rudge, Timothy J. & Nicholas Geard. (2005). Evolving Gene Regulatory Networks for Cellular Morphogenesis. ePrints Soton (University of Southampton). 3. 239–525. 3 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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