Ruth E. Baker

9.5k total citations · 2 hit papers
207 papers, 5.9k citations indexed

About

Ruth E. Baker is a scholar working on Molecular Biology, Modeling and Simulation and Cell Biology. According to data from OpenAlex, Ruth E. Baker has authored 207 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Molecular Biology, 59 papers in Modeling and Simulation and 51 papers in Cell Biology. Recurrent topics in Ruth E. Baker's work include Mathematical Biology Tumor Growth (57 papers), Gene Regulatory Network Analysis (54 papers) and Cellular Mechanics and Interactions (41 papers). Ruth E. Baker is often cited by papers focused on Mathematical Biology Tumor Growth (57 papers), Gene Regulatory Network Analysis (54 papers) and Cellular Mechanics and Interactions (41 papers). Ruth E. Baker collaborates with scholars based in United Kingdom, Australia and United States. Ruth E. Baker's co-authors include Philip K. Maini, Matthew J. Simpson, Alexander G. Fletcher, Eamonn A. Gaffney, Cheng‐Ming Chuong, Stanislav Y. Shvartsman, Thomas E. Woolley, Maksim V. Plikus, Miriam Osterfield and Christian A. Yates and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ruth E. Baker

197 papers receiving 5.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cyclic dermal BMP signalling regulates stem cell activation during hair regeneration

2008 574 citations Ruth E. Baker, Philip K. Maini et al. profile →
Vertex Models of Epithelial Morphogenesis

2014 398 citations Alexander G. Fletcher, Ruth E. Baker et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruth E. Baker United Kingdom	37	2.6k	1.9k	1.1k	842	634	207	5.9k
Kevin J. Painter United Kingdom	32	2.1k 0.8×	1.6k 0.9×	3.1k 2.9×	550 0.7×	81 0.1×	81	4.7k
Philip K. Maini United Kingdom	66	6.3k 2.4×	4.0k 2.2×	4.8k 4.5×	2.0k 2.4×	641 1.0×	396	16.2k
Jonathan A. Sherratt United Kingdom	48	1.4k 0.5×	1.8k 1.0×	2.3k 2.2×	631 0.7×	40 0.1×	169	6.8k
Helen M. Byrne United Kingdom	52	3.2k 1.2×	2.9k 1.5×	4.8k 4.6×	1.8k 2.1×	62 0.1×	286	10.1k
Malcolm S. Steinberg United States	46	4.0k 1.5×	4.6k 2.5×	356 0.3×	2.8k 3.4×	136 0.2×	89	8.8k
Eamonn A. Gaffney United Kingdom	38	1.2k 0.4×	553 0.3×	429 0.4×	1.5k 1.7×	27 0.0×	182	5.2k
Arthur D. Lander United States	58	6.3k 2.4×	4.0k 2.2×	294 0.3×	436 0.5×	160 0.3×	132	10.0k
Stuart A. Newman United States	46	3.2k 1.2×	1.5k 0.8×	383 0.4×	583 0.7×	60 0.1×	156	6.2k
Sui Huang United States	60	9.0k 3.5×	4.4k 2.4×	795 0.8×	4.5k 5.3×	72 0.1×	158	18.7k
Allon M. Klein United States	48	10.9k 4.2×	1.7k 0.9×	225 0.2×	1.4k 1.7×	422 0.7×	75	17.2k

Countries citing papers authored by Ruth E. Baker

Since Specialization

Citations

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

Fields of papers citing papers by Ruth E. Baker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth E. Baker. 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 Ruth E. Baker. The network helps show where Ruth E. Baker may publish in the future.

Co-authorship network of co-authors of Ruth E. Baker

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth E. Baker. A scholar is included among the top collaborators of Ruth E. Baker 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 Ruth E. Baker. Ruth E. Baker 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

Browning, Alexander P., et al.. (2024). Structural identifiability analysis of linear reaction–advection–diffusion processes in mathematical biology. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 480(2286). 10 indexed citations

Baker, Ruth E., et al.. (2024). Modelling collective invasion with reaction–diffusion equations: When does domain curvature matter?. Applied Mathematics Letters. 160. 109315–109315. 1 indexed citations

McLennan, Rebecca, Jessica M. Teddy, Mary Cathleen McKinney, et al.. (2023). Dynamic fibronectin assembly and remodeling by leader neural crest cells prevents jamming in collective cell migration. eLife. 12. 16 indexed citations

Baker, Ruth E., et al.. (2021). Multifidelity approximate Bayesian computation with sequential Monte Carlo parameter sampling. arXiv (Cornell University). 7 indexed citations

Johnston, Stuart T., Ruth E. Baker, D. L. S. McElwain, & Matthew J. Simpson. (2020). Co-operation, Competition and Crowding: A Discrete Framework Linking Allee Kinetics, Nonlinear Diffusion, Shocks and Sharp-Fronted Travelling Waves.. Minerva Access (University of Melbourne). 23 indexed citations

Simpson, Matthew J., Ruth E. Baker, Sean T. Vittadello, & Oliver J. Maclaren. (2020). Practical parameter identifiability for spatio-temporal models of cell invasion. Journal of The Royal Society Interface. 17(164). 20200055–20200055. 60 indexed citations

Murphy, Ryan J., Pascal R. Buenzli, Ruth E. Baker, & Matthew J. Simpson. (2020). Mechanical Cell Competition in Heterogeneous Epithelial Tissues. Bulletin of Mathematical Biology. 82(10). 130–130. 15 indexed citations

Warne, David J., Ruth E. Baker, & Matthew J. Simpson. (2020). A practical guide to pseudo-marginal methods for computational inference in systems biology. Journal of Theoretical Biology. 496. 110255–110255. 11 indexed citations

McLennan, Rebecca, Mary Cathleen McKinney, Jessica M. Teddy, et al.. (2019). Neural crest cells bulldoze through the microenvironment using Aquaporin 1 to stabilize filopodia. Development. 147(1). 27 indexed citations

10.

Fadai, Nabil T., Ruth E. Baker, & Matthew J. Simpson. (2019). Accurate and efficient discretizations for stochastic models providing near agent-based spatial resolution at low computational cost. Journal of The Royal Society Interface. 16(159). 20190421–20190421. 14 indexed citations

11.

Murphy, Ryan J., Pascal R. Buenzli, Ruth E. Baker, & Matthew J. Simpson. (2019). A one-dimensional individual-based mechanical model of cell movement in heterogeneous tissues and its coarse-grained approximation. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 475(2227). 20180838–20180838. 22 indexed citations

12.

Baker, Ruth E., et al.. (2019). Mechanistic and experimental models of cell migration reveal the importance of cell-to-cell pushing in cell invasion. Biomedical Physics & Engineering Express. 5(4). 45009–45009. 7 indexed citations

13.

Warne, David J., Ruth E. Baker, & Matthew J. Simpson. (2019). Using Experimental Data and Information Criteria to Guide Model Selection for Reaction–Diffusion Problems in Mathematical Biology. Bulletin of Mathematical Biology. 81(6). 1760–1804. 56 indexed citations

14.

Baker, Ruth E., José-María Peña, Jayaratnam Jayamohan, & Antoine Jérusalem. (2018). Mechanistic models versus machine learning, a fight worth fighting for the biological community?. Biology Letters. 14(5). 20170660–20170660. 232 indexed citations

15.

Kursawe, Jochen, Rémi Bardenet, Jeremiah J. Zartman, Ruth E. Baker, & Alexander G. Fletcher. (2016). Robust cell tracking in epithelial tissues through identification of maximum common subgraphs. Journal of The Royal Society Interface. 13(124). 20160725–20160725. 6 indexed citations

16.

Penington, Catherine J., Ruth E. Baker, & Matthew J. Simpson. (2016). Exits in order: How crowding affects particle lifetimes. The Journal of Chemical Physics. 144(24). 244107–244107. 1 indexed citations

17.

McLennan, Rebecca, Linus J. Schumacher, Jason A. Morrison, et al.. (2015). Neural crest migration is driven by a few trailblazer cells with a unique molecular signature narrowly confined to the invasive front. Development. 142(11). 2014–2025. 98 indexed citations

18.

Simpson, Matthew J. & Ruth E. Baker. (2015). Exact calculations of survival probability for diffusion on growing lines, disks, and spheres: The role of dimension. The Journal of Chemical Physics. 143(9). 94109–94109. 15 indexed citations

19.

Johnston, Stuart T., Matthew J. Simpson, & Ruth E. Baker. (2015). Modelling the movement of interacting cell populations: A moment dynamics approach. Journal of Theoretical Biology. 370. 81–92. 17 indexed citations

20.

Romero, Aldemaro, et al.. (2002). Environmental History of Marine Mammal Exploitation in Trinidad and Tobago, W.I., and its Ecological Impact. Environment and History. 8(3). 255–274. 13 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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