Robert Beardmore

2.0k total citations
48 papers, 1.3k citations indexed

About

Robert Beardmore is a scholar working on Genetics, Molecular Biology and Numerical Analysis. According to data from OpenAlex, Robert Beardmore has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 13 papers in Molecular Biology and 10 papers in Numerical Analysis. Recurrent topics in Robert Beardmore's work include Evolution and Genetic Dynamics (24 papers), Evolutionary Game Theory and Cooperation (8 papers) and Antibiotic Resistance in Bacteria (8 papers). Robert Beardmore is often cited by papers focused on Evolution and Genetic Dynamics (24 papers), Evolutionary Game Theory and Cooperation (8 papers) and Antibiotic Resistance in Bacteria (8 papers). Robert Beardmore collaborates with scholars based in United Kingdom, Germany and United States. Robert Beardmore's co-authors include Ivana Gudelj, Hinrich Schulenburg, Gunther Jansen, Rafael Peña‐Miller, Philip Rosenstiel, Camilo Barbosa, Ayari Fuentes-Hernández, Laurence D. Hurst, David Laehnemann and Fabio Gori and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Robert Beardmore

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Beardmore United Kingdom 19 625 421 356 188 149 48 1.3k
Rafael Peña‐Miller Mexico 16 535 0.9× 435 1.0× 468 1.3× 253 1.3× 69 0.5× 28 1.1k
Pia Abel zur Wiesch United States 17 370 0.6× 438 1.0× 295 0.8× 139 0.7× 53 0.4× 35 1.3k
Michael Baym United States 21 732 1.2× 1.6k 3.8× 437 1.2× 375 2.0× 144 1.0× 38 2.8k
Ofer Fridman Israel 7 671 1.1× 939 2.2× 614 1.7× 248 1.3× 55 0.4× 8 1.9k
Benjamin C Kirkup United States 14 340 0.5× 541 1.3× 229 0.6× 284 1.5× 246 1.7× 30 1.3k
Miriam Barlow United States 25 544 0.9× 1.0k 2.4× 1.2k 3.4× 290 1.5× 92 0.6× 38 2.3k
Allison J. Lopatkin United States 24 579 0.9× 1.1k 2.7× 955 2.7× 396 2.1× 61 0.4× 45 2.5k
Irit Levin-Reisman Israel 9 619 1.0× 782 1.9× 517 1.5× 201 1.1× 52 0.3× 10 1.6k
Daniel M. Cornforth United States 13 442 0.7× 752 1.8× 159 0.4× 277 1.5× 176 1.2× 16 1.5k
Mohamed Rhouma Canada 15 68 0.1× 214 0.5× 444 1.2× 72 0.4× 21 0.1× 39 1.1k

Countries citing papers authored by Robert Beardmore

Since Specialization
Citations

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

Fields of papers citing papers by Robert Beardmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Beardmore. 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 Robert Beardmore. The network helps show where Robert Beardmore may publish in the future.

Co-authorship network of co-authors of Robert Beardmore

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Beardmore. A scholar is included among the top collaborators of Robert Beardmore 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 Robert Beardmore. Robert Beardmore 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.
Meyer, Justin R., et al.. (2024). Bacterial resistance response and resource availability mediate viral coexistence. Journal of Evolutionary Biology. 37(4). 371–382. 1 indexed citations
2.
Schulenburg, Hinrich, et al.. (2023). Ribosome-binding antibiotics increase bacterial longevity and growth efficiency. Proceedings of the National Academy of Sciences. 120(40). e2221507120–e2221507120. 8 indexed citations
3.
Catalán, Pablo, et al.. (2022). Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata. Nature Communications. 13(1). 2917–2917. 16 indexed citations
4.
Catalán, Pablo, Gunther Jansen, Tobias Bergmiller, et al.. (2021). The Antibiotic Dosage of Fastest Resistance Evolution: Gene Amplifications Underpinning the Inverted-U. Molecular Biology and Evolution. 38(9). 3847–3863. 3 indexed citations
5.
Beardmore, Robert, et al.. (2021). Predicting microbial growth dynamics in response to nutrient availability. PLoS Computational Biology. 17(3). e1008817–e1008817. 21 indexed citations
6.
Barbosa, Camilo, Robert Beardmore, Hinrich Schulenburg, & Gunther Jansen. (2018). Antibiotic combination efficacy (ACE) networks for a Pseudomonas aeruginosa model. PLoS Biology. 16(4). e2004356–e2004356. 65 indexed citations
7.
Beardmore, Robert, Emily Cook, Adam R. Smith, et al.. (2018). Drug-mediated metabolic tipping between antibiotic resistant states in a mixed-species community. Nature Ecology & Evolution. 2(8). 1312–1320. 14 indexed citations
8.
Gori, Fabio, et al.. (2017). The unconstrained evolution of fast and efficient antibiotic-resistant bacterial genomes. Nature Ecology & Evolution. 1(3). 50–50. 48 indexed citations
9.
Beardmore, Robert, et al.. (2017). Antibiotic Cycling and Antibiotic Mixing: which one best mitigates antibiotic resistance?. Molecular Biology and Evolution. 34(4). msw292–msw292. 45 indexed citations
10.
Barrett, Ian P., et al.. (2016). Kinase Inhibition Leads to Hormesis in a Dual Phosphorylation-Dephosphorylation Cycle. PLoS Computational Biology. 12(11). e1005216–e1005216. 11 indexed citations
11.
Meyer, Justin R., Ivana Gudelj, & Robert Beardmore. (2015). Biophysical mechanisms that maintain biodiversity through trade-offs. Nature Communications. 6(1). 6278–6278. 41 indexed citations
12.
Laehnemann, David, Rafael Peña‐Miller, Philip Rosenstiel, et al.. (2014). Genomics of Rapid Adaptation to Antibiotics: Convergent Evolution and Scalable Sequence Amplification. Genome Biology and Evolution. 6(6). 1287–1301. 36 indexed citations
13.
Peña‐Miller, Rafael, David Lähnemann, Hinrich Schulenburg, Martin Ackermann, & Robert Beardmore. (2011). Selecting Against Antibiotic-Resistant Pathogens: Optimal Treatments in the Presence of Commensal Bacteria. Bulletin of Mathematical Biology. 74(4). 908–934. 15 indexed citations
14.
Beardmore, Robert, et al.. (2010). Rotating antibiotics selects optimally against antibiotic resistance, in theory. Mathematical Biosciences & Engineering. 7(3). 527–552. 30 indexed citations
15.
Peters, Ruth, Nigel Beckett, Robert Beardmore, et al.. (2010). Modelling Cognitive Decline in the Hypertension in the Very Elderly Trial [HYVET] and Proposed Risk Tables for Population Use. PLoS ONE. 5(7). e11775–e11775. 11 indexed citations
16.
Beardmore, Robert, et al.. (2010). Antibiotic cycling versus mixing: The difficulty of using mathematicalmodels to definitively quantify their relative merits. Mathematical Biosciences & Engineering. 7(4). 923–933. 27 indexed citations
17.
Gudelj, Ivana, et al.. (2007). Constraints on microbial metabolism drive evolutionary diversification in homogeneous environments. Journal of Evolutionary Biology. 20(5). 1882–1889. 53 indexed citations
18.
Beardmore, Robert & Andrew Peplow. (2007). A bifurcation analysis of the Ornstein–Zernike equation with hypernetted chain closure. Journal of Mathematical Analysis and Applications. 333(2). 919–942. 1 indexed citations
19.
Peplow, Andrew, et al.. (2004). Finite time extinction in nonlinear diffusion equations. Applied Mathematics Letters. 17(5). 561–567. 5 indexed citations
20.
Beardmore, Robert, et al.. (2003). Sequential and continuum bifurcations in degenerate elliptic equations. Proceedings of the American Mathematical Society. 132(1). 165–174. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rafael Peña‐Miller Breakdown of academic impact, for papers by Pia Abel zur Wiesch Breakdown of academic impact, for papers by Michael Baym Breakdown of academic impact, for papers by Ofer Fridman Breakdown of academic impact, for papers by Benjamin C Kirkup Breakdown of academic impact, for papers by Miriam Barlow Breakdown of academic impact, for papers by Allison J. Lopatkin Breakdown of academic impact, for papers by Irit Levin-Reisman Breakdown of academic impact, for papers by Daniel M. Cornforth Breakdown of academic impact, for papers by Mohamed Rhouma
Rankless by CCL
2026