Robert Beardmore
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
- Genetics 25
- Evolution and Genetic Dynamics 25
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- Numerical methods for differential equations 8
- Differential Equations and Numerical Methods 3
- Co-authors
- Ivana Gudelj (19 shared papers)Hinrich Schulenburg (10 shared papers)Gunther Jansen (7 shared papers)Rafael Peña‐Miller (11 shared papers)Philip C Rosenstiel (4 shared papers)Camilo Barbosa (3 shared papers)Laurence D. Hurst (3 shared papers)Ayari Fuentes-Hernández (3 shared papers)
- Journals
- PLoS Biology (4 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (3 papers)Journal of The Royal Society Interface (3 papers)Molecular Biology and Evolution (3 papers)Nature (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Robert Beardmore
49 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 126
- Molecular Medicine 349
- Applied Microbiology and Biotechnology 89
- Genetics 678
- Endocrinology 100
- Numerical Analysis 86
Countries citing papers authored by Robert Beardmore
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
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-authors
The 25 scholars most cited alongside Robert Beardmore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 173 | |
| 2 | 2014 | 166 | |
| 3 | 2017 | 128 | |
| 4 | 2011 | 91 | |
| 5 | 2018 | 72 | |
| 6 | 2015 | 68 | |
| 7 | 2007 | 58 | |
| 8 | 2001 | 58 | |
| 9 | 2017 | 51 | |
| 10 | 2013 | 50 | |
| 11 | 2017 | 50 | |
| 12 | 2015 | 48 | |
| 13 | 2008 | 47 | |
| 14 | 2015 | 44 | |
| 15 | 2014 | 38 | |
| 16 | 2010 | 33 | |
| 17 | 2010 | 29 | |
| 18 | 2021 | 24 | |
| 19 | 2012 | 23 | |
| 20 | 2022 | 23 |
About Robert Beardmore
Robert Beardmore is a scholar working on Genetics, Numerical Analysis, Molecular Medicine, Computational Theory and Mathematics and Applied Microbiology and Biotechnology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (25 papers), Antibiotic Resistance in Bacteria (8 papers), Numerical methods for differential equations (8 papers), Evolutionary Game Theory and Cooperation (8 papers), Gut microbiota and health (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers) and Differential Equations and Numerical Methods (3 papers). The work is most often cited by research in Molecular Medicine (349 citations), Applied Microbiology and Biotechnology (89 citations), Genetics (678 citations), Endocrinology (100 citations) and Numerical Analysis (86 citations). Robert Beardmore has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Ivana Gudelj, Hinrich Schulenburg, Gunther Jansen, Rafael Peña‐Miller, Philip C Rosenstiel, Camilo Barbosa, Laurence D. Hurst, Ayari Fuentes-Hernández, David Laehnemann and Fabio Gori. Their work appears in journals such as PLoS Biology, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of The Royal Society Interface, Molecular Biology and Evolution and Nature.
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.