Robert Beardmore
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in ⓘ
- Genetics 24
- Evolution and Genetic Dynamics 24
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- Gut microbiota and health 6
- Genomics and Phylogenetic Studies 3
- Co-authors
- Ivana Gudelj (18 shared papers)Hinrich Schulenburg (10 shared papers)Gunther Jansen (7 shared papers)Rafael Peña‐Miller (11 shared papers)Philip Rosenstiel (5 shared papers)Camilo Barbosa (3 shared papers)Ayari Fuentes-Hernández (3 shared papers)Laurence D. Hurst (2 shared papers)
- Journals
- PLoS Biology (4 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (3 papers)Molecular Biology and Evolution (3 papers)Journal of The Royal Society Interface (3 papers)Nature Ecology & Evolution (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Robert Beardmore
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 125
- Molecular Medicine 356
- Applied Microbiology and Biotechnology 96
- Genetics 625
- Endocrinology 94
- Numerical Analysis 83
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 157 | |
| 2 | 2014 | 152 | |
| 3 | 2017 | 116 | |
| 4 | 2011 | 85 | |
| 5 | 2018 | 65 | |
| 6 | 2015 | 63 | |
| 7 | 2001 | 56 | |
| 8 | 2007 | 53 | |
| 9 | 2017 | 48 | |
| 10 | 2017 | 45 | |
| 11 | 2015 | 43 | |
| 12 | 2015 | 41 | |
| 13 | 2008 | 39 | |
| 14 | 2014 | 36 | |
| 15 | 2010 | 30 | |
| 16 | 2010 | 27 | |
| 17 | 2021 | 21 | |
| 18 | 2002 | 20 | |
| 19 | 2012 | 19 | |
| 20 | 1998 | 18 |
About Robert Beardmore
Robert Beardmore is a scholar working on Genetics, Molecular Biology, Numerical Analysis, Sociology and Political Science and Molecular Medicine, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (24 papers), Numerical methods for differential equations (8 papers), Evolutionary Game Theory and Cooperation (8 papers), Antibiotic Resistance in Bacteria (8 papers), Gut microbiota and health (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Molecular Medicine (356 citations), Applied Microbiology and Biotechnology (96 citations), Genetics (625 citations), Endocrinology (94 citations) and Numerical Analysis (83 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 Rosenstiel, Camilo Barbosa, Ayari Fuentes-Hernández, Laurence D. Hurst, 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, Molecular Biology and Evolution, Journal of The Royal Society Interface and Nature Ecology & Evolution.
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.