Geraint Barton
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
Papers in ⓘ
-
- Fungal and yeast genetics research 2
- Microbial Metabolic Engineering and Bioproduction 2
- RNA and protein synthesis mechanisms 2
-
- Mycobacterium research and diagnosis 4
- Co-authors
- Sivaramesh Wigneshweraraj (2 shared papers)Daniel R. Brown (1 shared paper)Martin Buck (1 shared paper)Sarah Butcher (2 shared papers)Robin Wait (1 shared paper)Georgios Giamas (1 shared paper)Gregory J. Hannon (1 shared paper)Jonathan Waxman (1 shared paper)
- Journals
- BMC Genomics (3 papers)BMC Bioinformatics (2 papers)Nucleic Acids Research (2 papers)Molecular Microbiology (1 paper)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Geraint Barton
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 242
- Molecular Biology 608
- Genetics 216
- Molecular Medicine 31
- Plant Science 198
Countries citing papers authored by Geraint Barton
This map shows the geographic impact of Geraint Barton'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 Geraint Barton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geraint Barton more than expected).
Fields of papers citing papers by Geraint Barton
This network shows the impact of papers produced by Geraint Barton. 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 Geraint Barton. The network helps show where Geraint Barton may publish in the future.
Co-authors
The 25 scholars most cited alongside Geraint Barton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 280 | |
| 2 | 2012 | 178 | |
| 3 | 2014 | 129 | |
| 4 | 2010 | 121 | |
| 5 | 2013 | 53 | |
| 6 | 2012 | 48 | |
| 7 | 2011 | 34 | |
| 8 | 2015 | 32 | |
| 9 | 2012 | 32 | |
| 10 | 2017 | 29 | |
| 11 | 2016 | 17 | |
| 12 | 2008 | 15 | |
| 13 | 2013 | 14 | |
| 14 | 2013 | 13 | |
| 15 | 2013 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2013 | 9 |
About Geraint Barton
Geraint Barton is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Ecology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Mycobacterium research and diagnosis (4 papers), Bacteriophages and microbial interactions (3 papers), Tuberculosis Research and Epidemiology (3 papers), Wheat and Barley Genetics and Pathology (2 papers), Fungal and yeast genetics research (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cancer Research (242 citations), Molecular Biology (608 citations), Genetics (216 citations), Molecular Medicine (31 citations) and Plant Science (198 citations). Geraint Barton has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Sivaramesh Wigneshweraraj, Daniel R. Brown, Martin Buck, Sarah Butcher, Robin Wait, Georgios Giamas, Gregory J. Hannon, Jonathan Waxman, R. Charles Coombes and Paul Thiruchelvam. Their work appears in journals such as BMC Genomics, BMC Bioinformatics, Nucleic Acids Research, Molecular Microbiology and Applied Microbiology and Biotechnology.
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.