Gaynor Randle
- Clinical Biochemistry top 0.5%
- Infectious Diseases top 1%
- Microbiology top 2%
- Bacterial Infections and Vaccines 3
- Molecular Medicine top 5%
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- Glycosylation and Glycoproteins Research 3
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- Burkholderia infections and melioidosis 3
- Pneumonia and Respiratory Infections 2
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- Plant Pathogenic Bacteria Studies 1
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- Phytochemistry and Bioactivity Studies 1
- Pharmacological Effects of Natural Compounds 1
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- Bacterial Genetics and Biotechnology 1
- Co-authors
- Brian G. SprattMark C. EnrightEdward J. FeilHajo GrundmannD. Ashley RobinsonReimi E. KinoshitaAndrew SimpsonDaniel Godoy
- Journals
- Journal of Clinical Microbiology (3 papers)Journal of Bacteriology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomCanadaHong Kong
In The Last Decade
Gaynor Randle
8 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Clinical Biochemistry 579
- Infectious Diseases 995
- Microbiology 231
- Molecular Medicine 157
- Applied Microbiology and Biotechnology 33
Countries citing papers authored by Gaynor Randle
This map shows the geographic impact of Gaynor Randle'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 Gaynor Randle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaynor Randle more than expected).
Fields of papers citing papers by Gaynor Randle
This network shows the impact of papers produced by Gaynor Randle. 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 Gaynor Randle. The network helps show where Gaynor Randle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaynor Randle, 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 | 2005 | 114 | |
| 2 | 2004 | 32 | |
| 3 | 2004 | 44 | |
| 4 | Multilocus Sequence Typing and Evolutionary Relationships among the Causative Agents of Melioidosis and Glanders, and. | 2003 | 3 |
| 5 | 2003 | 4 | |
| 6 | 2003 | 351 | |
| 7 | 2003 | 172 | |
| 8 | The evolutionary history of methicillin-resistant Staphylococcus aureus (MRSA)breakdown → | 2002 | 1227 |
About Gaynor Randle
Gaynor Randle is a scholar working on Microbiology, Endocrinology and Epidemiology, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Burkholderia infections and melioidosis (3 papers), Bacterial Infections and Vaccines (3 papers), Pneumonia and Respiratory Infections (2 papers), Plant Pathogenic Bacteria Studies (1 paper), Phytochemistry and Bioactivity Studies (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Clinical Biochemistry (579 citations), Infectious Diseases (995 citations) and Microbiology (231 citations). Gaynor Randle has collaborated with scholars based in United Kingdom, Canada and Hong Kong. Frequent co-authors include Brian G. Spratt, Mark C. Enright, Edward J. Feil, Hajo Grundmann, D. Ashley Robinson, Reimi E. Kinoshita, Andrew Simpson, Daniel Godoy, Tyrone L. Pitt and David M. Aanensen. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Bacteriology, Proceedings of the National Academy of Sciences and Molecular Microbiology.
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.