Gaynor Randle
- Infectious Diseases top 1%
- Molecular Biology top 10%
- Clinical Biochemistry top 0.5%
- Epidemiology top 5%
- Microbiology top 2%
- Co-authors
- Brian G. SprattMark C. EnrightEdward J. FeilHajo GrundmannD. Ashley RobinsonReimi E. KinoshitaAndrew SimpsonDaniel Godoy
- Topics
- Glycosylation and Glycoproteins Research (3 papers)Burkholderia infections and melioidosis (3 papers)Bacterial Infections and Vaccines (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of BacteriologyJournal of Clinical Microbiology
- 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
- Infectious Diseases 995
- Molecular Biology 927
- Clinical Biochemistry 579
- Epidemiology 517
- Microbiology 231
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 of co-authors of Gaynor Randle
This figure shows the co-authorship network connecting the top 25 collaborators of Gaynor Randle. A scholar is included among the top collaborators of Gaynor Randle 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 Gaynor Randle. Gaynor Randle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 114 | |
| 2 | 32 | |
| 3 | 44 | |
| 4 | Multilocus Sequence Typing and Evolutionary Relationships among the Causative Agents of Melioidosis and Glanders, and. | 3 |
| 5 | 4 | |
| 6 | 351 | |
| 7 | 172 | |
| 8 | The evolutionary history of methicillin-resistant Staphylococcus aureus (MRSA)breakdown → | 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) and Bacterial Infections and Vaccines (3 papers). 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 Proceedings of the National Academy of Sciences, Journal of Bacteriology and Journal of Clinical 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.