D. Ashley Robinson
- Infectious Diseases top 0.1%
- Molecular Biology top 2%
- Clinical Biochemistry top 0.05%
- Epidemiology top 2%
- Public Health, Environmental and Occupational Health top 1%
- Co-authors
- Mark C. EnrightHajo GrundmannEdward J. FeilBrian G. SprattGaynor RandleFernando BaqueroMarc J. M. BontenJanetta Top
- Topics
- Antimicrobial Resistance in Staphylococcus (57 papers)Bacterial biofilms and quorum sensing (27 papers)Streptococcal Infections and Treatments (17 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
D. Ashley Robinson
102 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Infectious Diseases 5.2k
- Molecular Biology 3.4k
- Clinical Biochemistry 2.4k
- Epidemiology 1.2k
- Public Health, Environmental and Occupational Health 1.1k
Countries citing papers authored by D. Ashley Robinson
This map shows the geographic impact of D. Ashley Robinson'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 D. Ashley Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Ashley Robinson more than expected).
Fields of papers citing papers by D. Ashley Robinson
This network shows the impact of papers produced by D. Ashley Robinson. 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 D. Ashley Robinson. The network helps show where D. Ashley Robinson may publish in the future.
Co-authorship network of co-authors of D. Ashley Robinson
This figure shows the co-authorship network connecting the top 25 collaborators of D. Ashley Robinson. A scholar is included among the top collaborators of D. Ashley Robinson 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 D. Ashley Robinson. D. Ashley Robinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 25 | |
| 8 | 20 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | 32 | |
| 12 | 18 | |
| 13 | 7 | |
| 14 | 19 | |
| 15 | 60 | |
| 16 | 25 | |
| 17 | 5 | |
| 18 | 197 | |
| 19 | 159 | |
| 20 | Loops which are cyclic extensions of their nuclei | 4 |
About D. Ashley Robinson
D. Ashley Robinson is a scholar working on Theoretical Computer Science, Infectious Diseases and Microbiology, having authored 104 papers that have together received 7.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (57 papers), Bacterial biofilms and quorum sensing (27 papers) and Streptococcal Infections and Treatments (17 papers). The work is most often cited by research in Clinical Biochemistry (2.4k citations), Infectious Diseases (5.2k citations) and Microbiology (717 citations). D. Ashley Robinson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mark C. Enright, Hajo Grundmann, Edward J. Feil, Brian G. Spratt, Gaynor Randle, Fernando Baquero, Marc J. M. Bonten, Janetta Top, Teresa M. Coque and Rob J. L. Willems. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and PLoS ONE.
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.