David G. Davies
- Molecular Biology top 0.5%
- Endocrinology top 0.1%
- Periodontics top 0.1%
- Microbiology top 0.2%
- Genetics top 1%
- Co-authors
- Karin SauerJ. W. CostertonPaul StoodleyBarbara H. IglewskiJames P. PearsonE. Peter GreenbergMatthew R. ParsekCláudia N. H. Marques
- Topics
- Bacterial biofilms and quorum sensing (18 papers)Oral microbiology and periodontitis research (8 papers)Bacterial Genetics and Biotechnology (5 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
David G. Davies
29 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Molecular Biology 7.2k
- Endocrinology 1.6k
- Periodontics 1.3k
- Microbiology 1.3k
- Genetics 1.3k
Countries citing papers authored by David G. Davies
This map shows the geographic impact of David G. Davies'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 David G. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Davies more than expected).
Fields of papers citing papers by David G. Davies
This network shows the impact of papers produced by David G. Davies. 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 David G. Davies. The network helps show where David G. Davies may publish in the future.
Co-authorship network of co-authors of David G. Davies
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Davies. A scholar is included among the top collaborators of David G. Davies 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 David G. Davies. David G. Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 28 | |
| 3 | The use of signal molecules to manipulate the behavior of biofilm bacteria | 0 |
| 4 | Screening of Fungi for Self-Healing of Concrete Cracks | 1 |
| 5 | 80 | |
| 6 | 18 | |
| 7 | 95 | |
| 8 | 62 | |
| 9 | 55 | |
| 10 | 463 | |
| 11 | 69 | |
| 12 | 366 | |
| 13 | Understanding biofilm resistance to antibacterial agentsbreakdown → | 2226 |
| 14 | Pseudomonas aeruginosa Displays Multiple Phenotypes during Development as a Biofilmbreakdown → | 1218 |
| 15 | Biofilms as Complex Differentiated Communitiesbreakdown → | 2252 |
| 16 | 8 | |
| 17 | The Involvement of Cell-to-Cell Signals in the Development of a Bacterial Biofilmbreakdown → | 2522 |
| 18 | 25 | |
| 19 | 9 | |
| 20 | 11 |
About David G. Davies
David G. Davies is a scholar working on Periodontics, Horticulture and Endocrinology, having authored 30 papers that have together received 10.2k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (18 papers), Oral microbiology and periodontitis research (8 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Endocrinology (1.6k citations), Periodontics (1.3k citations) and Molecular Medicine (1.1k citations). David G. Davies has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Karin Sauer, J. W. Costerton, Paul Stoodley, Barbara H. Iglewski, James P. Pearson, E. Peter Greenberg, Matthew R. Parsek, Cláudia N. H. Marques, J. William Costerton and Anne K. Camper. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.