Geoffrey W. Coombs
- Infectious Diseases top 0.1%
- Molecular Biology top 2%
- Clinical Biochemistry top 0.02%
- Epidemiology top 2%
- Public Health, Environmental and Occupational Health top 1%
- Co-authors
- Frances O’BrienGraeme R. NimmoJulie PearsonBenjamin P. HowdenJan BellJohn TurnidgeStanley PangWarren B. Grubb
- Topics
- Antimicrobial Resistance in Staphylococcus (157 papers)Bacterial Identification and Susceptibility Testing (118 papers)Bacterial biofilms and quorum sensing (65 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Geoffrey W. Coombs
204 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Infectious Diseases 5.1k
- Molecular Biology 3.0k
- Clinical Biochemistry 3.0k
- Epidemiology 1.2k
- Public Health, Environmental and Occupational Health 1.2k
Countries citing papers authored by Geoffrey W. Coombs
This map shows the geographic impact of Geoffrey W. Coombs'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 Geoffrey W. Coombs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey W. Coombs more than expected).
Fields of papers citing papers by Geoffrey W. Coombs
This network shows the impact of papers produced by Geoffrey W. Coombs. 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 Geoffrey W. Coombs. The network helps show where Geoffrey W. Coombs may publish in the future.
Co-authorship network of co-authors of Geoffrey W. Coombs
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey W. Coombs. A scholar is included among the top collaborators of Geoffrey W. Coombs 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 Geoffrey W. Coombs. Geoffrey W. Coombs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | Fosfomycin susceptibility of Escherichia coli urinary tract infection isolates from Australia | 1 |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 35 | |
| 11 | 53 | |
| 12 | 20 | |
| 13 | 103 | |
| 14 | 8 | |
| 15 | Cousins, siblings, or copies: the genomics of recurrentStaphylococcus aureusinfections in chronic rhinosinusitis | 2 |
| 16 | 29 | |
| 17 | 24 | |
| 18 | 24 | |
| 19 | 26 | |
| 20 | 21 |
About Geoffrey W. Coombs
Geoffrey W. Coombs is a scholar working on Clinical Biochemistry, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 208 papers that have together received 6.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (157 papers), Bacterial Identification and Susceptibility Testing (118 papers) and Bacterial biofilms and quorum sensing (65 papers). The work is most often cited by research in Clinical Biochemistry (3.0k citations), Infectious Diseases (5.1k citations) and Applied Microbiology and Biotechnology (347 citations). Geoffrey W. Coombs has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Frances O’Brien, Graeme R. Nimmo, Julie Pearson, Benjamin P. Howden, Jan Bell, John Turnidge, Stanley Pang, Warren B. Grubb, Keryn Christiansen and John W. Pearman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.