Graeme R. Nimmo
- Infectious Diseases top 0.2%
- Molecular Biology top 5%
- Clinical Biochemistry top 0.05%
- Epidemiology top 1%
- Public Health, Environmental and Occupational Health top 1%
- Co-authors
- Geoffrey W. CoombsHelen HeffernanFrançois VandeneschGérard LinaMichèle BesJérôme ÉtienneTimothy GreenlandTimothy S. Naimi
- Topics
- Antimicrobial Resistance in Staphylococcus (73 papers)Bacterial Identification and Susceptibility Testing (49 papers)Bacterial biofilms and quorum sensing (25 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Graeme R. Nimmo
156 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Infectious Diseases 4.0k
- Molecular Biology 2.1k
- Clinical Biochemistry 2.0k
- Epidemiology 2.0k
- Public Health, Environmental and Occupational Health 1.1k
Countries citing papers authored by Graeme R. Nimmo
This map shows the geographic impact of Graeme R. Nimmo'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 Graeme R. Nimmo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graeme R. Nimmo more than expected).
Fields of papers citing papers by Graeme R. Nimmo
This network shows the impact of papers produced by Graeme R. Nimmo. 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 Graeme R. Nimmo. The network helps show where Graeme R. Nimmo may publish in the future.
Co-authorship network of co-authors of Graeme R. Nimmo
This figure shows the co-authorship network connecting the top 25 collaborators of Graeme R. Nimmo. A scholar is included among the top collaborators of Graeme R. Nimmo 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 Graeme R. Nimmo. Graeme R. Nimmo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 31 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 58 | |
| 7 | 6 | |
| 8 | 103 | |
| 9 | 57 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 77 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 159 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 104 | |
| 19 | 56 | |
| 20 | 42 |
About Graeme R. Nimmo
Graeme R. Nimmo is a scholar working on Clinical Biochemistry, Infectious Diseases and Molecular Medicine, having authored 157 papers that have together received 6.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (73 papers), Bacterial Identification and Susceptibility Testing (49 papers) and Bacterial biofilms and quorum sensing (25 papers). The work is most often cited by research in Clinical Biochemistry (2.0k citations), Infectious Diseases (4.0k citations) and Molecular Medicine (938 citations). Graeme R. Nimmo has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Geoffrey W. Coombs, Helen Heffernan, François Vandenesch, Gérard Lina, Michèle Bes, Jérôme Étienne, Timothy Greenland, Timothy S. Naimi, Nadia Liassine and M.E. Reverdy. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Clinical Infectious Diseases.
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.