Ian R. Monk
- Molecular Biology top 5%
- Infectious Diseases top 1%
- Biotechnology top 0.5%
- Genetics top 5%
- Food Science top 2%
- Co-authors
- Timothy P. StinearBenjamin P. HowdenCormac G. M. GahanColin HillTimothy J. FosterMin XuMan‐Wah TanIshita M. Shah
- Topics
- Antimicrobial Resistance in Staphylococcus (49 papers)Bacterial biofilms and quorum sensing (25 papers)Bacterial Genetics and Biotechnology (15 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsApplied and Environmental Microbiology
- Partner nations
- AustraliaIrelandUnited States
In The Last Decade
Ian R. Monk
73 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 2.0k
- Infectious Diseases 1.6k
- Biotechnology 722
- Genetics 516
- Food Science 461
Countries citing papers authored by Ian R. Monk
This map shows the geographic impact of Ian R. Monk'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 Ian R. Monk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian R. Monk more than expected).
Fields of papers citing papers by Ian R. Monk
This network shows the impact of papers produced by Ian R. Monk. 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 Ian R. Monk. The network helps show where Ian R. Monk may publish in the future.
Co-authorship network of co-authors of Ian R. Monk
This figure shows the co-authorship network connecting the top 25 collaborators of Ian R. Monk. A scholar is included among the top collaborators of Ian R. Monk 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 Ian R. Monk. Ian R. Monk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | Staphylococcus aureus host interactions and adaptationbreakdown → | 373 |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 30 | |
| 13 | 9 | |
| 14 | 27 | |
| 15 | 24 | |
| 16 | 55 | |
| 17 | 27 | |
| 18 | 13 | |
| 19 | 211 | |
| 20 | Transforming the Untransformable: Application of Direct Transformation To Manipulate Genetically Staphylococcus aureus and Staphylococcus epidermidisbreakdown → | 406 |
About Ian R. Monk
Ian R. Monk is a scholar working on Infectious Diseases, Biotechnology and Clinical Biochemistry, having authored 78 papers that have together received 3.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (49 papers), Bacterial biofilms and quorum sensing (25 papers) and Bacterial Genetics and Biotechnology (15 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Biotechnology (722 citations) and Microbiology (298 citations). Ian R. Monk has collaborated with scholars based in Australia, Ireland and United States. Frequent co-authors include Timothy P. Stinear, Benjamin P. Howden, Cormac G. M. Gahan, Colin Hill, Timothy J. Foster, Min Xu, Man‐Wah Tan, Timothy J. Foster, Ishita M. Shah and Phil Bremer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Applied and Environmental 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.