John Moat
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Resistance in Bacteria 6
-
- Bacterial biofilms and quorum sensing 3
- Co-authors
- Mathew Upton (6 shared papers)Christopher G. Dowson (4 shared papers)Graeme Fox (3 shared papers)Anne Barton (4 shared papers)Pauline Ho (4 shared papers)Stephen Eyre (4 shared papers)Madhura Castelino (4 shared papers)Paul Martin (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Canadian Journal of Microbiology (1 paper)Chemical Science (1 paper)Biofilm (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- United KingdomCanadaHong Kong
In The Last Decade
John Moat
16 papers receiving 533 citations
Peers
Comparison fields: 5 of 105
- Microbiology 113
- Molecular Medicine 40
- Endocrinology 31
- Organic Chemistry 166
- Dermatology 41
Countries citing papers authored by John Moat
This map shows the geographic impact of John Moat'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 John Moat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Moat more than expected).
Fields of papers citing papers by John Moat
This network shows the impact of papers produced by John Moat. 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 John Moat. The network helps show where John Moat may publish in the future.
Co-authors
The 25 scholars most cited alongside John Moat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 120 | |
| 2 | 2017 | 104 | |
| 3 | 2018 | 93 | |
| 4 | 2020 | 39 | |
| 5 | 2009 | 37 | |
| 6 | 2019 | 32 | |
| 7 | 2020 | 32 | |
| 8 | 2020 | 25 | |
| 9 | 2016 | 23 | |
| 10 | 2021 | 14 | |
| 11 | 2015 | 7 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2015 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2021 | 0 | |
| 18 | 1985 | 0 |
About John Moat
John Moat is a scholar working on Molecular Medicine, Molecular Biology, Microbiology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 539 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Peptides and Activities (3 papers), Bacterial biofilms and quorum sensing (3 papers), Bacteriophages and microbial interactions (3 papers), Dermatology and Skin Diseases (2 papers), Spondyloarthritis Studies and Treatments (2 papers), Plant Pathogens and Fungal Diseases (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Microbiology (113 citations), Molecular Medicine (40 citations), Endocrinology (31 citations), Organic Chemistry (166 citations) and Dermatology (41 citations). John Moat has collaborated with scholars based in United Kingdom, Canada and Hong Kong. Frequent co-authors include Mathew Upton, Christopher G. Dowson, Graeme Fox, Anne Barton, Pauline Ho, Stephen Eyre, Madhura Castelino, Paul Martin, Eleanor R. Townsend and Eleanor Jameson. Their work appears in journals such as Journal of Visualized Experiments, Canadian Journal of Microbiology, Chemical Science, Biofilm and ACS Applied Materials & Interfaces.
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.