John Moat
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 3
- Gut microbiota and health 3
-
- Antibiotic Resistance in Bacteria 6
- Co-authors
- Mathew Upton (6 shared papers)Christopher G. Dowson (4 shared papers)Graeme Fox (3 shared papers)Pauline Ho (4 shared papers)Madhura Castelino (4 shared papers)Stephen Eyre (4 shared papers)Anne Barton (4 shared papers)Paul Martin (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Canadian Journal of Microbiology (1 paper)Scientific Reports (1 paper)Annals of the Rheumatic Diseases (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United KingdomCanadaThailand
In The Last Decade
John Moat
16 papers receiving 508 citations
Peers
Comparison fields: 5 of 106
- Microbiology 114
- Molecular Medicine 41
- Endocrinology 29
- Organic Chemistry 156
- Dermatology 45
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 | 115 | |
| 2 | 2017 | 101 | |
| 3 | 2018 | 86 | |
| 4 | 2020 | 36 | |
| 5 | 2009 | 35 | |
| 6 | 2020 | 32 | |
| 7 | 2019 | 30 | |
| 8 | 2020 | 23 | |
| 9 | 2016 | 22 | |
| 10 | 2021 | 14 | |
| 11 | 2015 | 7 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 3 | |
| 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 Biology, Molecular Medicine, Infectious Diseases, Microbiology and Dermatology, having authored 18 papers that have together received 513 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Bacterial biofilms and quorum sensing (3 papers), Dermatology and Skin Diseases (3 papers), Antimicrobial Peptides and Activities (3 papers), Bacteriophages and microbial interactions (3 papers), Gut microbiota and health (3 papers), Spondyloarthritis Studies and Treatments (3 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Microbiology (114 citations), Molecular Medicine (41 citations), Endocrinology (29 citations), Organic Chemistry (156 citations) and Dermatology (45 citations). John Moat has collaborated with scholars based in United Kingdom, Canada and Thailand. Frequent co-authors include Mathew Upton, Christopher G. Dowson, Graeme Fox, Pauline Ho, Madhura Castelino, Stephen Eyre, Anne Barton, Paul Martin, Freya Harrison and Eleanor Jameson. Their work appears in journals such as Journal of Visualized Experiments, Canadian Journal of Microbiology, Scientific Reports, Annals of the Rheumatic Diseases and Bioorganic & Medicinal Chemistry Letters.
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.