John Kenny
Impact in
- Ecology top 5%
- Bacteriophages and microbial interactions
- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Microbiology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 13
- Gut microbiota and health 9
- Ecology 16
- Bacteriophages and microbial interactions 8
- Microbial Community Ecology and Physiology 5
- Co-authors
- Neil Hall (16 shared papers)Alistair C. Darby (8 shared papers)Douwe van Sinderen (9 shared papers)Richard I. Gregory (4 shared papers)Umer Zeeshan Ijaz (5 shared papers)Gerald F. Fitzgerald (4 shared papers)Malcolm J. Horsburgh (3 shared papers)Melanie Schirmer (1 shared paper)
- Journals
- Scientific Reports (6 papers)PLoS ONE (5 papers)Journal of Bacteriology (3 papers)BMC Genomics (3 papers)Microbiology (2 papers)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
John Kenny
54 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 136
- Ecology 545
- Microbiology 100
- Food Science 264
- Infectious Diseases 255
- Molecular Biology 876
Countries citing papers authored by John Kenny
This map shows the geographic impact of John Kenny'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 Kenny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Kenny more than expected).
Fields of papers citing papers by John Kenny
This network shows the impact of papers produced by John Kenny. 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 Kenny. The network helps show where John Kenny may publish in the future.
Co-authors
The 25 scholars most cited alongside John Kenny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 277 | |
| 2 | 2009 | 150 | |
| 3 | 2019 | 114 | |
| 4 | 2017 | 90 | |
| 5 | 2022 | 77 | |
| 6 | 2004 | 77 | |
| 7 | 2009 | 72 | |
| 8 | 2021 | 64 | |
| 9 | 2018 | 55 | |
| 10 | 2003 | 52 | |
| 11 | 2019 | 52 | |
| 12 | 2015 | 43 | |
| 13 | 2014 | 42 | |
| 14 | 2018 | 42 | |
| 15 | 2014 | 42 | |
| 16 | 2018 | 37 | |
| 17 | 2020 | 37 | |
| 18 | 2005 | 36 | |
| 19 | 2018 | 35 | |
| 20 | 2005 | 35 |
About John Kenny
John Kenny is a scholar working on Molecular Biology, Ecology, Genetics, Food Science and Infectious Diseases, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Gut microbiota and health (9 papers), Bacteriophages and microbial interactions (8 papers), Probiotics and Fermented Foods (8 papers), Microbial Community Ecology and Physiology (5 papers), Genetic diversity and population structure (4 papers), Viral Infections and Vectors (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Ecology (545 citations), Microbiology (100 citations), Food Science (264 citations), Infectious Diseases (255 citations) and Molecular Biology (876 citations). John Kenny has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Neil Hall, Alistair C. Darby, Douwe van Sinderen, Richard I. Gregory, Umer Zeeshan Ijaz, Gerald F. Fitzgerald, Malcolm J. Horsburgh, Melanie Schirmer, Migun Shakya and R. D'Amore. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of Bacteriology, BMC Genomics and 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.