Johannes Cairns
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 3
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts 3
- Ecology top 10%
- Bacteriophages and microbial interactions 4
- Microbial Community Ecology and Physiology 4
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- Evolution and Genetic Dynamics 14
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- Evolutionary Game Theory and Cooperation 6
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- Plant and animal studies 3
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- Gene Regulatory Network Analysis 3
- Co-authors
- Teppo HiltunenJenni HultmanManu TamminenMarko VirtaAntti KarkmanKatariina PärnänenLutz BecksMatti Jalasvuori
- Journals
- PLoS Computational Biology (3 papers)Nature Ecology & Evolution (3 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)
- Partner nations
- FinlandUnited KingdomGermany
In The Last Decade
Johannes Cairns
22 papers receiving 554 citations
Peers
Comparison fields: 5 of 80
- Molecular Medicine 153
- Pollution 216
- Applied Microbiology and Biotechnology 32
- Ecology 200
- Genetics 120
Countries citing papers authored by Johannes Cairns
This map shows the geographic impact of Johannes Cairns'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 Johannes Cairns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Cairns more than expected).
Fields of papers citing papers by Johannes Cairns
This network shows the impact of papers produced by Johannes Cairns. 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 Johannes Cairns. The network helps show where Johannes Cairns may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johannes Cairns, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 25 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 18 | |
| 13 | 2018 | 24 | |
| 14 | 2018 | 28 | |
| 15 | 2018 | 73 | |
| 16 | 2018 | 184 | |
| 17 | 2018 | 17 | |
| 18 | 2016 | 15 | |
| 19 | 2016 | 16 | |
| 20 | 2016 | 31 |
About Johannes Cairns
Johannes Cairns is a scholar working on Molecular Medicine, Genetics and Applied Microbiology and Biotechnology, having authored 23 papers that have together received 558 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (14 papers), Evolutionary Game Theory and Cooperation (6 papers), Bacteriophages and microbial interactions (4 papers), Microbial Community Ecology and Physiology (4 papers), Plant and animal studies (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Gene Regulatory Network Analysis (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Molecular Medicine (153 citations), Pollution (216 citations) and Applied Microbiology and Biotechnology (32 citations). Johannes Cairns has collaborated with scholars based in Finland, United Kingdom and Germany. Frequent co-authors include Teppo Hiltunen, Jenni Hultman, Manu Tamminen, Marko Virta, Antti Karkman, Katariina Pärnänen, Lutz Becks, Matti Jalasvuori, Ville Mustonen and Lasse Ruokolainen. Their work appears in journals such as PLoS Computational Biology, Nature Ecology & Evolution, Proceedings of the Royal Society B Biological Sciences, FEMS Microbiology Ecology and The ISME Journal.
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.