Chris Ruis
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Genomics and Phylogenetic Studies 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
- Ecology 1
- Bacteriophages and microbial interactions 1
- Co-authors
- Emily Scher (2 shared papers)Áine O’Toole (2 shared papers)Verity Hill (2 shared papers)Ben Jackson (2 shared papers)David M. Aanensen (2 shared papers)Oliver G. Pybus (2 shared papers)Andrew Rambaut (2 shared papers)Louis du Plessis (2 shared papers)
- Journals
- Virus Evolution (1 paper)PLoS ONE (1 paper)Apollo (University of Cambridge) (1 paper)
- Partner nations
- United KingdomAustralia
In The Last Decade
Chris Ruis
3 papers receiving 585 citations
Chris Ruis's Hit Papers
Peers
Comparison fields: 5 of 54
- Infectious Diseases 447
- Animal Science and Zoology 90
- Modeling and Simulation 36
- Microbiology 18
- Molecular Biology 162
Countries citing papers authored by Chris Ruis
This map shows the geographic impact of Chris Ruis'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 Chris Ruis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Ruis more than expected).
Fields of papers citing papers by Chris Ruis
This network shows the impact of papers produced by Chris Ruis. 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 Chris Ruis. The network helps show where Chris Ruis may publish in the future.
Co-authors
The 24 scholars most cited alongside Chris Ruis, 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 | Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool Hit paper breakdown → | 2021 | 563 |
| 2 | 2015 | 30 | |
| 3 | 2021 | 1 |
About Chris Ruis
Chris Ruis is a scholar working on Molecular Biology, Ecology, Microbiology, Immunology and Plant Science, having authored 3 papers that have together received 594 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Plant Virus Research Studies (1 paper), Bacteriophages and microbial interactions (1 paper), Amphibian and Reptile Biology (1 paper), Antimicrobial Peptides and Activities (1 paper), Aquaculture disease management and microbiota (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Infectious Diseases (447 citations), Animal Science and Zoology (90 citations), Modeling and Simulation (36 citations), Microbiology (18 citations) and Molecular Biology (162 citations). Chris Ruis has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Emily Scher, Áine O’Toole, Verity Hill, Ben Jackson, David M. Aanensen, Oliver G. Pybus, Andrew Rambaut, Louis du Plessis, Edward C. Holmes and Corin Yeats. Their work appears in journals such as Virus Evolution, PLoS ONE and Apollo (University of Cambridge).
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.