Conor R. Walker
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Genomics and Phylogenetic Studies 2
- Single-cell and spatial transcriptomics 1
-
- Chromosomal and Genetic Variations 2
- Plant Virus Research Studies 2
- Co-authors
- Nicola De Maio (5 shared papers)Nick Goldman (4 shared papers)Russell Corbett‐Detig (3 shared papers)Yatish Turakhia (3 shared papers)Robert Lanfear (2 shared papers)Lukas Weilguny (2 shared papers)Bryan Thornlow (1 shared paper)Greg Slodkowicz (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Cell (1 paper)PLoS Computational Biology (1 paper)Molecular Biology and Evolution (1 paper)Genome Biology and Evolution (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Conor R. Walker
6 papers receiving 214 citations
Peers
Comparison fields: 5 of 39
- Infectious Diseases 141
- Modeling and Simulation 29
- Animal Science and Zoology 32
- Molecular Biology 107
- Virology 7
Countries citing papers authored by Conor R. Walker
This map shows the geographic impact of Conor R. Walker'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 Conor R. Walker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor R. Walker more than expected).
Fields of papers citing papers by Conor R. Walker
This network shows the impact of papers produced by Conor R. Walker. 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 Conor R. Walker. The network helps show where Conor R. Walker may publish in the future.
Co-authors
The 25 scholars most cited alongside Conor R. Walker, 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 | 2021 | 80 | |
| 2 | 2020 | 55 | |
| 3 | 2020 | 51 | |
| 4 | 2022 | 17 | |
| 5 | 2021 | 10 | |
| 6 | 2024 | 5 |
About Conor R. Walker
Conor R. Walker is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Genetics and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 218 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Chromosomal and Genetic Variations (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant Virus Research Studies (2 papers), Evolution and Genetic Dynamics (2 papers), Single-cell and spatial transcriptomics (1 paper), Genetic diversity and population structure (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Infectious Diseases (141 citations), Modeling and Simulation (29 citations), Animal Science and Zoology (32 citations), Molecular Biology (107 citations) and Virology (7 citations). Conor R. Walker has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Nicola De Maio, Nick Goldman, Russell Corbett‐Detig, Yatish Turakhia, Robert Lanfear, Lukas Weilguny, Bryan Thornlow, Greg Slodkowicz, Rui Borges and Jason D. Fernandes. Their work appears in journals such as PLoS Genetics, Cell, PLoS Computational Biology, Molecular Biology and Evolution and Genome Biology and Evolution.
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.