Finlay Campbell
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- SARS-CoV-2 detection and testing 1
- Viral Infections and Outbreaks Research 1
-
- COVID-19 epidemiological studies 2
- Co-authors
- Thibaut Jombart (4 shared papers)Henry Laurenson‐Schafer (1 shared paper)Yuka Jinnai (1 shared paper)Boris Pavlin (1 shared paper)Katelijn Vandemaele (1 shared paper)Maria D. Van Kerkhove (1 shared paper)Oliver Morgan (1 shared paper)Frank Konings (1 shared paper)
- Journals
- PLoS Pathogens (1 paper)PLoS Computational Biology (1 paper)BMC Bioinformatics (1 paper)Eurosurveillance (1 paper)
- Partner nations
- United KingdomSwitzerland
In The Last Decade
Finlay Campbell
4 papers receiving 664 citations
Finlay Campbell's Hit Papers
Peers
Comparison fields: 5 of 78
- Modeling and Simulation 185
- Infectious Diseases 454
- Health 50
- Animal Science and Zoology 46
- Epidemiology 106
Countries citing papers authored by Finlay Campbell
This map shows the geographic impact of Finlay Campbell'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 Finlay Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Finlay Campbell more than expected).
Fields of papers citing papers by Finlay Campbell
This network shows the impact of papers produced by Finlay Campbell. 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 Finlay Campbell. The network helps show where Finlay Campbell may publish in the future.
Co-authors
The 14 scholars most cited alongside Finlay Campbell, 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 | Increased transmissibility and global spread of SARS-CoV-2 variants of concern as at June 2021 Hit paper breakdown → | 2021 | 515 |
| 2 | 2018 | 66 | |
| 3 | 2018 | 50 | |
| 4 | 2019 | 45 |
About Finlay Campbell
Finlay Campbell is a scholar working on Infectious Diseases, Modeling and Simulation, Molecular Biology, Ecology and Organic Chemistry, having authored 4 papers that have together received 676 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers), Genomics and Phylogenetic Studies (1 paper), Bacteriophages and microbial interactions (1 paper), RNA and protein synthesis mechanisms (1 paper), SARS-CoV-2 detection and testing (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Modeling and Simulation (185 citations), Infectious Diseases (454 citations), Health (50 citations), Animal Science and Zoology (46 citations) and Epidemiology (106 citations). Finlay Campbell has collaborated with scholars based in United Kingdom and Switzerland. Frequent co-authors include Thibaut Jombart, Henry Laurenson‐Schafer, Yuka Jinnai, Boris Pavlin, Katelijn Vandemaele, Maria D. Van Kerkhove, Oliver Morgan, Frank Konings, Brett N. Archer and Olivier le Polain de Waroux. Their work appears in journals such as PLoS Pathogens, PLoS Computational Biology, BMC Bioinformatics and Eurosurveillance.
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.