Liam Crawford
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 detection and testing 2
- SARS-CoV-2 and COVID-19 Research 2
- Viral gastroenteritis research and epidemiology 1
-
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Benita Percival (3 shared papers)Emma Moles-Garcia (3 shared papers)Alex Richter (2 shared papers)Michael Kidd (3 shared papers)Tim Plant (3 shared papers)Thomas White (3 shared papers)Alan McNally (3 shared papers)Jeremy Mirza (3 shared papers)
- Journals
- The Journal of Infectious Diseases (1 paper)PLoS Biology (1 paper)Virology (1 paper)Nature Microbiology (1 paper)PubMed (1 paper)
- Partner nations
- United KingdomItaly
In The Last Decade
Liam Crawford
5 papers receiving 244 citations
Peers
Comparison fields: 5 of 46
- Infectious Diseases 182
- Modeling and Simulation 37
- Animal Science and Zoology 15
- Oncology 36
- Molecular Biology 79
Countries citing papers authored by Liam Crawford
This map shows the geographic impact of Liam Crawford'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 Liam Crawford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Crawford more than expected).
Fields of papers citing papers by Liam Crawford
This network shows the impact of papers produced by Liam Crawford. 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 Liam Crawford. The network helps show where Liam Crawford may publish in the future.
Co-authors
The 23 scholars most cited alongside Liam Crawford, 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 | 145 | |
| 2 | 2021 | 44 | |
| 3 | 1963 | 34 | |
| 4 | Lack of immortalizing activity of a human papillomavirus type 16 variant DNA with a mutation in the E2 gene isolated from normal human cervical keratinocytes. | 1992 | 16 |
| 5 | 2020 | 10 |
About Liam Crawford
Liam Crawford is a scholar working on Infectious Diseases, Molecular Biology, Ecology, Oncology and Epidemiology, having authored 5 papers that have together received 249 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Biosensors and Analytical Detection (1 paper), COVID-19 diagnosis using AI (1 paper), COVID-19 epidemiological studies (1 paper), Bacteriophages and microbial interactions (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (182 citations), Modeling and Simulation (37 citations), Animal Science and Zoology (15 citations), Oncology (36 citations) and Molecular Biology (79 citations). Liam Crawford has collaborated with scholars based in United Kingdom and Italy. Frequent co-authors include Benita Percival, Emma Moles-Garcia, Alex Richter, Michael Kidd, Tim Plant, Thomas White, Alan McNally, Jeremy Mirza, Angus Best and Oliver Megram. Their work appears in journals such as The Journal of Infectious Diseases, PLoS Biology, Virology, Nature Microbiology and PubMed.
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.