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
- 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
- Angus Best (2 shared papers)Fiona Ashford (2 shared papers)Alex Richter (2 shared papers)Andrew Bosworth (3 shared papers)Emma Moles-Garcia (3 shared papers)Thomas White (3 shared papers)Jeremy Mirza (3 shared papers)Megan Mayhew (3 shared papers)
- Journals
- The Journal of Infectious Diseases (1 paper)Virology (1 paper)Nature Microbiology (1 paper)PLoS Biology (1 paper)PubMed (1 paper)
- Partner nations
- United KingdomItaly
In The Last Decade
Liam Crawford
5 papers receiving 245 citations
Peers
Comparison fields: 5 of 44
- Infectious Diseases 167
- Modeling and Simulation 29
- Oncology 32
- Animal Science and Zoology 13
- Molecular Biology 74
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 | 45 | |
| 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 250 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), Viral gastroenteritis research and epidemiology (1 paper), Biosensors and Analytical Detection (1 paper), COVID-19 epidemiological studies (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Polyomavirus and related diseases (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Infectious Diseases (167 citations), Modeling and Simulation (29 citations), Oncology (32 citations), Animal Science and Zoology (13 citations) and Molecular Biology (74 citations). Liam Crawford has collaborated with scholars based in United Kingdom and Italy. Frequent co-authors include Angus Best, Fiona Ashford, Alex Richter, Andrew Bosworth, Emma Moles-Garcia, Thomas White, Jeremy Mirza, Megan Mayhew, Tim Plant and Alan McNally. Their work appears in journals such as The Journal of Infectious Diseases, Virology, Nature Microbiology, PLoS Biology 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.