Liam Wright
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Communication top 5%
- Communication and COVID-19 Impact
Papers in
- Health 5
- Health disparities and outcomes 4
-
- Communication and COVID-19 Impact 4
- Co-authors
- Daisy E. Fancourt (12 shared papers)Andrew Steptoe (11 shared papers)David Bann (13 shared papers)Hei Wan Mak (1 shared paper)Neil M Davies (7 shared papers)Elise Paul (1 shared paper)Nishi Chaturvedi (2 shared papers)Alexandra Burton (1 shared paper)
- Journals
- Journal of Epidemiology & Community Health (5 papers)International Journal of Epidemiology (3 papers)PLoS ONE (3 papers)PLoS Genetics (3 papers)eLife (2 papers)
- Partner nations
- United KingdomNorwayFinland
In The Last Decade
Liam Wright
29 papers receiving 814 citations
Liam Wright's Hit Papers
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 115
- Communication 135
- Health 94
- Clinical Psychology 211
- Sociology and Political Science 279
Countries citing papers authored by Liam Wright
This map shows the geographic impact of Liam Wright'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 Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Wright more than expected).
Fields of papers citing papers by Liam Wright
This network shows the impact of papers produced by Liam Wright. 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 Wright. The network helps show where Liam Wright may publish in the future.
Co-authors
The 25 scholars most cited alongside Liam Wright, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Cummings effect: politics, trust, and behaviours during the COVID-19 pandemic Hit paper breakdown → | 2020 | 202 |
| 2 | 2020 | 114 | |
| 3 | 2021 | 95 | |
| 4 | 2021 | 66 | |
| 5 | 2021 | 56 | |
| 6 | 2021 | 45 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 35 | |
| 9 | 2022 | 30 | |
| 10 | 2022 | 24 | |
| 11 | 2022 | 20 | |
| 12 | 2022 | 17 | |
| 13 | 2023 | 17 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2017 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 5 |
About Liam Wright
Liam Wright is a scholar working on Health, Communication, Clinical Psychology, Sociology and Political Science and General Health Professions, having authored 33 papers that have together received 838 indexed citations. Recurring topics across this work include COVID-19 Prevention and Impact (7 papers), COVID-19 and Mental Health (5 papers), Communication and COVID-19 Impact (4 papers), Health disparities and outcomes (4 papers), Genetic Associations and Epidemiology (4 papers), Statistical Methods in Epidemiology (2 papers), Employment and Welfare Studies (2 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Modeling and Simulation (115 citations), Communication (135 citations), Health (94 citations), Clinical Psychology (211 citations) and Sociology and Political Science (279 citations). Liam Wright has collaborated with scholars based in United Kingdom, Norway and Finland. Frequent co-authors include Daisy E. Fancourt, Andrew Steptoe, David Bann, Hei Wan Mak, Neil M Davies, Elise Paul, Nishi Chaturvedi, Alexandra Burton, Rebecca Hardy and David Paton. Their work appears in journals such as Journal of Epidemiology & Community Health, International Journal of Epidemiology, PLoS ONE, PLoS Genetics and eLife.
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.