Liam Wright

1.7k citations
37 papers · 687 · h-index 15

Impact in

Papers in

Liam Wright

33 papers receiving 673 citations

Peers

Liam Wright
Comparison fields: 5 of 104
  • Modeling and Simulation 65
  • Health 90
  • Clinical Psychology 183
  • Microbiology 40
  • Applied Psychology 27
Replace Rob Lyerla with:
Rob Lyerla United States
Jovana Stojanovic Canada
Rachel Kachur United States
Tiejian Feng China
Abdulkarim Alrabiaah Saudi Arabia
Lisa N. Pealer United States
Charlotte Robin United Kingdom
Michael Lowery Wilson Finland
Samantha R. Rosenthal United States
Ndadilnasiya Waziri Nigeria
Liam Wright relative to Rob Lyerla United States Rob Lyerla's profile →
Citations per field
00.5×3.1×
Rob Lyerla · 1×
Citations per year

Countries citing papers authored by Liam Wright

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Liam Wright Line = papers co-authored together Liam Wright links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020109
2 202189
3 202157
4 202149
5 200742
6 202136
7 202136
8 202133
9 202028
10 200826
11 202223
12 202223
13 200719
14 202218
15 202215
16 202314
17 202310
18 20228
19 20237
20 20227

About Liam Wright

Liam Wright is a scholar working on Health, General Health Professions, Clinical Psychology, Epidemiology and Microbiology, having authored 37 papers that have together received 687 indexed citations. Recurring topics across this work include Microbial infections and disease research (3 papers), COVID-19 and Mental Health (3 papers), demographic modeling and climate adaptation (2 papers), Employment and Welfare Studies (2 papers), Health disparities and outcomes (2 papers), Birth, Development, and Health (2 papers), Genetic Associations and Epidemiology (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Modeling and Simulation (65 citations), Health (90 citations), Clinical Psychology (183 citations), Microbiology (40 citations) and Applied Psychology (27 citations). Liam Wright has collaborated with scholars based in United Kingdom, Norway and Australia. Frequent co-authors include Daisy Fancourt, Andrew Steptoe, BG CORNEY, David Bann, P. J. Blackall, Hei Wan Mak, H.N. Chinivasagam, Elise Paul, Neil M Davies and B.J. Rodwell. Their work appears in journals such as Journal of Epidemiology & Community Health, International Journal of Epidemiology, PLoS ONE, Avian Pathology and PLoS Genetics.

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.

Explore authors with similar magnitude of impact