Elizabeth Wrigley‐Field

699 citations
28 papers · 367 indexed · h-index 10

Elizabeth Wrigley‐Field

26 papers receiving 344 citations

Peers

Elizabeth Wrigley‐Field
Comparison fields: 5 of 74
  • Health 151
  • Modeling and Simulation 81
  • General Health Professions 131
  • Aging 6
  • Clinical Psychology 67
Replace Paul Sutton with:
Paul Sutton United Kingdom
Siddartha Aradhya Sweden
Bruno Luciano Carneiro Alves de Oliveira Brazil
Darren Hunt New Zealand
Benjamin Wachtler Germany
Oluwaseyi Olulana United States
Niels Michalski Germany
Irene Torres United States
Brian Aronson United States
Daniel López-Acuña Spain
Elizabeth Wrigley‐Field relative to Paul Sutton United Kingdom Paul Sutton's profile →
Citations per field
00.5×4.6×
Paul Sutton · 1×
Citations per year

Countries citing papers authored by Elizabeth Wrigley‐Field

Since Specialization
Citations

This map shows the geographic impact of Elizabeth Wrigley‐Field'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 Elizabeth Wrigley‐Field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Wrigley‐Field more than expected).

Fields of papers citing papers by Elizabeth Wrigley‐Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth Wrigley‐Field. 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 Elizabeth Wrigley‐Field. The network helps show where Elizabeth Wrigley‐Field may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Elizabeth Wrigley‐Field, 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 Elizabeth Wrigley‐Field Line = papers co-authored together Elizabeth Wrigley‐Field links everyone, so they are left out of the graph.

All Works

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About Elizabeth Wrigley‐Field

Elizabeth Wrigley‐Field is a scholar working on Health, Modeling and Simulation, General Health Professions, Demography and Oncology, having authored 28 papers that have together received 367 indexed citations. Recurring topics across this work include Health disparities and outcomes (14 papers), COVID-19 and healthcare impacts (9 papers), COVID-19 epidemiological studies (7 papers), Global Health Care Issues (6 papers), Insurance, Mortality, Demography, Risk Management (5 papers), Climate Change and Health Impacts (3 papers), Employment and Welfare Studies (2 papers) and Criminal Justice and Corrections Analysis (2 papers). The work is most often cited by research in Health (151 citations), Modeling and Simulation (81 citations), General Health Professions (131 citations), Aging (6 citations) and Clinical Psychology (67 citations). Elizabeth Wrigley‐Field has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Jonathon P. Leider, James Feigenbaum, Christopher Muller, Sarah García, David Van Riper, Yea‐Hung Chen, Alicia R. Riley, Mathew V. Kiang, Andrew Stokes and Kirsten Bibbins‐Domingo. Their work appears in journals such as Demography, JAMA Network Open, Socius Sociological Research for a Dynamic World, RSF The Russell Sage Foundation Journal of the Social Sciences and Proceedings of the National Academy of Sciences.

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.

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