Matthew E. Dupre

924 citations
6 papers · 574 · 1 hit paper · h-index 4

Impact in

Papers in

    • Health disparities and outcomes 2
    • Insurance, Mortality, Demography, Risk Management 2

Matthew E. Dupre

6 papers receiving 555 citations

Matthew E. Dupre's Hit Papers

Major Trends in Population Growth Around the World 2021 · 454 citations
4540+1+3Years since publication100200300400

Peers

Matthew E. Dupre
Comparison fields: 5 of 132
  • Neuropsychology and Physiological Psychology 10
  • Health 40
  • Safety Research 27
  • Demography 33
  • Social Psychology 52
Replace Chunkai Li with:
Chunkai Li China
Hongwei Hu China
Lea den Broeder Netherlands
Kirill F. Andreev United States
Natalia R. Jones United Kingdom
Juho Rantala Finland
Juaci Vitória Malaquias Brazil
Anja Mizdrak New Zealand
Tiina E. Laatikainen Finland
Gale E. West Canada
Matthew E. Dupre relative to Chunkai Li China Chunkai Li's profile →
Citations per field
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Chunkai Li · 1×
Citations per year

Countries citing papers authored by Matthew E. Dupre

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Dupre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Dupre. 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 Matthew E. Dupre. The network helps show where Matthew E. Dupre may publish in the future.

Co-authors

The 20 scholars most cited alongside Matthew E. Dupre, 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 Matthew E. Dupre Line = papers co-authored together Matthew E. Dupre links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Matthew E. Dupre

Matthew E. Dupre is a scholar working on Health, Demography, General Health Professions, Safety Research and Finance, having authored 6 papers that have together received 574 indexed citations. Recurring topics across this work include Global Health Care Issues (3 papers), Health disparities and outcomes (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Early Childhood Education and Development (1 paper), Youth Development and Social Support (1 paper), Chronic Disease Management Strategies (1 paper), Climate Change and Health Impacts (1 paper) and Mentoring and Academic Development (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (10 citations), Health (40 citations), Safety Research (27 citations), Demography (33 citations) and Social Psychology (52 citations). Matthew E. Dupre has collaborated with scholars based in United States and Singapore. Frequent co-authors include Danan Gu, Kirill F. Andreev, Robert H. Aseltine, Hongyan Liu, Chi‐Tsun Chiu, Ann Marie Navar, Qing Yang, Ying Xian, Roland J. Thorpe and Utibe R. Essien. Their work appears in journals such as China CDC Weekly, PLoS ONE, ˜The œSpringer series on demographic methods and population analysis and JACC Advances.

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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