David Napier

3.8k citations
11 papers · 353 · h-index 8

Impact in

    • Mesenchymal stem cell research
    • Health disparities and outcomes

Papers in

David Napier

10 papers receiving 342 citations

Peers

David Napier
Comparison fields: 5 of 101
  • Genetics 51
  • Health 31
  • Biomaterials 41
  • Modeling and Simulation 10
  • General Health Professions 49
Replace Luiz Fernando Quintanilha with:
Luiz Fernando Quintanilha Brazil
Rong Fu China
Mohammed Mashyakhy Saudi Arabia
Jonathon Pleat United Kingdom
Debra Bourne United States
Jieun Hwang South Korea
Martha S. Matthews United States
Carsten Hagenbeck Germany
Cristina Pires Camargo Brazil
Marco Antônio Dias da Silva Brazil
David Napier relative to Luiz Fernando Quintanilha Brazil Luiz Fernando Quintanilha's profile →
Citations per field
00.5×1.5×
Luiz Fernando Quintanilha · 1×
Citations per year

Countries citing papers authored by David Napier

Since Specialization
Citations

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

Fields of papers citing papers by David Napier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Napier. 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 David Napier. The network helps show where David Napier may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017205
2
Culture matters: using a cultural contexts of health approach to enhance policy-making
201746
3 202133
4 202017
5 201914
6 202113
7 20219
8 20198
9 20207
10 20201
11 20230

About David Napier

David Napier is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Infectious Diseases, Health and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 353 indexed citations. Recurring topics across this work include Zoonotic diseases and public health (3 papers), Viral Infections and Outbreaks Research (3 papers), Global Public Health Policies and Epidemiology (2 papers), Obesity, Physical Activity, Diet (2 papers), Vaccine Coverage and Hesitancy (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Health and Lifestyle Studies (1 paper) and Food Security and Health in Diverse Populations (1 paper). The work is most often cited by research in Genetics (51 citations), Health (31 citations), Biomaterials (41 citations), Modeling and Simulation (10 citations) and General Health Professions (49 citations). David Napier has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include Stephen Morris, Sahra Gibbon, Chris Mason, Emily J Culme-Seymour, Tracey Brown, Jack Stilgoe, Jeff Round, Adrian J. Thrasher, Francesco Muntoni and Jonathan Montgomery. Their work appears in journals such as Obesity Facts, European Journal of Public Health, Social Science & Medicine, Journal of Global Health and The Lancet.

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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