E. Warwick Daw

12.8k citations
47 papers · 1.5k · h-index 17

Impact in

Papers in

    • Genetic Associations and Epidemiology 24
    • Genetic Mapping and Diversity in Plants and Animals 13
    • Genetic and phenotypic traits in livestock 4
    • Genetics and Physical Performance 4
    • Epigenetics and DNA Methylation 6
    • Bioinformatics and Genomic Networks 6

E. Warwick Daw

43 papers receiving 1.5k citations

Peers

E. Warwick Daw
Comparison fields: 5 of 104
  • Complementary and alternative medicine 227
  • Aging 48
  • Genetics 677
  • Physiology 560
  • Orthopedics and Sports Medicine 134
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Citations per year

Countries citing papers authored by E. Warwick Daw

Since Specialization
Citations

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

Fields of papers citing papers by E. Warwick Daw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998390
2 2000213
3 199985
4 200480
5 199976
6 200068
7 200759
8 201359
9 199856
10 200454
11 199846
12
Familial resemblance for body composition measures: the HERITAGE Family Study.
199738
13 201330
14 200927
15 200527
16 199526
17 200317
18 201516
19 201316
20 201616

About E. Warwick Daw

E. Warwick Daw is a scholar working on Genetics, Molecular Biology, Physiology, Epidemiology and Aging, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (24 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Epigenetics and DNA Methylation (6 papers), Bioinformatics and Genomic Networks (6 papers), Genetic and phenotypic traits in livestock (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Genetics and Physical Performance (4 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Complementary and alternative medicine (227 citations), Aging (48 citations), Genetics (677 citations), Physiology (560 citations) and Orthopedics and Sports Medicine (134 citations). E. Warwick Daw has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Ellen M. Wijsman, Claude Bouchard, Jack H. Wilmore, D. C. Rao, Treva Rice, Arthur S. Leon, Michael A. Province, David Nochlin, Thomas D. Bird and Jacques Gagnon. Their work appears in journals such as Genetic Epidemiology, BMC Genetics, The Journals of Gerontology Series A, The American Journal of Human Genetics and Medicine & Science in Sports & Exercise.

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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