E. Warwick Daw

12.8k total citations
47 papers, 1.5k citations indexed

About

E. Warwick Daw is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, E. Warwick Daw has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 21 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in E. Warwick Daw's work include Genetic Associations and Epidemiology (24 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Epigenetics and DNA Methylation (6 papers). E. Warwick Daw is often cited by papers focused on Genetic Associations and Epidemiology (24 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Epigenetics and DNA Methylation (6 papers). E. Warwick Daw collaborates with scholars based in United States, Denmark and Canada. E. Warwick Daw's co-authors include Ellen M. Wijsman, Jack H. Wilmore, Claude Bouchard, D. C. Rao, Treva Rice, Arthur S. Leon, Michael A. Province, Thomas D. Bird, David Nochlin and Jacques Gagnon and has published in prestigious journals such as American Journal of Clinical Nutrition, The American Journal of Human Genetics and Human Molecular Genetics.

In The Last Decade

E. Warwick Daw

43 papers receiving 1.5k citations

Peers

E. Warwick Daw

GENET

PHYSI

CCM

CAM

Ping An United States

Sarah Voisin Australia

France T. Dionne Canada

Mario Mastrangelo Italy

Michail Tonkonogi Sweden

Javier Gil Spain

Brendan M. Gabriel Sweden

Megan E. Osler Sweden

Joshua Denham Australia

J. H. Williams United States

Ping An United States

E. Warwick Daw

669 ×1.0

GENET

555 ×1.0

PHYSI

274 ×0.6

351 ×1.5

CCM

312 ×1.4

CAM

Citations per year, relative to E. Warwick Daw E. Warwick Daw (= 1×) peers Ping An

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-authorship network of co-authors of E. Warwick Daw

This figure shows the co-authorship network connecting the top 25 collaborators of E. Warwick Daw. A scholar is included among the top collaborators of E. Warwick Daw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. Warwick Daw. E. Warwick Daw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Daw, E. Warwick, et al.. (2025). IMPROVEMENT OF QUALITATIVE COMPONENTS AND YIELD WITH THE CONTRIBUTION OF BIOLOGICAL FERTILIZERS IN ORGANIC PEPPER PRODUCTION. Applied Ecology and Environmental Research. 23(5). 8621–8638.

Andrade, Mariza de, E. Warwick Daw, Aldi T. Kraja, et al.. (2018). The challenge of detecting genotype-by-methylation interaction: GAW20. BMC Genetics. 19(S1). 81–81. 2 indexed citations

Minster, Ryan L., Jason L. Sanders, Jatinder Singh, et al.. (2015). Genome-Wide Association Study and Linkage Analysis of the Healthy Aging Index. The Journals of Gerontology Series A. 70(8). 1003–1008. 16 indexed citations

An, Ping, Robert J. Straka, Toni I. Pollin, et al.. (2014). Genome-wide association studies identified novel loci for non-high-density lipoprotein cholesterol and its postprandial lipemic response. Human Genetics. 133(7). 919–930. 8 indexed citations

Bae, Harold, Paola Sebastiani, Jenny X. Sun, et al.. (2013). Genome-Wide Association Study of Personality Traits in the Long Life Family Study. Frontiers in Genetics. 4. 65–65. 30 indexed citations

An, Ping, Iva Miljkovic, Bharat Thyagarajan, et al.. (2013). Genome-wide association study identifies common loci influencing circulating glycated hemoglobin (HbA1c) levels in non-diabetic subjects: The Long Life Family Study (LLFS). Metabolism. 63(4). 461–468. 16 indexed citations

Daw, E. Warwick, Jevon Plunkett, Mary F. Feitosa, et al.. (2009). A framework for analyzing both linkage and association: an analysis of Genetic Analysis Workshop 16 simulated data. BMC Proceedings. 3(S7). S98–S98.

Ma, Jianzhong, Christopher I. Amos, & E. Warwick Daw. (2007). Ascertainment correction for Markov chain Monte Carlo segregation and linkage analysis of a quantitative trait. Genetic Epidemiology. 31(6). 594–604. 11 indexed citations

Daw, E. Warwick, Grazyna Czernuszewicz, Raffaella Lombardi, et al.. (2007). Genome-wide mapping of modifier chromosomal loci for human hypertrophic cardiomyopathy. Human Molecular Genetics. 16(20). 2463–2471. 59 indexed citations

10.

Daw, E. Warwick & Robert Yu. (2007). The feasibility of oligogenic combined segregation and linkage analysis in CEPH pedigrees. BMC Proceedings. 1(S1). S108–S108. 2 indexed citations

11.

Daw, E. Warwick, Betty Doan, & Robert C. Elston. (2005). Linkage mapping methods applied to the COGA data set: Presentation Group 4 of Genetic Analysis Workshop 14. Genetic Epidemiology. 29(S1). S29–S34. 2 indexed citations

12.

Daw, E. Warwick, Xiaoming Liu, & Chih‐Chieh Wu. (2003). Age-of-onset of hypertension vs. a single measurement of systolic blood pressure in a combined linkage and segregation analysis. BMC Genetics. 4(Suppl 1). S80–S80. 3 indexed citations

13.

Daw, E. Warwick, et al.. (2001). A bootstrapped commingling analysis of platelet monoamine oxidase activity levels corrected for cigarette smoking. Psychiatric Genetics. 11(4). 177–185. 2 indexed citations

14.

Daw, E. Warwick, Elizabeth A. Thompson, & Ellen M. Wijsman. (2000). Bias in multipoint linkage analysis arising from map misspecification. Genetic Epidemiology. 19(4). 366–380. 68 indexed citations

15.

Daw, E. Warwick, Haydeh Payami, Ellen Nemens, et al.. (2000). The Number of Trait Loci in Late-Onset Alzheimer Disease. The American Journal of Human Genetics. 66(1). 196–204. 213 indexed citations

16.

Daw, E. Warwick, Simon Heath, & Ellen M. Wijsman. (1999). Multipoint Oligogenic Analysis of Age-at-Onset Data with Applications to Alzheimer Disease Pedigrees. The American Journal of Human Genetics. 64(3). 839–851. 76 indexed citations

17.

Bouchard, Claude, E. Warwick Daw, Treva Rice, et al.. (1998). Familial resemblance for ??VO2max in the sedentary state: the HERITAGE family study. Medicine & Science in Sports & Exercise. 30(2). 252–258. 390 indexed citations

18.

Wilmore, Jack H., Philip R. Stanforth, Kenneth R. Turley, et al.. (1998). Reproducibility of cardiovascular, respiratory, and metabolic responses to submaximal exercise: The HERITAGE Family Study. Medicine & Science in Sports & Exercise. 30(2). 259–265. 46 indexed citations

19.

Daw, E. Warwick, Michael A. Province, Jean‐Pierre Després, et al.. (1997). Reproducibility of the HERITAGE Family Study intervention protocol: Drift over time. Annals of Epidemiology. 7(7). 452–462. 7 indexed citations

20.

Rice, John P., et al.. (1995). TDT with covariates and genomic screens with mod scores: Their behavior on simulated data. Genetic Epidemiology. 12(6). 659–664. 26 indexed citations

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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