E Blair

1.6k total citations
9 papers, 419 citations indexed

About

E Blair is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, E Blair has authored 9 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in E Blair's work include Cardiomyopathy and Myosin Studies (4 papers), Survey Methodology and Nonresponse (2 papers) and Genetic factors in colorectal cancer (2 papers). E Blair is often cited by papers focused on Cardiomyopathy and Myosin Studies (4 papers), Survey Methodology and Nonresponse (2 papers) and Genetic factors in colorectal cancer (2 papers). E Blair collaborates with scholars based in United Kingdom, United States and Denmark. E Blair's co-authors include Seymour Sudman, Hugh Watkins, Kate Thomson, Sarah Wordsworth, Jenny C. Taylor, Rosa Legood, José Leal, A Seller, Sylvie Manouvrier and Rhonda E. Schnur and has published in prestigious journals such as Circulation, European Heart Journal and Journal of the Academy of Marketing Science.

In The Last Decade

E Blair

9 papers receiving 392 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
E Blair United Kingdom	5	97	85	81	72	60	9	419
John G. Knight New Zealand	13	6 0.1×	62 0.7×	80 1.0×	66 0.9×	24 0.4×	18	441
Sandra L. Holmes United States	8	20 0.2×	30 0.4×	47 0.6×	31 0.4×	85 1.4×	18	333
Hong-Jun Zhong China	5	12 0.1×	162 1.9×	71 0.9×	68 0.9×	202 3.4×	6	416
Ceri Durham United States	3	6 0.1×	76 0.9×	24 0.3×	36 0.5×	17 0.3×	3	246
Allison Morgan United States	10	15 0.2×	18 0.2×	109 1.3×	12 0.2×	60 1.0×	33	394
Colin Mitchell United Kingdom	12	6 0.1×	129 1.5×	53 0.7×	52 0.7×	21 0.3×	29	492
Julie Holland United States	5	5 0.1×	54 0.6×	18 0.2×	53 0.7×	165 2.8×	6	382
Michael Riordan United States	7	20 0.2×	47 0.6×	21 0.3×	24 0.3×	60 1.0×	22	409
Emily C. Tanner United States	10	6 0.1×	82 1.0×	81 1.0×	2 0.0×	42 0.7×	22	295
Vicki Park United States	17	43 0.4×	21 0.2×	82 1.0×	35 0.5×	15 0.3×	32	1.2k

Countries citing papers authored by E Blair

Since Specialization

Citations

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

Fields of papers citing papers by E Blair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Blair

This figure shows the co-authorship network connecting the top 25 collaborators of E Blair. A scholar is included among the top collaborators of E Blair 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 Blair. E Blair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Taylor, John, E Blair, Sarah Wordsworth, et al.. (2019). Implementation of a genomic medicine multi-disciplinary team approach for rare disease in the clinical setting: a prospective exome sequencing case series. Genome Medicine. 11(1). 46–46. 21 indexed citations

2.

Wordsworth, Sarah, José Leal, E Blair, et al.. (2010). DNA testing for hypertrophic cardiomyopathy: a cost-effectiveness model. European Heart Journal. 31(8). 926–935. 105 indexed citations

3.

Vega, Horacio Astudillo‐de la, Alison Trainer, Miriam Gordillo, et al.. (2009). Phenotypic variability in 49 cases of ESCO2 mutations, including novel missense and codon deletion in the acetyltransferase domain, correlates with ESCO2 expression and establishes the clinical criteria for Roberts syndrome. Journal of Medical Genetics. 47(1). 30–37. 61 indexed citations

4.

Carballo, Sebastian, E Blair, & Hugh Watkins. (2005). Novel mutations in cardiac MYBPC3 causing early onset malignant hypertrophic cardiomyopathy. Circulation. 112. 1 indexed citations

5.

Blair, E. (2005). From the Editor: Nonresponse and Generalizability in Academic Research. Journal of the Academy of Marketing Science. 34(1). 4–7. 172 indexed citations

6.

Blair, E, Charles Redwood, Sandra Marisa Oliveira, et al.. (2001). Hypertrophic cardiomyopathy mutations in the gamma 2 subunit of AMP-activated kinase suggest a central role of energy compromise in disease pathogenesis. Circulation. 104. 21–21. 1 indexed citations

7.

Blair, E, Ingegerd Östman‐Smith, & Hugh Watkins. (2000). Double mutations in CIS can confound genotype-phenotype correlations in hypertrophic cardiomyopathy. Circulation. 102(18). 178–178. 1 indexed citations

8.

Sudman, Seymour & E Blair. (1999). Sampling in the Twenty-First Century. Journal of the Academy of Marketing Science. 27(2). 269–277. 56 indexed citations

9.

Blair, E, et al.. (1969). Prevention of early failure in prosthetic arterial grafts: evaluation of dextran-70.. PubMed. 66(3). 535–9. 1 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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