Heather J. Cordell

29.3k total citations · 4 hit papers
186 papers, 10.8k citations indexed

About

Heather J. Cordell is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Heather J. Cordell has authored 186 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Genetics, 55 papers in Molecular Biology and 28 papers in Epidemiology. Recurrent topics in Heather J. Cordell's work include Genetic Associations and Epidemiology (74 papers), Genetic Mapping and Diversity in Plants and Animals (38 papers) and Genetic and phenotypic traits in livestock (23 papers). Heather J. Cordell is often cited by papers focused on Genetic Associations and Epidemiology (74 papers), Genetic Mapping and Diversity in Plants and Animals (38 papers) and Genetic and phenotypic traits in livestock (23 papers). Heather J. Cordell collaborates with scholars based in United Kingdom, United States and Australia. Heather J. Cordell's co-authors include David Clayton, John A. Todd, Sheila Palmer, Martin Farrall, Sara Brown, Simon T. Bennett, James Copeman, June Davies, Suzanne Jenkins and Kristin L. Ayers and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Heather J. Cordell

185 papers receiving 10.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A genome-wide search for human type 1 diabetes susceptibility genes

1994 964 citations June Davies, James Copeman et al. profile →
Detecting gene–gene interactions that underlie human diseases

2009 964 citations Heather J. Cordell profile →
Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans

2002 746 citations Heather J. Cordell Human Molecular Genetics profile →
HLA-B*5701 genotype is a major determinant of drug-induced liver injury due to flucloxacillin

2009 732 citations Ann K. Daly, Peter T. Donaldson et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heather J. Cordell United Kingdom	49	5.0k	3.1k	1.7k	1.5k	1.3k	186	10.8k
Michael Hummel Germany	73	2.1k 0.4×	3.6k 1.1×	4.0k 2.4×	1.9k 1.3×	1.7k 1.3×	461	18.5k
Michiaki Kubo Japan	77	4.3k 0.9×	5.1k 1.6×	2.0k 1.2×	2.1k 1.4×	2.9k 2.2×	385	18.3k
Mark Leppert United States	65	4.3k 0.9×	8.0k 2.6×	1.8k 1.1×	2.3k 1.6×	1.1k 0.9×	164	20.9k
Daniel J. Schaid United States	75	7.6k 1.5×	5.8k 1.9×	1.5k 0.9×	1.9k 1.3×	1.4k 1.1×	343	20.5k
Andrew Murphy United States	61	1.7k 0.3×	6.2k 2.0×	4.5k 2.7×	1.9k 1.3×	1.8k 1.4×	143	16.8k
Dan L. Nicolae United States	48	5.8k 1.2×	4.9k 1.6×	3.8k 2.3×	1.7k 1.1×	1.8k 1.4×	115	13.2k
Thomas J. Hudson Canada	70	5.8k 1.2×	10.0k 3.2×	2.2k 1.4×	2.3k 1.5×	2.5k 2.0×	227	20.1k
Daniël W. Hommes Netherlands	58	5.5k 1.1×	2.8k 0.9×	2.9k 1.7×	2.9k 2.0×	3.7k 2.9×	217	12.6k
Riitta Lahesmaa Finland	51	1.3k 0.3×	5.1k 1.6×	3.2k 1.9×	907 0.6×	719 0.6×	210	10.1k
F. Susan Wong United Kingdom	55	4.6k 0.9×	3.0k 1.0×	4.8k 2.9×	2.9k 2.0×	900 0.7×	220	11.0k

Countries citing papers authored by Heather J. Cordell

Since Specialization

Citations

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

Fields of papers citing papers by Heather J. Cordell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather J. Cordell. 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 Heather J. Cordell. The network helps show where Heather J. Cordell may publish in the future.

Co-authorship network of co-authors of Heather J. Cordell

This figure shows the co-authorship network connecting the top 25 collaborators of Heather J. Cordell. A scholar is included among the top collaborators of Heather J. Cordell 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 Heather J. Cordell. Heather J. Cordell 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

Apriyanto, Ardha, et al.. (2023). Genetic variants associated with leaf spot disease resistance in oil palm ( Elaeis guineensis ): A genome‐wide association study. Plant Pathology. 72(9). 1626–1636. 5 indexed citations

Darlay, Rebecca, Ruchi Shukla, Misti McCain, et al.. (2021). A PDCD1 Role in the Genetic Predisposition to NAFLD-HCC?. Cancers. 13(6). 1412–1412. 27 indexed citations

McGurk, Kathryn A., Simon G. Williams, Hui Guo, et al.. (2021). Heritability and family-based GWAS analyses of the N -acyl ethanolamine and ceramide plasma lipidome. Human Molecular Genetics. 30(6). 500–513. 15 indexed citations

Cordell, Heather J., Carmen Martín-Ruiz, Louise Robinson, et al.. (2021). No Evidence That Genetic Variation at the Klotho Locus Is Associated With Longevity in Caucasians from the Newcastle 85+ Study and the UK Biobank. The Journals of Gerontology Series A. 77(3). 457–461. 2 indexed citations

Darlay, Rebecca, Heather J. Cordell, Misti McCain, et al.. (2020). O7 Exploring genetic variation of PDCD1, which encodes T-cell receptor PD-1, in patients with non-alcoholic fatty liver disease (NAFLD) and hepatocellular carcinoma (HCC). Abstracts. A4.1–A4. 1 indexed citations

Córdova‐Palomera, Aldo, Catherine Tcheandjieu, Jason Fries, et al.. (2020). Cardiac Imaging of Aortic Valve Area From 34 287 UK Biobank Participants Reveals Novel Genetic Associations and Shared Genetic Comorbidity With Multiple Disease Phenotypes. Circulation Genomic and Precision Medicine. 13(6). e003014–e003014. 10 indexed citations

Thelwall, Peter E., Katrina Wood, Gavin J. Clowry, et al.. (2019). Mouse genetics reveals Barttin as a genetic modifier of Joubert syndrome. Proceedings of the National Academy of Sciences. 117(2). 1113–1118. 20 indexed citations

Lane, Laura, Kathleen R. Allinson, Katy Campbell, et al.. (2018). Analysis of BAFF gene polymorphisms in UK Graves’ disease patients. Clinical Endocrinology. 90(1). 170–174. 19 indexed citations

Darlow, John M., Rebecca Darlay, Mark G. Dobson, et al.. (2017). Genome-wide linkage and association study implicates the 10q26 region as a major genetic contributor to primary nonsyndromic vesicoureteric reflux. Scientific Reports. 7(1). 14595–14595. 11 indexed citations

10.

Howey, Richard, et al.. (2016). Examination of previously identified associations within the Genetic Analysis Workshop 19 data. BMC Proceedings. 10(S7). 97–101. 1 indexed citations

11.

Wang, Xin, Nuomin Li, Nian Xiong, et al.. (2016). Genetic Variants of Microtubule Actin Cross-linking Factor 1 (MACF1) Confer Risk for Parkinson’s Disease. Molecular Neurobiology. 54(4). 2878–2888. 23 indexed citations

12.

Howey, Richard & Heather J. Cordell. (2012). PREMIM and EMIM: tools for estimation of maternal, imprinting and interaction effects using multinomial modelling. BMC Bioinformatics. 13(1). 149–149. 37 indexed citations

13.

Keavney, Bernard, Chrysovalanto Mamasoula, Darroch Hall, et al.. (2011). Abstract 17706: A Common Variant in the PTPN11 Gene Contributes to the Risk of Tetralogy of Fallot. Circulation. 124(suppl_21). 1 indexed citations

14.

Jamieson, Sarra E., et al.. (2011). Heritability of quantitative traits associated with type 2 diabetes in an extended family from the United Arab Emirates. 19(2). 59–62. 2 indexed citations

15.

Ermini, Luca, Timothy H.J. Goodship, Lisa Strain, et al.. (2011). Common genetic variants in complement genes other than CFH, CD46 and the CFHRs are not associated with aHUS. Molecular Immunology. 49(4). 640–648. 29 indexed citations

16.

Brown, S, Gráinne M. O’Regan, Linda Campbell, et al.. (2010). Replication of eczema susceptibility loci identified from a genome-wide association study. British Journal of Dermatology. 162(4). 925–926. 1 indexed citations

17.

Croiseau, Pascal & Heather J. Cordell. (2009). Analysis of North American Rheumatoid Arthritis Consortium data using a penalized logistic regression approach. BMC Proceedings. 3(S7). S61–S61. 12 indexed citations

18.

Fichna, Marta, David McDonald, Magdalena Żurawek, et al.. (2008). The tryptophan 620 allele of the lymphoid tyrosine phosphatase (PTPN22) gene predisposes to autoimmune Addison's disease. Clinical Endocrinology. 70(3). 358–362. 36 indexed citations

19.

Davies, June, James Copeman, Heather J. Cordell, et al.. (1995). LINKAGE MAPPING OF TYPE-1 DIABETES. The American Journal of Human Genetics. 57. 1–1. 72 indexed citations

20.

Ghosh, Soumitra, Sheila Palmer, Nanda R. Rodrigues, et al.. (1993). Polygenic control of autoimmune diabetes in nonobese diabetic mice. Nature Genetics. 4(4). 404–409. 251 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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