Ian N. M. Day

3.0k total citations · 1 hit paper
25 papers, 1.7k citations indexed

About

Ian N. M. Day is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ian N. M. Day has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Ian N. M. Day's work include Genetic Associations and Epidemiology (5 papers), Gene expression and cancer classification (4 papers) and Genomics and Rare Diseases (2 papers). Ian N. M. Day is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Gene expression and cancer classification (4 papers) and Genomics and Rare Diseases (2 papers). Ian N. M. Day collaborates with scholars based in United Kingdom, United States and France. Ian N. M. Day's co-authors include Tom R. Gaunt, Santiago Rodrı́guez, L J Hinks, Shu Ye, Dongfeng Gu, N.E. Morton, Baiping Zhang, Steve E. Humphries, W. M. Howell and Richard J. Jacob and has published in prestigious journals such as Nucleic Acids Research, Stroke and American Journal of Epidemiology.

In The Last Decade

Ian N. M. Day

23 papers receiving 1.7k citations

Hit Papers

Hardy-Weinberg Equilibrium Testing of Biological Ascertai... 2009 2026 2014 2020 2009 250 500 750
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.

  1. Hardy-Weinberg Equilibrium Testing of Biological Ascertainment for Mendelian Randomization Studies
    2009 881 citations Santiago Rodrı́guez, Tom R. Gaunt et al. American Journal of Epidemiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian N. M. Day United Kingdom 16 478 304 304 210 191 25 1.7k
Miguel Ángel García‐Pérez Spain 26 629 1.3× 296 1.0× 359 1.2× 192 0.9× 118 0.6× 94 2.0k
Bok‐Ghee Han South Korea 20 612 1.3× 324 1.1× 584 1.9× 145 0.7× 234 1.2× 52 1.9k
George I. Gorodeski United States 30 660 1.4× 188 0.6× 261 0.9× 166 0.8× 237 1.2× 85 2.3k
Lisa Olson United States 23 477 1.0× 419 1.4× 293 1.0× 87 0.4× 176 0.9× 46 2.3k
Matthew P. Johnson United States 26 829 1.7× 152 0.5× 444 1.5× 249 1.2× 228 1.2× 64 2.4k
Jie Song China 25 454 0.9× 353 1.2× 198 0.7× 77 0.4× 281 1.5× 77 1.8k
Maria Nilsson Sweden 26 704 1.5× 290 1.0× 448 1.5× 114 0.5× 145 0.8× 45 1.8k
Sara L. Pulit Netherlands 16 641 1.3× 211 0.7× 703 2.3× 130 0.6× 237 1.2× 28 1.9k
Kimiko Yamakawa‐Kobayashi Japan 26 588 1.2× 621 2.0× 315 1.0× 138 0.7× 117 0.6× 69 2.1k
Mingqing Xu China 28 765 1.6× 130 0.4× 290 1.0× 400 1.9× 212 1.1× 50 1.9k

Countries citing papers authored by Ian N. M. Day

Since Specialization
Citations

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

Fields of papers citing papers by Ian N. M. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian N. M. Day. 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 Ian N. M. Day. The network helps show where Ian N. M. Day may publish in the future.

Co-authorship network of co-authors of Ian N. M. Day

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

All Works

20 of 20 papers shown
1.
Seoane, José A., Ian N. M. Day, Juan P. Casas, Colin Campbell, & Tom R. Gaunt. (2014). A Random Forest proximity matrix as a new measure for gene annotation. The European Symposium on Artificial Neural Networks. 1 indexed citations
2.
Richardson, Tom G., Camelia C. Minică, Jon Heron, et al.. (2014). Evaluating the role of a galanin enhancer genotype on a range of metabolic, depressive and addictive phenotypes. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 165(8). 654–664. 5 indexed citations
3.
Shah, Tina, Delilah Zabaneh, Tom R. Gaunt, et al.. (2013). Gene-Centric Analysis Identifies Variants Associated With Interleukin-6 Levels and Shared Pathways With Other Inflammation Markers. Circulation Cardiovascular Genetics. 6(2). 163–170. 36 indexed citations
4.
Guthrie, Philip A. I., Tom R. Gaunt, Santiago Rodrı́guez, et al.. (2011). Amplification ratio control system for copy number variation genotyping. Nucleic Acids Research. 39(8). e54–e54. 8 indexed citations
5.
Rodrı́guez, Santiago, Tom R. Gaunt, & Ian N. M. Day. (2009). Hardy-Weinberg Equilibrium Testing of Biological Ascertainment for Mendelian Randomization Studies. American Journal of Epidemiology. 169(4). 505–514. 881 indexed citations breakdown →
6.
7.
Lawlor, Debbie A., Nicholas J. Timpson, Shah Ebrahim, Ian N. M. Day, & George Davey Smith. (2006). The association of oestrogen receptor α-haplotypes with cardiovascular risk factors in the British Women's Heart and Health Study. European Heart Journal. 27(13). 1597–1604. 25 indexed citations
8.
Lawlor, Debbie A., Ian N. M. Day, Tom R. Gaunt, et al.. (2006). The association of the paraoxonase (PON1) Q192R polymorphism with depression in older women: findings from the British Women's Heart and Health Study. Journal of Epidemiology & Community Health. 61(1). 85–87. 17 indexed citations
9.
Johnstone, Elaine, N BENOWITZ, Anna Cargill, et al.. (2006). Determinants of the rate of nicotine metabolism and effects on smoking behavior. Clinical Pharmacology & Therapeutics. 80(4). 319–330. 115 indexed citations
10.
Taylor, Graham R. & Ian N. M. Day. (2005). Guide to mutation detection. Wiley eBooks. 3 indexed citations
11.
Zhang, Baiping, Kåre Fugleholm, Lorna Day, et al.. (2003). Molecular pathogenesis of subarachnoid haemorrhage. The International Journal of Biochemistry & Cell Biology. 35(9). 1341–1360. 51 indexed citations
12.
Dennison, Elaine, et al.. (2002). Polymorphisms of the growth hormone gene are associated with adult bone mass and infant growth. Osteoporosis International. 13. 1 indexed citations
13.
Day, Ian N. M. & David I. Wilson. (2001). Genetics and cardiovascular risk. BMJ. 323(7326). 1409–1412. 17 indexed citations
14.
Zhang, Baiping, et al.. (2001). Polymorphisms in Matrix Metalloproteinase-1, -3, -9, and -12 Genes in Relation to Subarachnoid Hemorrhage. Stroke. 32(9). 2198–2202. 77 indexed citations
15.
Ye, Shu, Stephen T. Turner, Adrian C Bateman, et al.. (2001). Invasiveness of cutaneous malignant melanoma is influenced by matrix metalloproteinase 1 gene polymorphism.. PubMed. 61(4). 1296–8. 106 indexed citations
16.
Gu, Dongfeng, L J Hinks, N.E. Morton, & Ian N. M. Day. (2000). The use of long PCR to confirm three common alleles at the CYP2A6 locus and the relationship between genotype and smoking habit. Annals of Human Genetics. 64(5). 383–390. 102 indexed citations
17.
18.
Bolla, Manjeet K., George J. Miller, Derek M. Yellon, et al.. (1998). Analysis of the Association of A Heat Shock Protein70‐1 Gene Promoter Polymorphism With Myocardial Infarction and Coronary Risk Traits. Disease Markers. 13(4). 227–235. 20 indexed citations
19.
Austin, Melissa A., Philippa J. Talmud, Lema Haddad, et al.. (1998). Candidate-Gene Studies of the Atherogenic Lipoprotein Phenotype: A Sib-Pair Linkage Analysis of DZ Women Twins. The American Journal of Human Genetics. 62(2). 406–419. 63 indexed citations
20.
Day, Ian N. M.. (1998). Microplate-array diagonal-gel electrophoresis (MADGE) and melt-MADGE: tools for molecular-genetic epidemiology. Trends in biotechnology. 16(7). 287–290. 12 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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