Ian N.M. Day

24.7k total citations · 2 hit papers
162 papers, 7.5k citations indexed

About

Ian N.M. Day is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Ian N.M. Day has authored 162 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 64 papers in Genetics and 26 papers in Surgery. Recurrent topics in Ian N.M. Day's work include Genetic Associations and Epidemiology (31 papers), Lipoproteins and Cardiovascular Health (18 papers) and Genomics and Rare Diseases (16 papers). Ian N.M. Day is often cited by papers focused on Genetic Associations and Epidemiology (31 papers), Lipoproteins and Cardiovascular Health (18 papers) and Genomics and Rare Diseases (16 papers). Ian N.M. Day collaborates with scholars based in United Kingdom, United States and Saudi Arabia. Ian N.M. Day's co-authors include Tom R. Gaunt, Steve E. Humphries, Hashem A. Shihab, D.N. Cooper, Julian Gough, George Davey Smith, Debbie A. Lawlor, Sandra D. O’Dell, Santiago Rodrı́guez and Shah Ebrahim and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Ian N.M. Day

158 papers receiving 7.3k 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.

Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models

2012 899 citations Hashem A. Shihab, Ian N.M. Day et al. profile →
An integrative approach to predicting the functional effects of non-coding and coding sequence variation

2015 426 citations Hashem A. Shihab, Ian N.M. Day et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian N.M. Day United Kingdom	44	2.9k	2.4k	989	790	764	162	7.5k
Timothy J. Aitman United Kingdom	44	3.2k 1.1×	2.6k 1.1×	850 0.9×	783 1.0×	839 1.1×	140	7.1k
Cecilia M. Lindgren United Kingdom	49	3.9k 1.3×	3.1k 1.3×	1.3k 1.3×	844 1.1×	1.5k 1.9×	159	8.9k
Joseph D. Terwilliger United States	51	3.7k 1.3×	5.5k 2.3×	841 0.9×	1.1k 1.3×	826 1.1×	114	10.7k
Howard J. Jacob United States	50	4.3k 1.4×	2.5k 1.0×	671 0.7×	1.1k 1.4×	1.3k 1.6×	178	8.8k
Andrew D. Johnson United States	39	2.8k 1.0×	1.9k 0.8×	406 0.4×	430 0.5×	645 0.8×	127	6.6k
Andrew D. Paterson Canada	59	5.2k 1.8×	3.9k 1.7×	1.1k 1.1×	987 1.2×	851 1.1×	329	12.9k
Thomas D. Dyer United States	43	2.3k 0.8×	2.4k 1.0×	607 0.6×	691 0.9×	802 1.0×	186	6.7k
Cristen J. Willer United States	31	2.9k 1.0×	4.3k 1.8×	727 0.7×	565 0.7×	687 0.9×	82	9.0k
Chris Wallace United Kingdom	35	2.3k 0.8×	3.1k 1.3×	1.0k 1.0×	702 0.9×	577 0.8×	107	7.0k
Lyn R. Griffiths Australia	50	3.0k 1.0×	1.3k 0.5×	812 0.8×	356 0.5×	889 1.2×	399	8.7k

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

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20 of 20 papers shown

Day, Ian N.M., et al.. (2023). Microarrays and Microplates. 1 indexed citations

Day, Ian N.M., et al.. (2018). Aortic aneurysms: A brief overview and dental implications. International journal of anatomical variations. 11(4).

Erzurumluoglu, A. Mesut, Santiago Rodrı́guez, Hashem A. Shihab, et al.. (2015). Identifying Highly Penetrant Disease Causal Mutations Using Next Generation Sequencing: Guide to Whole Process. BioMed Research International. 2015. 1–16. 7 indexed citations

Seoane, José A., Colin Campbell, Ian N.M. Day, Juan P. Casas, & Tom R. Gaunt. (2014). Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery. PLoS Computational Biology. 10(10). e1003876–e1003876. 24 indexed citations

Guthrie, Philip A. I., M.R. Abdollahi, Tom R. Gaunt, et al.. (2014). Haptoglobin Duplicon, Hemoglobin, and Vitamin C: Analyses in the British Women’s Heart and Health Study and Caerphilly Prospective Study. Disease Markers. 2014. 1–5. 4 indexed citations

Seoane, José A., Ian N.M. Day, Colin Campbell, Juan P. Casas, & Tom R. Gaunt. (2014). Using a Random Forest proximity measure for variable importance stratification in genotypic data. UCL Discovery (University College London). 1049–1060. 1 indexed citations

Piper, Brian J., Amy E. Taylor, Jonatan R. Ruiz, et al.. (2013). Non-replication of an association of Apolipoprotein E2 with sinistrality. Laterality Asymmetries of Body Brain and Cognition. 18(2). 251–261. 10 indexed citations

Waters, Ryan, Gordon Murray, Graham M. Teasdale, et al.. (2013). Cytokine Gene Polymorphisms and Outcome after Traumatic Brain Injury. Journal of Neurotrauma. 30(20). 1710–1716. 41 indexed citations

Alfred, Tamuno, Yoav Ben‐Shlomo, Rachel Cooper, et al.. (2012). A Multi-Cohort Study of Polymorphisms in the GH/IGF Axis and Physical Capability: The HALCyon Programme. PLoS ONE. 7(1). e29883–e29883. 9 indexed citations

10.

Alsaadi, Muslim M., Tom R. Gaunt, C. R. Boustred, et al.. (2012). From a Single Whole Exome Read to Notions of Clinical Screening: Primary Ciliary Dyskinesia and RSPH9 p.Lys268del in the Arabian Peninsula. Annals of Human Genetics. 76(3). 211–220. 16 indexed citations

11.

Rodrı́guez, Santiago, Guðný Eiríksdóttir, Tom R. Gaunt, et al.. (2010). IGF2BP1, IGF2BP2 and IGF2BP3 genotype, haplotype and genetic model studies in metabolic syndrome traits and diabetes. Growth Hormone & IGF Research. 20(4). 310–318. 36 indexed citations

12.

Christensen, Mikkel, Debbie A. Lawlor, Tom R. Gaunt, et al.. (2006). Genotype of galectin 2 (LGALS2) is associated with insulin-glucose profile in the British Women’s Heart and Health Study. Diabetologia. 49(4). 673–677. 11 indexed citations

13.

Fawcett, Katherine A., Nicholas J. Wareham, Jian’an Luan, et al.. (2006). PARL Leu262Val is not associated with fasting insulin levels in UK populations. Diabetologia. 49(11). 2649–2652. 11 indexed citations

14.

Timpson, Nicholas J., Mikkel Christensen, Debbie A. Lawlor, et al.. (2005). TAS2R38 (phenylthiocarbamide) haplotypes, coronary heart disease traits, and eating behavior in the British Women’s Heart and Health Study. American Journal of Clinical Nutrition. 81(5). 1005–1011. 81 indexed citations

15.

Smith, George Davey, Debbie A. Lawlor, Roger Harbord, et al.. (2005). Association of C-Reactive Protein With Blood Pressure and Hypertension. Arteriosclerosis Thrombosis and Vascular Biology. 25(5). 1051–1056. 169 indexed citations

16.

Day, Ian N.M., et al.. (2003). Microarrays & microplates : applications in biomedical sciences. 5 indexed citations

17.

Zhang, Shaoli, et al.. (2003). Influences of matrix metalloproteinase-3 gene variation on extent of coronary atherosclerosis and risk of myocardial infarction. Journal of the American College of Cardiology. 41(12). 2130–2137. 117 indexed citations

18.

O’Dell, Sandra D., Tom R. Gaunt, Xiaohe Chen, et al.. (2000). Microplate-array diagonal-gel electrophoresis (MADGE) systems for high-throughput electrophoresis. 5(1). 12–18. 2 indexed citations

19.

Quinn, Gregory B., Iain Reeves, & Ian N.M. Day. (1994). Mapping of antigenic sites in human neuron-specific enolase by expression subcloning. Clinical Chemistry. 40(5). 790–795. 1 indexed citations

20.

Day, Ian N.M. & Henri Savall. (1983). Work and People: An Economic Evaluation of Job-Enrichment. British Journal of Sociology. 34(1). 141–141. 10 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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