Nick Day

1.4k total citations
28 papers, 1.0k citations indexed

About

Nick Day is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Nick Day has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Genetics. Recurrent topics in Nick Day's work include Phytoestrogen effects and research (5 papers), Esophageal Cancer Research and Treatment (4 papers) and Estrogen and related hormone effects (4 papers). Nick Day is often cited by papers focused on Phytoestrogen effects and research (5 papers), Esophageal Cancer Research and Treatment (4 papers) and Estrogen and related hormone effects (4 papers). Nick Day collaborates with scholars based in United Kingdom, France and Australia. Nick Day's co-authors include Sheila Bingham, Kay‐Tee Khaw, Ailsa Welch, Robert Luben, Yen-Ling Low, Angela A. Mulligan, Philip B. Grace, Nicholas J. Wareham, James I. Taylor and Jean Faivre and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Journal of Nutrition.

In The Last Decade

Nick Day

26 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Day United Kingdom 14 350 247 225 210 210 28 1.0k
Yilong Li China 21 270 0.8× 195 0.8× 552 2.5× 207 1.0× 169 0.8× 59 1.7k
Kevin West United Kingdom 19 178 0.5× 51 0.2× 484 2.2× 370 1.8× 195 0.9× 41 1.6k
Xuzhen Qin China 19 163 0.5× 63 0.3× 534 2.4× 98 0.5× 39 0.2× 53 1.1k
Teguh Aryandono Indonesia 19 87 0.2× 106 0.4× 355 1.6× 445 2.1× 216 1.0× 102 1.1k
Eileen B. King United States 20 763 2.2× 90 0.4× 201 0.9× 439 2.1× 344 1.6× 43 1.5k
Paul‐Georg Germann Germany 16 71 0.2× 58 0.2× 529 2.4× 135 0.6× 47 0.2× 53 1.7k
Yuting Tan China 17 66 0.2× 113 0.5× 422 1.9× 216 1.0× 101 0.5× 84 1.1k
Sih‐Han Liao Taiwan 21 94 0.3× 39 0.2× 498 2.2× 123 0.6× 268 1.3× 46 1.2k
Sun‐Mi Park South Korea 22 78 0.2× 46 0.2× 738 3.3× 319 1.5× 73 0.3× 89 1.4k
Ya‐Fang Huang Taiwan 20 102 0.3× 44 0.2× 532 2.4× 307 1.5× 88 0.4× 31 1.2k

Countries citing papers authored by Nick Day

Since Specialization
Citations

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

Fields of papers citing papers by Nick Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Day

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Day. A scholar is included among the top collaborators of Nick 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 Nick Day. Nick 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.
Day, Nick, et al.. (2012). CrystalEye: automated aggregation, semantification and dissemination of the world's open crystallographic data. Journal of Applied Crystallography. 45(2). 316–323. 9 indexed citations
2.
Day, Nick, Peter Murray‐Rust, & Simon Tyrrell. (2011). CIFXML: a schema and toolkit for managing CIFs in XML. Journal of Applied Crystallography. 44(3). 628–634. 4 indexed citations
3.
Day, Nick, et al.. (2009). Towards Lensfield - Data Management, Processing and Semantic Publication for Vernacular e-Science. Apollo (University of Cambridge). 15. 352–357. 1 indexed citations
4.
Murray‐Rust, Peter, et al.. (2008). SPECTRa: The Deposition and Validation of Primary Chemistry Research Data in Digital Repositories. Journal of Chemical Information and Modeling. 48(8). 1571–1581. 41 indexed citations
5.
Day, Nick & Mitchell H. Gail. (2007). Norman Breslow, an architect of modern biostatistics. Lifetime Data Analysis. 13(4). 435–438.
6.
Low, Yen-Ling, James I. Taylor, Philip B. Grace, et al.. (2006). Phytoestrogen Exposure, Polymorphisms in COMT, CYP19, ESR1, and SHBG Genes, and Their Associations With Prostate Cancer Risk. Nutrition and Cancer. 56(1). 31–39. 49 indexed citations
7.
Claridge, Martin, Simon Hobbs, Clive R.G. Quick, et al.. (2005). Nonsteroidal Antiinflammatory Drugs are Associated with Increased Aortic Stiffness. SHILAP Revista de lepidopterología.
8.
Low, Yen-Ling, James I. Taylor, Philip B. Grace, et al.. (2005). Polymorphisms in the CYP19 Gene May Affect the Positive Correlations between Serum and Urine Phytoestrogen Metabolites and Plasma Androgen Concentrations in Men. Journal of Nutrition. 135(11). 2680–2686. 43 indexed citations
9.
Claridge, Martin, Simon Hobbs, Clive R.G. Quick, et al.. (2005). Nonsteroidal antiinflammatory drugs are associated with increased aortic stiffness. Vascular Health and Risk Management. 1(2). 149–153. 9 indexed citations
10.
Coles, Simon J., Nick Day, Peter Murray‐Rust, Henry S. Rzepa, & Yong Zhang. (2005). Enhancement of the chemical semantic web through the use of InChI identifiers. Organic & Biomolecular Chemistry. 3(10). 1832–1832. 66 indexed citations
11.
Benusiglio, Patrick R., Fabienne Lesueur, Craig Luccarini, et al.. (2005). Common ERBB2 polymorphisms and risk of breast cancer in a white British population: a case–control study. Breast Cancer Research. 7(2). R204–9. 49 indexed citations
12.
Low, Yen-Ling, James I. Taylor, Philip B. Grace, et al.. (2005). Phytoestrogen Exposure Correlation with Plasma Estradiol in Postmenopausal Women in European Prospective Investigation of Cancer and Nutrition-Norfolk May Involve Diet-Gene Interactions. Cancer Epidemiology Biomarkers & Prevention. 14(1). 213–220. 60 indexed citations
13.
14.
Loke, H., Delia Bethell, Cao Xuan Thanh Phuong, et al.. (2002). Susceptibility to dengue hemorrhagic fever in vietnam: evidence of an association with variation in the vitamin d receptor and Fc gamma receptor IIa genes.. American Journal of Tropical Medicine and Hygiene. 67(1). 102–106. 154 indexed citations
15.
Day, Nick & Ruth Warren. (2000). Mammographic screening and mammographic patterns. Breast Cancer Research. 2(4). 247–51. 17 indexed citations
16.
Launoy, Guy, et al.. (1998). Diet and squamous-cell cancer of the oesophagus: A French multicentre case-control study. International Journal of Cancer. 76(1). 7–12. 105 indexed citations
17.
Launoy, Guy, Chantal Milan, Nick Day, et al.. (1997). Oesophageal cancer in France: Potential importance of hot alcoholic drinks. International Journal of Cancer. 71(6). 917–923. 53 indexed citations
18.
Launoy, Guy, Chantal Milan, Nick Day, et al.. (1997). Oesophageal cancer in France: Potential importance of hot alcoholic drinks. International Journal of Cancer. 71(6). 917–923. 1 indexed citations
19.
Ness, Andy, Kay‐Tee Khaw, Sheila Bingham, & Nick Day. (1996). Vitamin C status and undiagnosed angina. Journal of Cardiovascular Risk. 3(4). 373???378–373???378. 4 indexed citations
20.
Ness, Andy, Kay‐Tee Khaw, Sheila Bingham, & Nick Day. (1996). Vitamin C status and blood pressure. Journal of Hypertension. 14(4). 503???508–503???508. 50 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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