N. E. Day

12.2k total citations · 6 hit papers
29 papers, 10.5k citations indexed

About

N. E. Day is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, N. E. Day has authored 29 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in N. E. Day's work include BRCA gene mutations in cancer (3 papers), Cancer Risks and Factors (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). N. E. Day is often cited by papers focused on BRCA gene mutations in cancer (3 papers), Cancer Risks and Factors (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). N. E. Day collaborates with scholars based in United Kingdom, Australia and France. N. E. Day's co-authors include N. E. Breslow, Norman E. Breslow, Paul Schmitz, David Machín, Paul D.P. Pharoah, Carlos Caldas, Paul D.P. Pharoah, Douglas F. Easton, Antonis C. Antoniou and B. Ponder and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Biometrics and Medicine & Science in Sports & Exercise.

In The Last Decade

N. E. Day

29 papers receiving 10.0k citations

Hit Papers

Statistical methods in cancer research. Volume I - The an... 1969 2026 1988 2007 1980 1980 1987 1981 1990 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. E. Day United Kingdom 18 2.1k 1.4k 1.3k 1.3k 1.2k 29 10.5k
David P. Byar United States 43 2.5k 1.2× 825 0.6× 2.0k 1.5× 856 0.7× 2.5k 2.0× 98 10.8k
M. C. Pike United States 23 2.9k 1.4× 1.2k 0.9× 973 0.7× 1.0k 0.8× 2.2k 1.8× 33 10.0k
Klim McPherson United Kingdom 69 2.1k 1.0× 4.0k 2.9× 1.6k 1.2× 2.1k 1.6× 1.3k 1.0× 238 16.2k
Jacques Bénichou France 52 1.6k 0.8× 929 0.7× 1.1k 0.8× 1.2k 0.9× 2.2k 1.8× 231 10.2k
Olli S. Miettinen United States 51 1.5k 0.7× 1.4k 1.0× 864 0.7× 1.7k 1.3× 5.3k 4.3× 184 14.5k
Sander Greenland United States 50 1.4k 0.6× 2.5k 1.8× 651 0.5× 1.8k 1.4× 958 0.8× 88 14.6k
M. Schemper Austria 43 1.7k 0.8× 500 0.4× 558 0.4× 1.9k 1.5× 2.3k 1.9× 186 11.0k
Vernon T. Farewell United Kingdom 72 1.4k 0.7× 1.8k 1.3× 763 0.6× 1.4k 1.1× 1.5k 1.3× 287 18.5k
Timothy L. Lash United States 60 3.6k 1.7× 1.6k 1.2× 1.6k 1.2× 1.9k 1.5× 1.4k 1.2× 348 15.0k
Hans C. van Houwelingen Netherlands 65 2.4k 1.2× 1.2k 0.8× 1.1k 0.8× 1.8k 1.4× 2.4k 1.9× 304 18.4k

Countries citing papers authored by N. E. Day

Since Specialization
Citations

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

Fields of papers citing papers by N. E. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. E. Day

This figure shows the co-authorship network connecting the top 25 collaborators of N. E. Day. A scholar is included among the top collaborators of N. E. 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 N. E. Day. N. E. 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.
Antoniou, Antonis C., Paul D.P. Pharoah, Greg McMullan, et al.. (2002). A comprehensive model for familial breast cancer incorporating BRCA1, BRCA2 and other genes. British Journal of Cancer. 86(1). 76–83. 327 indexed citations
2.
Skinner, John A., et al.. (2002). Exposure to power frequency electric fields and the risk of childhood cancer in the UK. British Journal of Cancer. 87(11). 1257–1266. 23 indexed citations
3.
Day, N. E., et al.. (2002). Some methodological issues in nutritional epidemiology.. PubMed. 156. 5–10. 9 indexed citations
4.
Pharoah, Paul D.P., Julian Lipscombe, Karen Redman, et al.. (2000). Familial predisposition to breast cancer in a British population. European Journal of Cancer. 36(6). 773–779. 41 indexed citations
5.
Pharoah, Paul D.P., N. E. Day, & Carlos Caldas. (1999). Somatic mutations in the p53 gene and prognosis in breast cancer: a meta-analysis. British Journal of Cancer. 80(12). 1968–1973. 248 indexed citations
6.
Wareham, Nicholas J., et al.. (1999). COMPARISON OF THE EPIC PHYSICAL ACTIVITY QUESTIONNAIRE WITH REPEATED ASSESSMENTS OF ENERGY EXPENDITURE AND FITNESS. Medicine & Science in Sports & Exercise. 31(Supplement). S232–S232. 3 indexed citations
7.
Dunning, Alison M., Catherine S. Healey, PD Pharoah, et al.. (1998). No association between a polymorphism in the steroid metabolism gene CYP17 and risk of breast cancer. British Journal of Cancer. 77(11). 2045–2047. 96 indexed citations
8.
Badrinath, Padmanabhan, N. E. Day, & Diane Stockton. (1997). Population-based survival trends for leukaemia in East Anglia, United Kingdom. Journal of Public Health. 19(4). 403–407. 1 indexed citations
9.
Breslow, Norman E. & N. E. Day. (1987). The design and analysis of cohort studies. 1139 indexed citations breakdown →
10.
Day, N. E., Cornelia J. Baines, J Chamberlain, et al.. (1986). UICC project on screening for cancer: Report of the workshop on screening for breast cancer. International Journal of Cancer. 38(3). 303–308. 54 indexed citations
11.
Day, N. E., Ross L. Prentice, & Alice S. Whittemore. (1984). Environmental Epidemiology: Risk Assessment.. Biometrics. 40(2). 571–571. 7 indexed citations
12.
Oakes, David, N. E. Breslow, & N. E. Day. (1982). Statistical Methods in Cancer Research, Vol 1: The Analysis of Case- Control Studies.. Journal of the Royal Statistical Society Series A (General). 145(2). 264–264. 7 indexed citations
13.
Schmitz, Paul, N. E. Breslow, & N. E. Day. (1981). Statistical Methods in Cancer Research. Vol. 1: The Analysis of Case-Control Studies. Biometrics. 37(4). 866–866. 574 indexed citations breakdown →
14.
Breslow, Norman E. & N. E. Day. (1980). The analysis of case-control studies. 2115 indexed citations breakdown →
15.
Breslow, N. E. & N. E. Day. (1980). Statistical methods in cancer research. Volume I - The analysis of case-control studies.. PubMed. 5–338. 4406 indexed citations breakdown →
16.
Geser, A., et al.. (1978). Environmental factors in the etiology of nasopharyngeal carcinoma: report on a case-control study in Hong Kong.. PubMed. 213–29. 48 indexed citations
17.
Simons, Michael, N. E. Day, G.B. Wee, et al.. (1974). Nasopharyngeal carcinoma V: immunogenetic studies of Southeast Asian ethnic groups with high and low risk for the tumor.. PubMed. 34(5). 1192–5. 21 indexed citations
18.
Turusov, V. S., et al.. (1973). Tumors in CF-1 Mice Exposed for Six Consecutive Generations to DDT. JNCI Journal of the National Cancer Institute. 51(3). 983–997. 72 indexed citations
19.
Day, N. E.. (1969). A comparison of some sequential designs. Biometrika. 56(2). 301–311. 9 indexed citations
20.
Day, N. E.. (1969). Estimating the components of a mixture of normal distributions. Biometrika. 56(3). 463–474. 550 indexed citations breakdown →

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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