N. E. Day

1.4k total citations
19 papers, 853 citations indexed

About

N. E. Day is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, N. E. Day has authored 19 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in N. E. Day's work include Global Cancer Incidence and Screening (4 papers), Breast Cancer Treatment Studies (4 papers) and Digital Radiography and Breast Imaging (3 papers). N. E. Day is often cited by papers focused on Global Cancer Incidence and Screening (4 papers), Breast Cancer Treatment Studies (4 papers) and Digital Radiography and Breast Imaging (3 papers). N. E. Day collaborates with scholars based in United Kingdom, Norway and Singapore. N. E. Day's co-authors include Ruth Warren, H.-P. Lee, K. Shanmugaratnam, Charlotte Atkinson, Sheila Bingham, Jenny McCann, Lewis B. Holmes, Ahmed Z. Gad, Michael Adler and G Fagerberg and has published in prestigious journals such as Biometrics, British Journal of Cancer and Journal of Epidemiology & Community Health.

In The Last Decade

N. E. Day

19 papers receiving 802 citations

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 14 401 206 176 135 133 19 853
S W Duffy United Kingdom 19 673 1.7× 419 2.0× 141 0.8× 152 1.1× 251 1.9× 30 1.1k
Á. Izquierdo Spain 18 652 1.6× 267 1.3× 222 1.3× 413 3.1× 187 1.4× 81 1.4k
Stephen G. Ruby United States 14 642 1.6× 576 2.8× 140 0.8× 125 0.9× 311 2.3× 31 1.4k
Antonella Ferro Italy 18 426 1.1× 239 1.2× 233 1.3× 107 0.8× 74 0.6× 56 1.1k
Larry Baker United States 10 481 1.2× 159 0.8× 194 1.1× 82 0.6× 181 1.4× 24 886
Fabrizio Stracci Italy 19 580 1.4× 156 0.8× 137 0.8× 85 0.6× 81 0.6× 67 1.1k
Félix Leborgne Uruguay 16 323 0.8× 250 1.2× 367 2.1× 45 0.3× 358 2.7× 39 1.2k
N E Day France 13 871 2.2× 128 0.6× 101 0.6× 134 1.0× 147 1.1× 15 1.4k
Ondřej Májek Czechia 19 874 2.2× 189 0.9× 318 1.8× 147 1.1× 318 2.4× 71 1.6k
Tristan Snowsill United Kingdom 16 288 0.7× 214 1.0× 128 0.7× 85 0.6× 317 2.4× 45 806

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

19 of 19 papers shown
1.
Sala, Evis, R WARREN, Jenny McCann, et al.. (2001). Mammographic Parenchymal Patterns and Breast Cancer Natural History—A Case-Control Study. Acta Oncologica. 40(4). 461–465. 13 indexed citations
2.
Warren, Ruth, et al.. (2001). Screening with breast ultrasound in a population at moderate risk due to family history. Journal of Medical Screening. 8(2). 106–109. 15 indexed citations
3.
Hubbard, Catherine S., et al.. (2000). The Association Between Connective Tissue Laxity and the Risk of an Abdominal Aortic Aneurysm. European Journal of Vascular and Endovascular Surgery. 20(3). 290–295. 19 indexed citations
4.
Sala, Evis, L Solomon, Ruth Warren, et al.. (2000). Size, node status and grade of breast tumours: association with mammographic parenchymal patterns. European Radiology. 10(1). 157–161. 55 indexed citations
5.
Wong, Man Yu & N. E. Day. (2000). Validation studies in epidemiology: the relative precision of different designs.. PubMed. 5(6). 331–7. 5 indexed citations
6.
Atkinson, Charlotte, Ruth Warren, Sheila Bingham, & N. E. Day. (1999). Mammographic patterns as a predictive biomarker of breast cancer risk: effect of tamoxifen.. PubMed. 8(10). 863–6. 118 indexed citations
7.
Badrinath, Padmanabhan, N. E. Day, & Diane Stockton. (1999). Geographical clustering of acute adult leukaemia in the East Anglian region of the United Kingdom: a registry-based analysis.. Journal of Epidemiology & Community Health. 53(5). 317–318. 2 indexed citations
8.
Angelis, Daniela De, N. E. Day, & O Nöel Gill. (1998). Acquired Immune Deficiency Syndrome Projections in England and Wales: Interplay of Methodology and Data. Journal of the Royal Statistical Society Series A (Statistics in Society). 161(2). 167–176. 3 indexed citations
9.
Angelis, Daniela De, Walter R. Gilks, & N. E. Day. (1998). Bayesian Projection of the Acquired Immune Deficiency Syndrome Epidemic. Journal of the Royal Statistical Society Series C (Applied Statistics). 47(4). 449–498. 26 indexed citations
10.
Stockton, Diane, Thomas W. Davies, N. E. Day, & Jenny McCann. (1997). Retrospective study of reasons for improved survival in patients with breast cancer in East Anglia: earlier diagnosis or better treatment?. BMJ. 314(7079). 472–472. 72 indexed citations
11.
Day, N. E., S M Gore, & Daniela De Angelis. (1995). Acquired Immune Deficiency Syndrome Predictions for England and Wales (1992-97): Sensitivity Analysis, Information, Decision. Journal of the Royal Statistical Society Series A (Statistics in Society). 158(3). 505–505. 5 indexed citations
12.
Aalen, Odd O., Vernon T. Farewell, Daniela De Angelis, & N. E. Day. (1994). The Use of Human Immunodeficiency Virus Diagnosis Information in Monitoring the Acquired Immune Deficiency Syndrome Epidemic. Journal of the Royal Statistical Society Series A (Statistics in Society). 157(1). 3–3. 18 indexed citations
13.
Angelis, Daniela De, et al.. (1993). AIDS: the statistical basis for public health. Statistical Methods in Medical Research. 2(1). 75–91. 8 indexed citations
14.
Duffy, SW, Làszló Tabár, G Fagerberg, et al.. (1991). Breast screening, prognostic factors and survival – results from the Swedish two county study. British Journal of Cancer. 64(6). 1133–1138. 140 indexed citations
15.
Gill, O N, Michael Adler, & N. E. Day. (1989). Monitoring the prevalence of HIV.. BMJ. 299(6711). 1295–1298. 60 indexed citations
16.
Lee, H.-P., N. E. Day, & K. Shanmugaratnam. (1988). Trends in cancer incidence in Singapore 1968-1982.. PubMed. 1–161. 104 indexed citations
17.
Τζώνου, Αναστασία, et al.. (1984). The epidemiology of ovarian cancer in Greece: A case-control study. European Journal of Cancer and Clinical Oncology. 20(8). 1045–1052. 135 indexed citations
18.
Day, N. E. & Lewis B. Holmes. (1973). The incidence of genetic disease in a University hospital population.. PubMed. 25(3). 237–46. 41 indexed citations
19.
Day, N. E.. (1966). Fitting Curves to Longitudinal Data. Biometrics. 22(2). 276–276. 14 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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