N. E. Day

17 papers receiving 747 citations

Peers

N. E. Day
Comparison fields: 5 of 97
  • Reproductive Medicine 99
  • Oncology 246
  • Cancer Research 126
  • Pathology and Forensic Medicine 94
  • Pulmonary and Respiratory Medicine 162
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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-authors

The 25 scholars most cited alongside N. E. Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N. E. Day Line = papers co-authored together N. E. Day links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1984144
2 1991143
3
Mammographic patterns as a predictive biomarker of breast cancer risk: effect of tamoxifen.
1999122
4
Trends in cancer incidence in Singapore 1968-1982.
1988111
5 198961
6 200057
7
The incidence of genetic disease in a University hospital population.
197345
8 199832
9 200020
10 199418
11 200117
12 196617
13 19938
14
Validation studies in epidemiology: the relative precision of different designs.
20005
15 19955
16 19983
17 19992

About N. E. Day

N. E. Day is a scholar working on Epidemiology, Artificial Intelligence, Cancer Research, Infectious Diseases and Pathology and Forensic Medicine, having authored 17 papers that have together received 810 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), HIV/AIDS Impact and Responses (2 papers), Global Cancer Incidence and Screening (2 papers), HIV/AIDS Research and Interventions (2 papers), HIV Research and Treatment (2 papers), Bayesian Methods and Mixture Models (2 papers), Breast Lesions and Carcinomas (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Reproductive Medicine (99 citations), Oncology (246 citations), Cancer Research (126 citations), Pathology and Forensic Medicine (94 citations) and Pulmonary and Respiratory Medicine (162 citations). N. E. Day has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include Ruth Warren, K. Shanmugaratnam, H.-P. Lee, Charlotte Atkinson, Sheila Bingham, Lewis B. Holmes, A M Walker, D. Trichopoulos, Αναστασία Τζώνου and Argy Polychronopoulou. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Journal of Epidemiology & Community Health, Journal of the Royal Statistical Society Series C (Applied Statistics), European Journal of Vascular and Endovascular Surgery and Journal of Medical Screening.

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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