N E Day

2.0k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

N E Day is a scholar working on Oncology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, N E Day has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 3 papers in Pathology and Forensic Medicine and 3 papers in Genetics. Recurrent topics in N E Day's work include Global Cancer Incidence and Screening (5 papers), Viral-associated cancers and disorders (4 papers) and Lymphoma Diagnosis and Treatment (3 papers). N E Day is often cited by papers focused on Global Cancer Incidence and Screening (5 papers), Viral-associated cancers and disorders (4 papers) and Lymphoma Diagnosis and Treatment (3 papers). N E Day collaborates with scholars based in France, United Kingdom and Uganda. N E Day's co-authors include Matti Hakama, Esa Läärä, J Chamberlain, Suresh H. Moolgavkar, Rebecca Stevens, N. E. Breslow, A. Geser, A. B. Miller, Anthony B. Miller and Edward H. Williams and has published in prestigious journals such as The Lancet, JNCI Journal of the National Cancer Institute and British Journal of Cancer.

In The Last Decade

N E Day

15 papers receiving 1.3k citations

Hit Papers

TRENDS IN MORTALITY FROM CERVICAL CANCER IN THE NORDIC CO... 1987 2026 2000 2013 1987 100 200 300 400 500

Peers

N E Day
Comparison fields: 5 of 110
  • Oncology 871
  • Epidemiology 655
  • Surgery 153
  • Pathology and Forensic Medicine 147
  • Obstetrics and Gynecology 135
Replace Lauro Bucchi with:
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E. Schifflers Belgium
Parkin Dm France
J W Horm United States
P. Babb United Kingdom
Pilar Moreo Spain
Roshan F. Chinoy India
Carol Kosary United States
L A Brinton United States
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Lauro Bucchi Italy View profile →
Citations per field, relative to N E Day
N E Day · 1×
Citations per year, relative to N E Day
N E Day · 1×

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

15 of 15 papers shown
# Work Indexed citations
1 3
2 15
3 1
4
The Swedish two-county trial of mammographic screening for breast cancer: recent results on mortality and tumor characteristics.
15
5 41
6 154
7 21
8
Statistical methods in cancer research. IARC Workshop 25-27 May 1983.
100
9
TRENDS IN MORTALITY FROM CERVICAL CANCER IN THE NORDIC COUNTRIES: ASSOCIATION WITH ORGANISED SCREENING PROGRAMMES breakdown →
513
10 158
11 60
12 98
13 214
14 36
15 18

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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