Day Ne

2.2k citations
21 papers · 1.8k · 1 hit paper · h-index 11

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • Cancer Risks and Factors
  • Epidemiology top 10%
    • Cervical Cancer and HPV Research

Papers in

    • Cancer Risks and Factors 2
    • Global Cancer Incidence and Screening 2
    • Viral-associated cancers and disorders 2
    • Cervical Cancer and HPV Research 3
    • Multiple and Secondary Primary Cancers 2

Day Ne

20 papers receiving 1.8k citations

Day Ne's Hit Papers

Statistical methods in cancer research. Volume II--The design and analysis of cohort studies. 1987 · 1.4k citations
1.4k0+13+26Years since publication4008001.2k

Peers

Day Ne
Comparison fields: 5 of 120
  • Oncology 386
  • Epidemiology 265
  • Pathology and Forensic Medicine 122
  • Radiological and Ultrasound Technology 33
  • Statistics and Probability 56
Replace Philip E. Sartwell with:
Philip E. Sartwell United States
Nikolaus Becker Germany
William S. Burnett United States
Guy Hédelin France
Michael Alderson United Kingdom
P A McKinney United Kingdom
Y Mao Canada
R Semenciw Canada
E. Aileen Clarke Canada
Tamara Odom‐Maryon United States
Day Ne relative to Philip E. Sartwell United States Philip E. Sartwell's profile →
Citations per field
00.5×6.7×
Philip E. Sartwell · 1×
Citations per year

Countries citing papers authored by Day Ne

Since Specialization
Citations

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

Fields of papers citing papers by Day Ne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Day Ne, 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 Day Ne Line = papers co-authored together Day Ne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statistical methods in cancer research. Volume II--The design and analysis of cohort studies.
Hit paper breakdown →
19871446
2
Sero-epidemiology of the Epstein-Barr virus: preliminary analysis of an international study - a review.
197599
3
Effect of cervical cancer screening in Scandinavia.
198464
4
Some aspects of the epidemiology of esophageal cancer.
197563
5
[Decrease in breast cancer mortality due to mass screening with mammography; results of the Nijmegen mass screening project 1975-1981].
198532
6
The epidemiological basis for evaluating different screening policies.
198622
7
Immunogenetic aspects of nasopharyngeal carcinoma (NPC) III. HL-a type as a genetic marker of NPC predisposition to test the hypothesis that Epstein-Barr virus is an etiological factor in NPC.
197519
8
Cervical screening attendance and its effectiveness in a rural population in China.
198914
9
The latent period of Burkitt's lymphoma: the evidence from epidemiological clustering.
198511
10
Nasopharyngeal carcinoma and histocompatibility antigens.
197810
11
Cervical cancer screening in north-east Scotland.
198610
12
Epidemiological data and multistage carcinogenesis.
198410
13
Epidemiology of organochlorine insecticides in the adipose tissue of Israelis.
19749
14
Immunogenetic aspects of nasopharyngeal carcinoma. V. Confirmation of a Chinese-related HLA profile (A2, Singapore 2) associated with an increased risk in Chinese for nasopharyngeal carcinoma.
19778
15
Epidemiological studies of anticancer drug carcinogenicity.
19867
16
A case-control study of leukaemia as a second primary malignancy following ovarian and breast neoplasms.
19865
17
HLA and nasopharyngeal cancer.
19772
18
Storage of organochlorine insecticides in the adipose tissue of people in Kenya.
19722
19
The role of correlated errors in the multivariate analysis of dietary data.
20021
20
[The WE project: mammography significantly decreases breast cancer mortality].
19901

About Day Ne

Day Ne is a scholar working on Oncology, Epidemiology, Otorhinolaryngology, Pathology and Forensic Medicine and Immunology, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Cervical Cancer and HPV Research (3 papers), Multiple and Secondary Primary Cancers (2 papers), Cancer Risks and Factors (2 papers), Global Cancer Incidence and Screening (2 papers), Viral-associated cancers and disorders (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Oncology (386 citations), Epidemiology (265 citations), Pathology and Forensic Medicine (122 citations), Radiological and Ultrasound Technology (33 citations) and Statistics and Probability (56 citations). Day Ne has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include G de-Thé, Ho Jh, A. Geser, P. M. Tukei, H Závadová, R Sohier, M Mravunac, Robert H. Holland, F. Sturmans and Parkin Dm. Their work appears in journals such as PubMed.

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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