NE Day

456 total citations
11 papers, 367 citations indexed

About

NE Day is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Hematology. According to data from OpenAlex, NE Day has authored 11 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 4 papers in Epidemiology and 3 papers in Hematology. Recurrent topics in NE Day's work include Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). NE Day is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). NE Day collaborates with scholars based in United Kingdom, Qatar and Russia. NE Day's co-authors include K-T Khaw, Robert Luben, Sheila Bingham, N J Wareham, Suzy Oakes, AA Welch, A McTaggart, Neff Walker, SA Bingham and JM Kaldor and has published in prestigious journals such as British Journal of Cancer, European Journal of Clinical Nutrition and Public Health Nutrition.

In The Last Decade

NE Day

11 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
NE Day United Kingdom 7 163 77 66 63 63 11 367
Jóhanna E. Torfadóttir Iceland 12 172 1.1× 87 1.1× 71 1.1× 26 0.4× 63 1.0× 42 460
Hong Soo Lee South Korea 10 139 0.9× 105 1.4× 21 0.3× 136 2.2× 69 1.1× 47 565
Jianbing Guo China 7 116 0.7× 63 0.8× 31 0.5× 37 0.6× 42 0.7× 9 335
G. Cavera Italy 12 88 0.5× 103 1.3× 24 0.4× 129 2.0× 30 0.5× 19 463
Alireza Bahrami Iran 11 126 0.8× 104 1.4× 27 0.4× 55 0.9× 32 0.5× 45 346
Rosario D’Anna Italy 9 206 1.3× 25 0.3× 135 2.0× 98 1.6× 49 0.8× 13 660
Maria Luísa Pereira de Melo Brazil 9 53 0.3× 54 0.7× 50 0.8× 40 0.6× 44 0.7× 22 343
Waleed Tamimi Saudi Arabia 11 52 0.3× 51 0.7× 65 1.0× 42 0.7× 40 0.6× 32 349
Heiner Boeing Germany 8 91 0.6× 93 1.2× 19 0.3× 94 1.5× 20 0.3× 8 391
Eri Imai Japan 11 64 0.4× 68 0.9× 24 0.4× 22 0.3× 74 1.2× 41 299

Countries citing papers authored by NE Day

Since Specialization
Citations

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

Fields of papers citing papers by NE Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of NE Day

This figure shows the co-authorship network connecting the top 25 collaborators of NE Day. A scholar is included among the top collaborators of NE 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 NE Day. NE Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Pattison, Dorothy J, Deborah Symmons, Robert Luben, et al.. (2003). High red meat and total protein consumption are risk factors for new onset inflammatory polyarthritis: Results from a population-based prospective study. UEA Digital Repository (University of East Anglia). 48. 1 indexed citations
2.
Luben, Robert, K-T Khaw, AA Welch, et al.. (2002). Plasma vitamin C, cancer mortality and incidence in men and women: a prospective study.. PubMed. 156. 117–8. 2 indexed citations
3.
Khaw, K-T, Ailsa Welch, Suzy Oakes, et al.. (2002). Cross-sectional association between total level and type of alcohol consumption and glycosylated haemoglobin level: the EPIC-Norfolk Study. European Journal of Clinical Nutrition. 56(9). 882–890. 26 indexed citations
4.
Khaw, K-T, Sheila Bingham, NE Day, et al.. (2001). Fruit and vegetable intake and population glycosylated haemoglobin levels: the EPIC-Norfolk Study. European Journal of Clinical Nutrition. 55(5). 342–348. 102 indexed citations
5.
Welch, AA, A McTaggart, Robert Luben, et al.. (2001). DINER (Data Into Nutrients for Epidemiological Research) – a new data-entry program for nutritional analysis in the EPIC–Norfolk cohort and the 7-day diary method. Public Health Nutrition. 4(6). 1253–1265. 118 indexed citations
6.
Ness, Andy, K-T Khaw, Sheila Bingham, & NE Day. (1999). Plasma vitamin C: what does it measure?. Public Health Nutrition. 2(1). 51–54. 16 indexed citations
7.
Day, NE, et al.. (1993). Risk of leukaemia after chemotherapy in a case-control study in Moscow. British Journal of Cancer. 67(2). 347–350. 1 indexed citations
8.
Kaldor, JM, NE Day, Folke Pettersson, et al.. (1990). Leukemia following chemotherapy for ovarian cancer. International Journal of Gynecology & Obstetrics. 33(2). 185–185. 7 indexed citations
9.
Kaldor, J, et al.. (1990). Leukemia following chemotherapy for ovarian cancer. International Journal of Gynecology & Obstetrics. 32(4). 397–397. 8 indexed citations
10.
Kaldor, J, et al.. (1990). Leukemia following chemotherapy for ovarian cancer. International Journal of Gynecology & Obstetrics. 33(3). 289–289. 1 indexed citations
11.
Staneczek, W, et al.. (1987). Risk of leukaemia in ovarian tumour and breast cancer patients following treatment by cyclophosphamide. British Journal of Cancer. 55(2). 213–218. 85 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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