Nick Day
Impact in
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- Phytoestrogen effects and research
- Nutrition and Dietetics top 10%
Papers in ⓘ
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- Digital Radiography and Breast Imaging 2
- Co-authors
- Kay‐Tee Khaw (7 shared papers)Sheila Bingham (7 shared papers)Ailsa Welch (5 shared papers)Angela A. Mulligan (4 shared papers)James I. Taylor (4 shared papers)Robert Luben (4 shared papers)Nicholas J. Wareham (4 shared papers)Yen-Ling Low (4 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (4 papers)International Journal of Cancer (3 papers)Breast Cancer Research (2 papers)Journal of Applied Crystallography (2 papers)Gastroenterology (1 paper)
- Partner nations
- United KingdomFranceAustralia
In The Last Decade
Nick Day
26 papers receiving 979 citations
Peers
Comparison fields: 5 of 112
- Pathology and Forensic Medicine 350
- Nutrition and Dietetics 134
- Biochemistry 52
- Public Health, Environmental and Occupational Health 247
- Oncology 210
Countries citing papers authored by Nick Day
This map shows the geographic impact of Nick 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 Nick Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Day more than expected).
Fields of papers citing papers by Nick Day
This network shows the impact of papers produced by Nick 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 Nick Day. The network helps show where Nick Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Nick Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 214 | |
| 2 | 2002 | 154 | |
| 3 | 1998 | 105 | |
| 4 | 2005 | 66 | |
| 5 | 2005 | 60 | |
| 6 | 2008 | 54 | |
| 7 | 1997 | 53 | |
| 8 | 1996 | 50 | |
| 9 | 2005 | 49 | |
| 10 | 2006 | 49 | |
| 11 | 2005 | 43 | |
| 12 | 2008 | 41 | |
| 13 | 2005 | 21 | |
| 14 | 2000 | 17 | |
| 15 | 2004 | 9 | |
| 16 | 2005 | 9 | |
| 17 | 2012 | 9 | |
| 18 | 2010 | 7 | |
| 19 | 2011 | 4 | |
| 20 | 1996 | 4 |
About Nick Day
Nick Day is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Genetics, Surgery and Pathology and Forensic Medicine, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (5 papers), Estrogen and related hormone effects (4 papers), Esophageal Cancer Research and Treatment (4 papers), Scientific Computing and Data Management (3 papers), Vitamin C and Antioxidants Research (3 papers), Nutrition, Genetics, and Disease (2 papers), Cancer Risks and Factors (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (350 citations), Nutrition and Dietetics (134 citations), Biochemistry (52 citations), Public Health, Environmental and Occupational Health (247 citations) and Oncology (210 citations). Nick Day has collaborated with scholars based in United Kingdom, France and Australia. Frequent co-authors include Kay‐Tee Khaw, Sheila Bingham, Ailsa Welch, Angela A. Mulligan, James I. Taylor, Robert Luben, Nicholas J. Wareham, Yen-Ling Low, Philip B. Grace and Guy Launoy. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, International Journal of Cancer, Breast Cancer Research, Journal of Applied Crystallography and Gastroenterology.
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.