Nick Day
Impact in
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- Phytoestrogen effects and research
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- Mosquito-borne diseases and control
- Nutritional Studies and Diet
Papers in
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- Geochemistry and Geologic Mapping 2
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- Digital Radiography and Breast Imaging 2
- Co-authors
- Sheila Bingham (7 shared papers)Kay‐Tee Khaw (7 shared papers)Ailsa Welch (5 shared papers)James I. Taylor (4 shared papers)Robert Luben (4 shared papers)Philip B. Grace (4 shared papers)Angela A. Mulligan (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)Lifetime Data Analysis (1 paper)
- Partner nations
- United KingdomFranceSouth Sudan
In The Last Decade
Nick Day
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Pathology and Forensic Medicine 350
- Public Health, Environmental and Occupational Health 227
- Biochemistry 48
- Nutrition and Dietetics 115
- Genetics 173
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 229 | |
| 2 | 2002 | 167 | |
| 3 | 1998 | 111 | |
| 4 | 2005 | 71 | |
| 5 | 2005 | 64 | |
| 6 | 2008 | 58 | |
| 7 | 1997 | 55 | |
| 8 | 1996 | 53 | |
| 9 | 2005 | 52 | |
| 10 | 2006 | 50 | |
| 11 | 2005 | 46 | |
| 12 | 2008 | 43 | |
| 13 | 2005 | 21 | |
| 14 | 2000 | 20 | |
| 15 | 2004 | 10 | |
| 16 | 2005 | 10 | |
| 17 | 2012 | 9 | |
| 18 | 2010 | 7 | |
| 19 | 2007 | 6 | |
| 20 | 2011 | 4 |
About Nick Day
Nick Day is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Genetics and Surgery, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (5 papers), Esophageal Cancer Research and Treatment (4 papers), Estrogen and related hormone effects (4 papers), Vitamin C and Antioxidants Research (3 papers), Scientific Computing and Data Management (3 papers), Geochemistry and Geologic Mapping (2 papers), Digital Radiography and Breast Imaging (2 papers) and Nutrition, Genetics, and Disease (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (350 citations), Public Health, Environmental and Occupational Health (227 citations), Biochemistry (48 citations), Nutrition and Dietetics (115 citations) and Genetics (173 citations). Nick Day has collaborated with scholars based in United Kingdom, France and South Sudan. Frequent co-authors include Sheila Bingham, Kay‐Tee Khaw, Ailsa Welch, James I. Taylor, Robert Luben, Philip B. Grace, Angela A. Mulligan, Yen-Ling Low, Jean Faivre 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 Lifetime Data Analysis.
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.