Qi Dai

180 papers receiving 7.3k citations

Peers

Qi Dai
Comparison fields: 5 of 161
  • Pathology and Forensic Medicine 1.7k
  • Nutrition and Dietetics 1.4k
  • Oncology 2.1k
  • Biochemistry 387
  • Nephrology 378
Replace Hui Cai with:
Hui Cai United States
W. C. Willett United States
Yong‐Bing Xiang China
Honglan Li China
James M. Shikany United States
Gong Yang United States
M. J. Stampfer United States
Li‐Qiang Qin China
Marie‐Christine Boutron‐Ruault France
Jakob Linseisen Germany
Qi Dai relative to Hui Cai United States Hui Cai's profile →
Citations per field
00.5×1.5×1.8×
Hui Cai · 1×
Citations per year

Countries citing papers authored by Qi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Qi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Soyfood intake during adolescence and subsequent risk of breast cancer among Chinese women.
2001360
2 2008283
3 2014266
4 2000242
5 2001187
6
Urinary excretion of isoflavonoids and the risk of breast cancer.
1999174
7
Urinary excretion of phytoestrogens and risk of breast cancer among Chinese women in Shanghai.
2002168
8 2014168
9
Dietary folate intake and breast cancer risk: results from the Shanghai Breast Cancer Study.
2001152
10 2017151
11 2016142
12 2004140
13 2007138
14 2013135
15 2018131
16
Consumption of animal foods, cooking methods, and risk of breast cancer.
2002107
17 2013105
18 2018105
19 2004103
20 2016102

About Qi Dai

Qi Dai is a scholar working on Nutrition and Dietetics, Oncology, Molecular Biology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 189 papers that have together received 7.6k indexed citations. Recurring topics across this work include Magnesium in Health and Disease (38 papers), Cancer Risks and Factors (36 papers), Nutritional Studies and Diet (26 papers), Parathyroid Disorders and Treatments (22 papers), Phytoestrogen effects and research (20 papers), Estrogen and related hormone effects (19 papers), Vitamin D Research Studies (10 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.7k citations), Nutrition and Dietetics (1.4k citations), Oncology (2.1k citations), Biochemistry (387 citations) and Nephrology (378 citations). Qi Dai has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wei Zheng, Yu‐Tang Gao, Fan Jin, Xiao‐Ou Shu, Martha J. Shrubsole, Qiuyin Cai, Wanqing Wen, John D. Potter, Xiao Ou Shu and Ginger L. Milne. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, International Journal of Cancer, Cancer Research, American Journal of Clinical Nutrition and British Journal of Cancer.

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.

Explore authors with similar magnitude of impact