Qi Dai

187 papers receiving 7.7k citations

Peers

Qi Dai
Comparison fields: 5 of 159
  • Pathology and Forensic Medicine 1.5k
  • Nutrition and Dietetics 1.3k
  • Oncology 1.6k
  • Biochemistry 380
  • Genetics 1.2k
Replace W. C. Willett with:
W. C. Willett United States
Hui Cai United States
Honglan Li China
James M. Shikany United States
M. J. Stampfer United States
Yong‐Bing Xiang China
Gong Yang United States
Marie‐Christine Boutron‐Ruault France
Ellen Kampman Netherlands
E. B. Rimm United States
Qi Dai relative to W. C. Willett United States W. C. Willett's profile →
Citations per field
00.5×2.8×
W. C. Willett · 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 192 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.
2001385
2 2008297
3 2014288
4 2000247
5 2001199
6
Urinary excretion of isoflavonoids and the risk of breast cancer.
1999185
7 2014182
8
Urinary excretion of phytoestrogens and risk of breast cancer among Chinese women in Shanghai.
2002176
9
Dietary folate intake and breast cancer risk: results from the Shanghai Breast Cancer Study.
2001158
10 2017156
11 2016154
12 2007148
13 2004143
14 2013139
15 2018138
16 2018113
17 2013107
18 2001107
19 2007107
20
Consumption of animal foods, cooking methods, and risk of breast cancer.
2002107

About Qi Dai

Qi Dai is a scholar working on Nutrition and Dietetics, Oncology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 192 papers that have together received 8.0k indexed citations. Recurring topics across this work include Magnesium in Health and Disease (38 papers), Cancer Risks and Factors (29 papers), Nutritional Studies and Diet (18 papers), Estrogen and related hormone effects (18 papers), Phytoestrogen effects and research (16 papers), Parathyroid Disorders and Treatments (12 papers), Epigenetics and DNA Methylation (9 papers) and Cancer, Lipids, and Metabolism (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.5k citations), Nutrition and Dietetics (1.3k citations), Oncology (1.6k citations), Biochemistry (380 citations) and Genetics (1.2k 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, Martha J. Shrubsole, Xiao‐Ou Shu, 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, Breast Cancer Research and Treatment 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.

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