Qi Dai

1.8k total citations
19 papers, 1.4k citations indexed

About

Qi Dai is a scholar working on Molecular Biology, Biochemistry and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Qi Dai has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Biochemistry and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Qi Dai's work include Antioxidant Activity and Oxidative Stress (8 papers), Glutathione Transferases and Polymorphisms (4 papers) and Nutritional Studies and Diet (4 papers). Qi Dai is often cited by papers focused on Antioxidant Activity and Oxidative Stress (8 papers), Glutathione Transferases and Polymorphisms (4 papers) and Nutritional Studies and Diet (4 papers). Qi Dai collaborates with scholars based in China, United States and Malaysia. Qi Dai's co-authors include Yu‐Tang Gao, Bu‐Tian Ji, J F Fraumeni, Joseph K. McLaughlin, Wei Zheng, Xiao‐Ou Shu, Honglan Li, Gong Yang, W. J. Blot and Wong‐Ho Chow and has published in prestigious journals such as Journal of Clinical Oncology, The EMBO Journal and American Journal of Clinical Nutrition.

In The Last Decade

Qi Dai

17 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qi Dai China	14	475	429	276	251	181	19	1.4k
Mitsuru Kimira Japan	9	301 0.6×	548 1.3×	278 1.0×	172 0.7×	166 0.9×	18	1.3k
Swen Wolfram Netherlands	11	470 1.0×	879 2.0×	453 1.6×	130 0.5×	43 0.2×	12	1.7k
Yohei Shirakami Japan	29	912 1.9×	648 1.5×	428 1.6×	61 0.2×	398 2.2×	91	2.3k
Myriam Orellana Chile	18	482 1.0×	233 0.5×	87 0.3×	121 0.5×	70 0.4×	26	1.9k
Wim van Duyvenvoorde Netherlands	23	468 1.0×	160 0.4×	406 1.5×	104 0.4×	71 0.4×	42	1.6k
Andrea L. Edel Canada	25	434 0.9×	392 0.9×	149 0.5×	170 0.7×	47 0.3×	43	1.6k
Montserrat Cofán Spain	29	448 0.9×	159 0.4×	230 0.8×	349 1.4×	88 0.5×	100	2.3k
Emad H. M. Hassanein Egypt	26	566 1.2×	416 1.0×	61 0.2×	192 0.8×	107 0.6×	71	1.6k
Rouyanne T. Ras Netherlands	16	349 0.7×	159 0.4×	366 1.3×	311 1.2×	45 0.2×	23	1.9k
Fuzhi Lian China	19	531 1.1×	228 0.5×	550 2.0×	83 0.3×	48 0.3×	45	1.3k

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-authorship network of co-authors of Qi Dai

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

All Works

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19 of 19 papers shown

Wang, Qian, et al.. (2024). Study of the causal relationship between gastroesophageal reflux disease and hypertension through two-sample Mendelian randomization analysis. Frontiers in Cardiovascular Medicine. 11. 1326348–1326348.

Zhao, Yingya, Marina Sayuri Nogueira, Qingxia Chen, et al.. (2023). Association between F2-Isoprostane Metabolites and Weight Change in Older Women: A Longitudinal Analysis. Gerontology. 70(2). 134–142.

Jiang, Yu, Yingya Zhao, Ginger L. Milne, et al.. (2022). Quality of dietary carbohydrate is more important than its quantity in lipid peroxidation. American Journal of Clinical Nutrition. 116(1). 189–196. 3 indexed citations

Li, Mengjie, Yingya Zhao, Qi Dai, et al.. (2022). Lipid peroxidation biomarkers associated with height and obesity measures in the opposite direction in women. Obesity. 30(6). 1257–1267. 6 indexed citations

Luu, Hung N., Wanqing Wen, Honglan Li, et al.. (2015). Are Dietary Antioxidant Intake Indices Correlated to Oxidative Stress and Inflammatory Marker Levels?. Antioxidants and Redox Signaling. 22(11). 951–959. 95 indexed citations

Nechuta, Sarah, Qiuyin Cai, Ying Zheng, et al.. (2014). Urinary biomarkers of oxidative stress and breast cancer survival. Cancer Causes & Control. 25(6). 701–707. 12 indexed citations

Dorjgochoo, Tsogzolmaa, Yu-Tang Gao, Wong‐Ho Chow, et al.. (2012). Major metabolite of F2-isoprostane in urine may be a more sensitive biomarker of oxidative stress than isoprostane itself. American Journal of Clinical Nutrition. 96(2). 405–414. 72 indexed citations

Takata, Yumie, Xiao‐Ou Shu, Gong Yang, et al.. (2012). Calcium Intake and Lung Cancer Risk Among Female Nonsmokers: A Report from the Shanghai Women's Health Study. Cancer Epidemiology Biomarkers & Prevention. 22(1). 50–57. 39 indexed citations

Cooney, Robert V., Qi Dai, Yu-Tang Gao, et al.. (2011). Low Plasma Coenzyme Q10 Levels and Breast Cancer Risk in Chinese Women. Cancer Epidemiology Biomarkers & Prevention. 20(6). 1124–1130. 34 indexed citations

10.

Villegas, Raquel, Yu‐Tang Gao, Qi Dai, et al.. (2009). Dietary calcium and magnesium intakes and the risk of type 2 diabetes: the Shanghai Women’s Health Study. American Journal of Clinical Nutrition. 89(4). 1059–1067. 152 indexed citations

11.

Dai, Qi, Yu-Tang Gao, Xiao‐Ou Shu, et al.. (2009). Oxidative Stress, Obesity, and Breast Cancer Risk: Results From the Shanghai Women's Health Study. Journal of Clinical Oncology. 27(15). 2482–2488. 85 indexed citations

12.

Dorjgochoo, Tsogzolmaa, Yu-Tang Gao, Wong‐Ho Chow, et al.. (2008). Plasma carotenoids, tocopherols, retinol and breast cancer risk: results from the Shanghai Women Health Study (SWHS). Breast Cancer Research and Treatment. 117(2). 381–389. 31 indexed citations

13.

Lee, Sang‐Ah, Qi Dai, Wei Zheng, et al.. (2006). Association of serum concentration of organochlorine pesticides with dietary intake and other lifestyle factors among urban Chinese women. Environment International. 33(2). 157–163. 69 indexed citations

14.

Cai, Qiuyin, Xiao‐Ou Shu, Wanqing Wen, et al.. (2006). Functional Ser326Cys Polymorphism in the hOGG1 Gene Is Not Associated with Breast Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 15(2). 403–404. 29 indexed citations

15.

Matthews, Charles E., Xiao‐Ou Shu, Hui Cai, et al.. (2005). Energy Balance and Breast Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 14(6). 1496–1501. 46 indexed citations

16.

Dai, Qi. (2003). CHIP activates HSF1 and confers protection against apoptosis and cellular stress. The EMBO Journal. 22(20). 5446–5458. 257 indexed citations

17.

Fowke, Jay H., Xiao‐Ou Shu, Qi Dai, et al.. (2003). Urinary isothiocyanate excretion, brassica consumption, and gene polymorphisms among women living in Shanghai, China.. PubMed. 12(12). 1536–9. 32 indexed citations

18.

Ji, Bu‐Tian, Wong‐Ho Chow, Ann W. Hsing, et al.. (1997). Green tea consumption and the risk of pancreatic and colorectal cancers. International Journal of Cancer. 70(3). 255–258. 182 indexed citations

19.

Gao, Yu‐Tang, Joseph K. McLaughlin, W. J. Blot, et al.. (1994). Reduced Risk of Esophageal Cancer Associated With Green Tea Consumption. JNCI Journal of the National Cancer Institute. 86(11). 855–858. 283 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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