Qingqing Man

1.3k total citations
78 papers, 1.0k citations indexed

About

Qingqing Man is a scholar working on Nutrition and Dietetics, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Qingqing Man has authored 78 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nutrition and Dietetics, 18 papers in Public Health, Environmental and Occupational Health and 18 papers in Physiology. Recurrent topics in Qingqing Man's work include Nutritional Studies and Diet (16 papers), Nutrition and Health in Aging (11 papers) and Iron Metabolism and Disorders (9 papers). Qingqing Man is often cited by papers focused on Nutritional Studies and Diet (16 papers), Nutrition and Health in Aging (11 papers) and Iron Metabolism and Disorders (9 papers). Qingqing Man collaborates with scholars based in China, United Kingdom and Norway. Qingqing Man's co-authors include Chunrong Wang, Pengkun Song, Lixiang Li, Liping Meng, Wen­hua Zhao, Livar Frøyland, Shuang Song, Yuqian Li, Zhen‐Yu Du and Shanshan Jia and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The Science of The Total Environment.

In The Last Decade

Qingqing Man

74 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingqing Man China 18 418 216 162 162 123 78 1.0k
Savita Verma Attri India 19 241 0.6× 98 0.5× 146 0.9× 111 0.7× 120 1.0× 115 1.2k
Danijela Ristić-Medić Serbia 16 654 1.6× 136 0.6× 175 1.1× 218 1.3× 114 0.9× 59 1.3k
Begoña Manuel‐y‐Keenoy Belgium 19 169 0.4× 85 0.4× 303 1.9× 153 0.9× 126 1.0× 35 1.1k
Xu Lin China 12 222 0.5× 218 1.0× 83 0.5× 323 2.0× 63 0.5× 14 1.2k
R Casale Italy 15 147 0.4× 136 0.6× 137 0.8× 182 1.1× 232 1.9× 53 1.1k
B Sandström Sweden 18 442 1.1× 189 0.9× 69 0.4× 109 0.7× 157 1.3× 63 1.1k
Paolo Pasqualetti Italy 12 139 0.3× 139 0.6× 89 0.5× 118 0.7× 150 1.2× 19 787
Adinath N. Suryakar India 16 193 0.5× 79 0.4× 53 0.3× 99 0.6× 90 0.7× 51 924
Beate Tiran Austria 20 269 0.6× 47 0.2× 156 1.0× 186 1.1× 54 0.4× 67 1.3k
Dilina do Nascimento Marreiro Brazil 19 454 1.1× 86 0.4× 87 0.5× 141 0.9× 51 0.4× 38 846

Countries citing papers authored by Qingqing Man

Since Specialization
Citations

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

Fields of papers citing papers by Qingqing Man

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingqing Man

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

All Works

20 of 20 papers shown
1.
Yuan, Huangbo, Yanfeng Jiang, Zhenqiu Liu, et al.. (2025). Leveraging biomarkers and primary care embedding for scalable precision cancer prevention in China: Insights from the FuSion study. The Innovation. 7(3). 101189–101189.
2.
Jia, Shanshan, Xiaona Zhang, Qingqing Man, et al.. (2025). Association between dietary patterns and sarcopenia among community-dwelling older adults in five provinces of China: a cross-sectional study. Frontiers in Public Health. 13. 1556033–1556033. 1 indexed citations
3.
4.
5.
Dong, Weihua, Qingqing Man, Jian Zhang, et al.. (2024). Geographic disparities of dietary inflammatory index and its association with hypertension in middle-aged and elders in China: results from a nationwide cross-sectional study. Frontiers in Nutrition. 11. 1355091–1355091. 1 indexed citations
6.
Duan, Yifan, et al.. (2024). The association between macrosomia and glucose, lipids and hormones levels in maternal and cord serum: a case-control study. BMC Pregnancy and Childbirth. 24(1). 599–599. 1 indexed citations
7.
Liu, Zhen, et al.. (2023). Estimation of 24-hour urinary sodium and potassium excretion among Chinese adults: a cross-sectional study from the China National Nutrition Survey. American Journal of Clinical Nutrition. 119(1). 164–173. 11 indexed citations
8.
Man, Qingqing, Yu Zhang, Lianlong Yu, et al.. (2023). Geographical Distribution of Dietary Patterns and Their Association with T2DM in Chinese Adults Aged 45 y and Above: A Nationwide Cross-Sectional Study. Nutrients. 16(1). 107–107. 4 indexed citations
9.
Yu, Lianlong, Yuqian Li, Qingqing Man, et al.. (2022). Association between Dietary Fiber Intake and Hyperuricemia among Chinese Adults: Analysis of the China Adult Chronic Disease and Nutrition Surveillance (2015). Nutrients. 14(7). 1433–1433. 23 indexed citations
10.
Jia, Shanshan, Yuqian Li, Beibei Liu, et al.. (2021). [Association between glucose and blood lipid among adolescents in eastern China].. PubMed. 50(2). 205–209. 1 indexed citations
11.
Zhang, Huidi, Yang Cao, Pengkun Song, et al.. (2021). Suggested Reference Ranges of Blood Mg and Ca Level in Childbearing Women of China: Analysis of China Adult Chronic Disease and Nutrition Surveillance (2015). Nutrients. 13(9). 3287–3287. 10 indexed citations
12.
Song, Pengkun, Qingqing Man, Yuqian Li, et al.. (2021). Trends of Underweight Malnutrition Among Chinese Residents Aged 60 Years and Above — China, 1992−2015. China CDC Weekly. 3(11). 232–236. 5 indexed citations
13.
Pang, Shaojie, Qingqing Man, Shuang Song, et al.. (2018). Relationships of Insulin Action to Age, Gender, Body Mass Index, and Waist Circumference Present Diversely in Different Glycemic Statuses among Chinese Population. Journal of Diabetes Research. 2018. 1–9. 8 indexed citations
14.
Song, Shuang, Ling‐Zhi Cheong, Hui Wang, et al.. (2017). Characterization of phospholipid profiles in six kinds of nut using HILIC-ESI-IT-TOF-MS system. Food Chemistry. 240. 1171–1178. 40 indexed citations
15.
Xia, Zhiwei, Liping Meng, Qingqing Man, et al.. (2016). [Analysis of the dietary factors on sarcopenia in elderly in Beijing].. PubMed. 45(3). 388–93. 8 indexed citations
16.
Song, Pengkun, Yuqian Li, Shanshan Jia, Qingqing Man, & Jian Zhang. (2016). [Status of salt intake among Chinese aged 60 and above in 2010-2012].. PubMed. 45(5). 714–717. 1 indexed citations
17.
Song, Pengkun, Hong Li, Shanshan Jia, et al.. (2016). [Serum total cholesterol status among urban residents aged 18 and above in China from 2010 to 2012].. PubMed. 50(3). 208–12. 2 indexed citations
18.
Meng, Liping, Qingqing Man, Lixiang Li, et al.. (2015). The blood glucose level and diabetes prevalence in Chinese adults from 2010 to 2012. 49(4). 305–310. 2 indexed citations
19.
An, Peng, Qian Wu, Hao Wang, et al.. (2012). TMPRSS6, but not TF, TFR2 or BMP2 variants are associated with increased risk of iron-deficiency anemia. Human Molecular Genetics. 21(9). 2124–2131. 77 indexed citations
20.
Zhang, Jian, Chunrong Wang, Lixiang Li, et al.. (2010). Inclusion of Atlantic salmon in the Chinese diet reduces cardiovascular disease risk markers in dyslipidemic adult men. Nutrition Research. 30(7). 447–454. 31 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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