Xiaohui Liu

2.4k total citations · 1 hit paper
88 papers, 1.6k citations indexed

About

Xiaohui Liu is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Xiaohui Liu has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Public Health, Environmental and Occupational Health, 21 papers in Genetics and 20 papers in Nutrition and Dietetics. Recurrent topics in Xiaohui Liu's work include Nutritional Studies and Diet (19 papers), Fatty Acid Research and Health (12 papers) and Diet and metabolism studies (11 papers). Xiaohui Liu is often cited by papers focused on Nutritional Studies and Diet (19 papers), Fatty Acid Research and Health (12 papers) and Diet and metabolism studies (11 papers). Xiaohui Liu collaborates with scholars based in China, United States and Japan. Xiaohui Liu's co-authors include Qikai Wu, Jun Chen, Zhaoqin Wang, Luo Fang, Fengjuan Chen, Tao Wang, Lei Liu, Qing He, Qingxian Cai and Lin Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaohui Liu

82 papers receiving 1.5k citations

Hit Papers

Obesity and COVID-19 Severity in a Designated Hospital in... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohui Liu China 19 408 318 251 230 216 88 1.6k
Runming Jin China 20 629 1.5× 594 1.9× 171 0.7× 143 0.6× 197 0.9× 103 2.3k
William D. Green United States 9 572 1.4× 157 0.5× 376 1.5× 193 0.8× 258 1.2× 16 1.4k
Mikiko Watanabe Italy 28 383 0.9× 447 1.4× 382 1.5× 895 3.9× 153 0.7× 74 2.3k
Giulia Accardi Italy 27 223 0.5× 576 1.8× 297 1.2× 577 2.5× 130 0.6× 97 2.3k
Ivan Tancevski Austria 25 283 0.7× 434 1.4× 205 0.8× 169 0.7× 281 1.3× 81 1.9k
Zhonglin Chai Australia 20 441 1.1× 365 1.1× 195 0.8× 127 0.6× 205 0.9× 52 1.6k
Yun Lin China 27 480 1.2× 560 1.8× 194 0.8× 155 0.7× 117 0.5× 101 2.3k
Ying Huang China 25 640 1.6× 612 1.9× 309 1.2× 132 0.6× 272 1.3× 127 2.6k
Wenshan Lv China 14 376 0.9× 410 1.3× 192 0.8× 127 0.6× 208 1.0× 32 1.5k
Mingyue Li China 22 1.0k 2.5× 467 1.5× 266 1.1× 117 0.5× 444 2.1× 54 2.2k

Countries citing papers authored by Xiaohui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Liu. A scholar is included among the top collaborators of Xiaohui Liu 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 Xiaohui Liu. Xiaohui Liu 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.
Zhuang, Pan, Xiaohui Liu, Zhen Yan, et al.. (2025). Impact of dietary transitions on overweight and obesity burden and future trends among Chinese adults. npj Science of Food. 9(1). 257–257.
2.
Liu, Xiaohui, et al.. (2024). Seafood intake in childhood/adolescence and the risk of obesity: results from a Nationwide Cohort Study. Nutrition Journal. 23(1). 77–77. 3 indexed citations
3.
Zhuang, Pan, Ao Yang, Xiaohui Liu, et al.. (2024). Circulating fatty acids and risk of severe non-alcoholic fatty liver disease in the UK biobank: a prospective cohort of 116 223 individuals. Food & Function. 15(20). 10527–10538. 4 indexed citations
5.
Wan, Xuzhi, Ao Yang, Xiaohui Liu, et al.. (2024). Fried food consumption, genetic risk, and incident obesity: a prospective study. Food & Function. 15(5). 2760–2771. 2 indexed citations
6.
Huang, Yingyu, Xuzhi Wan, Xiaohui Liu, et al.. (2024). Assessing the Hypertension Risk: A Deep Dive into Cereal Consumption and Cooking Methods—Insights from China. Nutrients. 16(17). 3027–3027. 2 indexed citations
8.
Liu, Jingjing, Xishan Lu, Xingxing Li, et al.. (2023). Construction and immunogenicity of an mRNA vaccine against chikungunya virus. Frontiers in Immunology. 14. 1129118–1129118. 7 indexed citations
9.
Wan, Xuzhi, et al.. (2023). Potato consumption, polygenic scores, and incident type 2 diabetes: An observational study. Food Research International. 170. 112936–112936. 6 indexed citations
10.
Liu, Xiaohui, Yin Li, Ao Yang, et al.. (2023). Healthy dietary patterns and risk of cardiovascular disease in diabetic patients: a prospective cohort study. Food & Function. 14(18). 8604–8614. 1 indexed citations
11.
Liu, Xiaohui, Yin Li, Yuqi Wu, et al.. (2023). Circulating fatty acids, genetic risk, and incident coronary artery disease: A prospective, longitudinal cohort study. Science Advances. 9(38). eadf9037–eadf9037. 15 indexed citations
12.
Shen, Jia, Meihui Xu, Fei Wu, et al.. (2023). Association of egg consumption with colorectal polyp prevalence: findings from the Lanxi Pre-Colorectal Cancer Cohort (LP3C) in China. Food & Function. 14(6). 2597–2606. 4 indexed citations
13.
Wang, Anli, Xuzhi Wan, Pan Zhuang, et al.. (2023). High fried food consumption impacts anxiety and depression due to lipid metabolism disturbance and neuroinflammation. Proceedings of the National Academy of Sciences. 120(18). e2221097120–e2221097120. 67 indexed citations
14.
Zhuang, Pan, Fei Wu, Xiaohui Liu, et al.. (2023). Preserved vegetable consumption and its association with mortality among 440,415 people in the China Kadoorie Biobank. BMC Medicine. 21(1). 135–135. 9 indexed citations
15.
16.
Huang, Xiao, et al.. (2022). Association Analysis Between Different Diabetic Family History and Gender with Diagnosed Age of Type 2 Diabetes Mellitus: A Cross-Sectional Study in Tianjin, China. INQUIRY The Journal of Health Care Organization Provision and Financing. 59. 2856680092–2856680092. 4 indexed citations
17.
Wan, Xuzhi, Fanghuan Zhu, Pan Zhuang, et al.. (2022). Associations of Hemoglobin Adducts of Acrylamide and Glycidamide with Prevalent Metabolic Syndrome in a Nationwide Population-Based Study. Journal of Agricultural and Food Chemistry. 70(28). 8755–8766. 9 indexed citations
18.
Zhuang, Pan, Haoyu Li, Wei Jia, et al.. (2021). Eicosapentaenoic and docosahexaenoic acids attenuate hyperglycemia through the microbiome-gut-organs axis in db/db mice. Microbiome. 9(1). 185–185. 117 indexed citations
19.
Peng, Wenjuan, Yunyi Xie, Kuo Liu, et al.. (2020). Discrepant acute effect of saline loading on blood pressure, urinary sodium and potassium according to salt intake level: EpiSS study. Journal of Clinical Hypertension. 23(2). 289–300. 1 indexed citations
20.
Cai, Qingxian, Fengjuan Chen, Tao Wang, et al.. (2020). Obesity and COVID-19 Severity in a Designated Hospital in Shenzhen, China. Diabetes Care. 43(7). 1392–1398. 483 indexed citations breakdown →

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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