Xuying Tan

921 total citations · 1 hit paper
19 papers, 702 citations indexed

About

Xuying Tan is a scholar working on Epidemiology, Rheumatology and Molecular Biology. According to data from OpenAlex, Xuying Tan has authored 19 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 5 papers in Rheumatology and 4 papers in Molecular Biology. Recurrent topics in Xuying Tan's work include Liver Disease Diagnosis and Treatment (8 papers), Folate and B Vitamins Research (5 papers) and Diet, Metabolism, and Disease (4 papers). Xuying Tan is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Folate and B Vitamins Research (5 papers) and Diet, Metabolism, and Disease (4 papers). Xuying Tan collaborates with scholars based in China, United Kingdom and United States. Xuying Tan's co-authors include Huilian Zhu, Lijun Wang, Wenhua Ling, Yu‐Ming Chen, Hongwei Zhang, Rui-dan Zheng, Cheng Wang, Xiaoling Chen, Yan Liu and Gong‐Cheng Liao and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Trends in Food Science & Technology.

In The Last Decade

Xuying Tan

18 papers receiving 699 citations

Hit Papers

Associations of gut-flora-dependent metabolite trimethyla... 2016 2026 2019 2022 2016 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Associations of gut-flora-dependent metabolite trimethylamine-N-oxide, betaine and choline with non-alcoholic fatty liver disease in adults
    2016 286 citations Yu‐Ming Chen, Yan Liu et al. Scientific Reports profile →

Peers

Xuying Tan
Hugo Villamil‐Ramírez Mexico
Lyudmyla Kedenko Austria
Eva Lau Portugal
Stuart Astbury United Kingdom
Jeanne Walker United States
Eva Juárez-Hernández Mexico
Angelo Armandi Italy
Elena Korsheninnikova Finland
Oriol Juanola Spain
Francesca Olivero Italy
Hugo Villamil‐Ramírez Mexico
Xuying Tan
Citations per year, relative to Xuying Tan Xuying Tan (= 1×) peers Hugo Villamil‐Ramírez

Countries citing papers authored by Xuying Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xuying Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuying Tan

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

All Works

19 of 19 papers shown
1.
2.
Huang, Qiaoli, Xuying Tan, Hangjun Chen, et al.. (2024). Lipid Accumulation Product is a Valid Predictor of Hepatic Steatosis and Nonalcoholic Fatty Liver Disease. Biomarkers in Medicine. 18(3). 123–135. 11 indexed citations
3.
Liang, Xiaoping, et al.. (2023). Maternal betaine supplementation ameliorates fatty liver disease in offspring mice by inhibiting hepatic NLRP3 inflammasome activation. Nutrition Research and Practice. 17(6). 1084–1084. 3 indexed citations
4.
Tan, Xuying, et al.. (2023). Maternal Betaine Supplementation Mitigates Maternal High Fat Diet-Induced NAFLD in Offspring Mice through Gut Microbiota. Nutrients. 15(2). 284–284. 22 indexed citations
5.
Tan, Xuying, Ting Zhang, Xuejiao Ding, et al.. (2023). Iron overload facilitates neonatal hypoxic–ischemic brain damage via SLC7A11‐mediated ferroptosis. Journal of Neuroscience Research. 101(7). 1107–1124. 11 indexed citations
6.
Chen, Hangjun, et al.. (2023). The effects of nutritional interventions in patients with non-alcoholic fatty liver disease: An umbrella review of meta-analyses of randomized controlled trials. Trends in Food Science & Technology. 141. 104138–104138. 1 indexed citations
7.
Li, Xiaolan, Xuying Tan, Ping Wang, et al.. (2022). Vitamin D suppresses ferroptosis and protects against neonatal hypoxic-ischemic encephalopathy by activating the Nrf2/HO-1 pathway. Translational Pediatrics. 11(10). 1633–1644. 21 indexed citations
8.
Li, Chunlei, Huicui Meng, Shangling Wu, et al.. (2021). Daily Supplementation With Whey, Soy, or Whey-Soy Blended Protein for 6 Months Maintained Lean Muscle Mass and Physical Performance in Older Adults With Low Lean Mass. Journal of the Academy of Nutrition and Dietetics. 121(6). 1035–1048.e6. 23 indexed citations
9.
Wang, Yaoyao, Sui Zhu, Hang Xu, et al.. (2021). Fruit consumption and multiple health outcomes: An umbrella review. Trends in Food Science & Technology. 118. 505–518. 19 indexed citations
10.
Hu, Yan, Xuying Tan, Yu Liu, et al.. (2020). Trends in urban/rural inequalities in physical growth among Chinese children over three decades of urbanization in Guangzhou: 1985–2015. BMC Public Health. 20(1). 1190–1190. 10 indexed citations
11.
Fang, Aiping, Daoming Zhang, Gong‐Cheng Liao, et al.. (2020). Serum choline is associated with hepatocellular carcinoma survival: a prospective cohort study. Nutrition & Metabolism. 17(1). 25–25. 14 indexed citations
12.
Hu, Yan, Jingjing Liang, Yanyan Song, et al.. (2020). Cohort protocol: Guangzhou High-Risk Infant Cohort study. BMJ Open. 10(10). e037829–e037829. 2 indexed citations
13.
Tan, Xuying, Yan Liu, Jing‐An Long, et al.. (2019). Trimethylamine N‐Oxide Aggravates Liver Steatosis through Modulation of Bile Acid Metabolism and Inhibition of Farnesoid X Receptor Signaling in Nonalcoholic Fatty Liver Disease. Molecular Nutrition & Food Research. 63(17). e1900257–e1900257. 166 indexed citations
14.
Lai, Zhiwei, Junliang Chen, Xingyi Chen, et al.. (2019). Association of Hepatic Global DNA Methylation and Serum One‐Carbon Metabolites with Histological Severity in Patients with NAFLD. Obesity. 28(1). 197–205. 40 indexed citations
15.
Tan, Xuying, QiJiong Li, Gong‐Cheng Liao, et al.. (2018). Trimethylamine N-oxide, a gut microbiota-dependent metabolite of choline, is positively associated with the risk of primary liver cancer: a case-control study. Nutrition & Metabolism. 15(1). 81–81. 53 indexed citations
16.
17.
Chen, Yu‐Ming, Yan Liu, Xiaoling Chen, et al.. (2016). Associations of gut-flora-dependent metabolite trimethylamine-N-oxide, betaine and choline with non-alcoholic fatty liver disease in adults. Scientific Reports. 6(1). 19076–19076. 286 indexed citations breakdown →
18.
Huang, Bixia, Yingying Zhu, Xuying Tan, et al.. (2016). Serum betaine is inversely associated with low lean mass mainly in men in a Chinese middle-aged and elderly community-dwelling population. British Journal Of Nutrition. 115(12). 2181–2188. 10 indexed citations
19.

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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