Xiaoming Yu

483 total citations
24 papers, 386 citations indexed

About

Xiaoming Yu is a scholar working on Physiology, Nutrition and Dietetics and Ecology. According to data from OpenAlex, Xiaoming Yu has authored 24 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Nutrition and Dietetics and 7 papers in Ecology. Recurrent topics in Xiaoming Yu's work include Fatty Acid Research and Health (9 papers), Physiological and biochemical adaptations (7 papers) and Diet and metabolism studies (6 papers). Xiaoming Yu is often cited by papers focused on Fatty Acid Research and Health (9 papers), Physiological and biochemical adaptations (7 papers) and Diet and metabolism studies (6 papers). Xiaoming Yu collaborates with scholars based in China, Portugal and India. Xiaoming Yu's co-authors include Yinghua Liu, Xue Chang-yong, Rongxin Zhang, Peidong Zhang, Xiumei Zhang, Michio Kasai, Jian Wu, T. AOYAMA, Naohisa Nosaka and Xinsheng Zhang and has published in prestigious journals such as Journal of Ethnopharmacology, Aquaculture and European Journal of Clinical Nutrition.

In The Last Decade

Xiaoming Yu

23 papers receiving 372 citations

Peers

Xiaoming Yu
Iren Stoknes Norway
James N. Sampayo United States
Joan M. Naughton Australia
M. Wirth Germany
Khomsorn Lomthaisong Thailand
G G Duthie United Kingdom
Marina Prisco Italy
Heng Yu China
Vahid Esmaeili Iran
R. D. Van Anholt Netherlands
Iren Stoknes Norway
Xiaoming Yu
Citations per year, relative to Xiaoming Yu Xiaoming Yu (= 1×) peers Iren Stoknes

Countries citing papers authored by Xiaoming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Yu. A scholar is included among the top collaborators of Xiaoming Yu 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 Xiaoming Yu. Xiaoming Yu 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.
Yu, Xiaoming, Jun Wang, Zhijun Chen, et al.. (2025). Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines. Energies. 18(10). 2535–2535.
2.
Yu, Xiaoming, et al.. (2024). Shenling Baizhu San improves spermatogenic dysfunction in hyperuricemia mice by regulating Sirt3/Nrf2 to inhibit testicular ferroptosis. Journal of Ethnopharmacology. 340. 119310–119310. 2 indexed citations
3.
4.
Yu, Xiaoming, Rodrigo O. A. Ozório, & Leonardo J. Magnoni. (2021). Sustained swimming exercise training decreases the individual variation in the metabolic phenotype of gilthead sea bream (Sparus aurata). Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 262. 111077–111077. 4 indexed citations
5.
Yin, Leiming, Lei Chen, Maolin Wang, Hongquan Li, & Xiaoming Yu. (2020). An acute increase in water temperature can decrease the swimming performance and energy utilization efficiency in rainbow trout (Oncorhynchus mykiss). Fish Physiology and Biochemistry. 47(1). 109–120. 4 indexed citations
6.
Zhang, Xinsheng, Yinghua Liu, Qing Xu, et al.. (2019). The effect of soy isoflavone combined with calcium on bone mineral density in perimenopausal Chinese women: a 6-month randomised double-blind placebo-controlled study. International Journal of Food Sciences and Nutrition. 71(4). 473–481. 20 indexed citations
7.
Yu, Xiaoming, et al.. (2017). Effects of acute temperature and salinity changes, body length and starvation on the critical swimming speed of juvenile tiger puffer, Takifugu rubripes. Fish Physiology and Biochemistry. 44(1). 311–318. 11 indexed citations
8.
Zhang, Xinsheng, Yong Zhang, Yinghua Liu, et al.. (2016). Medium-chain triglycerides promote macrophage reverse cholesterol transport and improve atherosclerosis in ApoE-deficient mice fed a high-fat diet. Nutrition Research. 36(9). 964–973. 27 indexed citations
9.
Yu, Xiaoming, et al.. (2015). Effects of Crude Oil and Dispersed Crude Oil on the Critical Swimming Speed of Puffer Fish, Takifugu rubripes. Bulletin of Environmental Contamination and Toxicology. 94(5). 549–553. 10 indexed citations
10.
Wang, Yu, Mei Yuan, Li Zhang, et al.. (2014). Effect of Cervus and Cucumis Peptides on Osteoblast Activity and Fracture Healing in Osteoporotic Bone. Evidence-based Complementary and Alternative Medicine. 2014(1). 958908–958908. 6 indexed citations
11.
Xu, Qing, Xue Chang-yong, Yinghua Liu, et al.. (2013). Medium-Chain Fatty Acids Enhanced the Excretion of Fecal Cholesterol and Cholic Acid in C57BL/6J Mice Fed a Cholesterol-Rich Diet. Bioscience Biotechnology and Biochemistry. 77(7). 1390–1396. 23 indexed citations
12.
Zhang, Yong, Qing Xu, Ruisheng Li, et al.. (2013). [Effects of oils on lipid metabolism in obese C57BL/6J mice induced by a high fat diet].. PubMed. 42(6). 901–6, 914. 1 indexed citations
13.
Liu, Yinghua, Jin Wang, Rongxin Zhang, et al.. (2011). Micronutrients decrease incidence of common infections in type 2 diabetic outpatients.. PubMed. 20(3). 375–82. 14 indexed citations
14.
Liu, Yinghua, Xue Chang-yong, Yong Zhang, et al.. (2011). Triglyceride with Medium-Chain Fatty Acids Increases the Activity and Expression of Hormone-Sensitive Lipase in White Adipose Tissue of C57BL/6J Mice. Bioscience Biotechnology and Biochemistry. 75(10). 1939–1944. 24 indexed citations
15.
Yu, Xiaoming, et al.. (2010). Effects of temperature, salinity, body length, and starvation on the critical swimming speed of whiteleg shrimp, Litopenaeus vannamei. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 157(4). 392–397. 26 indexed citations
16.
17.
Yu, Xiaoming, et al.. (2009). Swimming ability and physiological response to swimming fatigue in kuruma shrimp, Marsupenaeus japonicus. AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(7). 1316–1321. 7 indexed citations
18.
Chang-yong, Xue, Yinghua Liu, Jin Wang, et al.. (2009). Chinese Hypertriglycerideamic Subjects of Different Ages Responded Differently to Consuming Oil with Medium- and Long-Chain Fatty Acids. Bioscience Biotechnology and Biochemistry. 73(8). 1711–1717. 19 indexed citations
19.
Xue, Changhu, Jinyang Wang, Y Zhang, et al.. (2009). Consumption of medium- and long-chain triacylglycerols decreases body fat and blood triglyceride in Chinese hypertriglyceridemic subjects. European Journal of Clinical Nutrition. 63(7). 879–886. 61 indexed citations
20.
Yu, Xiaoming, et al.. (2009). Critical swimming speed, tail-flip speed and physiological response to exercise fatigue in kuruma shrimp, Marsupenaeus japonicus. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 153(2). 120–124. 26 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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