Yixiang Su

1.5k total citations
49 papers, 1.1k citations indexed

About

Yixiang Su is a scholar working on Nutrition and Dietetics, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yixiang Su has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nutrition and Dietetics, 13 papers in Pathology and Forensic Medicine and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yixiang Su's work include Fatty Acid Research and Health (18 papers), Nutritional Studies and Diet (10 papers) and Bone health and osteoporosis research (9 papers). Yixiang Su is often cited by papers focused on Fatty Acid Research and Health (18 papers), Nutritional Studies and Diet (10 papers) and Bone health and osteoporosis research (9 papers). Yixiang Su collaborates with scholars based in China, United States and Hong Kong. Yixiang Su's co-authors include Yu‐Ming Chen, Chaogang Chen, Zheqing Zhang, Cai‐Xia Zhang, HE Li-ping, Yanbin Ye, Quan Zhou, Ping Wang, Weiqing Chen and William Kwame Amakye and has published in prestigious journals such as PLoS ONE, Scientific Reports and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Yixiang Su

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yixiang Su China 22 417 339 251 227 194 49 1.1k
Abdullah M. Alnaami Saudi Arabia 19 195 0.5× 198 0.6× 244 1.0× 260 1.1× 173 0.9× 64 1.0k
Angelika Friedel Germany 11 315 0.8× 192 0.6× 672 2.7× 166 0.7× 138 0.7× 12 1.1k
Xu Lin China 12 222 0.5× 218 0.6× 442 1.8× 323 1.4× 83 0.4× 14 1.2k
Maryam Karamali Iran 26 298 0.7× 360 1.1× 294 1.2× 168 0.7× 111 0.6× 39 1.4k
Demetrius Albanes United States 16 154 0.4× 238 0.7× 330 1.3× 148 0.7× 71 0.4× 26 1.0k
Nahomi Imaeda Japan 18 504 1.2× 620 1.8× 181 0.7× 347 1.5× 96 0.5× 37 1.3k
Anna Vitezova Netherlands 11 276 0.7× 205 0.6× 579 2.3× 162 0.7× 61 0.3× 12 913
MJ Stampfer United States 11 542 1.3× 454 1.3× 86 0.3× 298 1.3× 123 0.6× 11 1.5k
Pablo Hernández‐Alonso Spain 24 466 1.1× 413 1.2× 104 0.4× 469 2.1× 114 0.6× 36 1.4k
Erik Gertz United States 16 215 0.5× 131 0.4× 147 0.6× 296 1.3× 50 0.3× 44 879

Countries citing papers authored by Yixiang Su

Since Specialization
Citations

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

Fields of papers citing papers by Yixiang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yixiang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yixiang Su. A scholar is included among the top collaborators of Yixiang Su 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 Yixiang Su. Yixiang Su 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.
Zhang, Zheqing, Yingyao Wang, Xiaoguang Yang, et al.. (2022). Human Milk Lipid Profiles around the World: A Systematic Review and Meta-Analysis. Advances in Nutrition. 13(6). 2519–2536. 27 indexed citations
2.
Zhang, Cai‐Xia, Jianqiang Lai, Kai‐Yan Liu, et al.. (2021). Optimal gestational weight gain in Chinese pregnant women by Chinese-specific BMI categories: a multicentre prospective cohort study. Public Health Nutrition. 24(11). 3210–3220. 16 indexed citations
3.
Wei, Yuanhuan, Jingjing Liang, Yixiang Su, et al.. (2020). The associations of the gut microbiome composition and short-chain fatty acid concentrations with body fat distribution in children. Clinical Nutrition. 40(5). 3379–3390. 52 indexed citations
4.
Su, Yixiang, Kevin W.H. Kwok, Hing Man Chan, et al.. (2019). Positive relationship between consumption of specific fish type andn-3 PUFA in milk of Hong Kong lactating mothers. British Journal Of Nutrition. 121(12). 1431–1440. 12 indexed citations
5.
Zhou, Quan, Zheqing Zhang, Ping Wang, et al.. (2019). EPA+DHA, but not ALA, Improved Lipids and Inflammation Status in Hypercholesterolemic Adults: A Randomized, Double‐Blind, Placebo‐Controlled Trial. Molecular Nutrition & Food Research. 63(10). e1801157–e1801157. 28 indexed citations
6.
Dai, Xiaowei, et al.. (2015). Association between n-3 polyunsaturated fatty acids in erythrocytes and metabolic syndrome in Chinese men and women. European Journal of Nutrition. 55(3). 981–989. 23 indexed citations
7.
8.
9.
Li-ping, HE, Xiaoyan Xie, Wenhua Ling, et al.. (2014). Association of Simple Anthropometric Indices and Body Fat with Early Atherosclerosis and Lipid Profiles in Chinese Adults. PLoS ONE. 9(8). e104361–e104361. 13 indexed citations
10.
Koletzko, Berthold, Christopher Chiong Meng Boey, Cristina Campoy, et al.. (2014). Current Information and Asian Perspectives on Long-Chain Polyunsaturated Fatty Acids in Pregnancy, Lactation, and Infancy: Systematic Review and Practice Recommendations from an Early Nutrition Academy Workshop. Annals of Nutrition and Metabolism. 65(1). 49–80. 121 indexed citations
11.
Liu, Yanhua, Ying Xu, Xiaowei Dai, et al.. (2013). The validity of the body adiposity index in predicting percentage body fat and cardiovascular risk factors among Chinese. Clinical Endocrinology. 81(3). 356–362. 22 indexed citations
12.
Dai, Xiaowei, Bo Zhang, Ping Wang, et al.. (2013). Erythrocyte membrane n-3 fatty acid levels and carotid atherosclerosis in Chinese men and women. Atherosclerosis. 232(1). 79–85. 27 indexed citations
13.
Liu, Yanhua, Ying Xu, Wenhua Ling, et al.. (2013). Association of Weight-Adjusted Body Fat and Fat Distribution with Bone Mineral Density in Middle-Aged Chinese Adults: A Cross-Sectional Study. PLoS ONE. 8(5). e63339–e63339. 43 indexed citations
14.
Li, Jingjing, Zhenwu Huang, Xiaoming Ma, et al.. (2012). Fruit and vegetable intake and bone mass in Chinese adolescents, young and postmenopausal women. Public Health Nutrition. 16(1). 78–86. 36 indexed citations
15.
Cai, Yun, Chaogang Chen, Ping Wang, et al.. (2012). Soya isoflavone consumption in relation to carotid intima–media thickness in Chinese equol excretors aged 40–65 years. British Journal Of Nutrition. 108(9). 1698–1704. 24 indexed citations
16.
Ye, Yanbin, Zilian Wang, Shuyu Zhuo, et al.. (2012). Soy germ isoflavones improve menopausal symptoms but have no effect on blood lipids in early postmenopausal Chinese women. Menopause The Journal of The North American Menopause Society. 19(7). 791–798. 40 indexed citations
17.
Zhang, Bo, Chaogang Chen, Shigeto Uchiyama, et al.. (2010). Daidzein-metabolising phenotypes in relation to serum lipids and uric acid in adults in Guangzhou, China. British Journal Of Nutrition. 104(1). 118–124. 27 indexed citations
18.
Qiu, Ling, et al.. (2009). Effect of milk and calcium supplementation on bone density and bone turnover in pregnant Chinese women: a randomized controlled trail. Archives of Gynecology and Obstetrics. 283(2). 205–211. 27 indexed citations
19.
Xing, Li, et al.. (2008). Interaction of interleukin-6 and estrogen receptor gene polymorphisms on bone mass accrual in Chinese adolescent girls. Journal of Bone and Mineral Metabolism. 26(5). 493–498. 5 indexed citations
20.

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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