Xiaoling Song

5.8k total citations
103 papers, 4.3k citations indexed

About

Xiaoling Song is a scholar working on Nutrition and Dietetics, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Xiaoling Song has authored 103 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Nutrition and Dietetics, 31 papers in Public Health, Environmental and Occupational Health and 27 papers in Physiology. Recurrent topics in Xiaoling Song's work include Fatty Acid Research and Health (42 papers), Nutritional Studies and Diet (27 papers) and Diet and metabolism studies (21 papers). Xiaoling Song is often cited by papers focused on Fatty Acid Research and Health (42 papers), Nutritional Studies and Diet (27 papers) and Diet and metabolism studies (21 papers). Xiaoling Song collaborates with scholars based in United States, South Africa and United Kingdom. Xiaoling Song's co-authors include Irena B. King, Dariush Mozaffarian, Rozenn N. Lemaître, David S. Siscovick, Marian L. Neuhouser, Johanna W. Lampe, Jason Wu, Gökhan S. Hotamışlıgil, Eric B. Rimm and Frank M. Sacks and has published in prestigious journals such as Circulation, Blood and Annals of Internal Medicine.

In The Last Decade

Xiaoling Song

99 papers receiving 4.2k citations

Peers

Xiaoling Song
Xiaoling Song
Citations per year, relative to Xiaoling Song Xiaoling Song (= 1×) peers Guillermo T. Sáez

Countries citing papers authored by Xiaoling Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Song. A scholar is included among the top collaborators of Xiaoling Song 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 Xiaoling Song. Xiaoling Song 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.
Song, Xiaoling, Sandi L. Navarro, Sowmya Vasan, et al.. (2026). Biomarkers for dietary fatty acid densities among postmenopausal United States females derived using a habitual-diet human feeding study. American Journal of Clinical Nutrition. 123(3). 101197–101197.
2.
Shasha, Carolyn, David R. Glass, Laura Islas, et al.. (2025). Hallmarks of T-cell exhaustion and antigen experience are absent in multiple myeloma from diagnosis to maintenance therapy. Blood. 145(26). 3113–3123. 2 indexed citations
4.
Jiao, Jingjing, Xiaoling Song, Ying Wang, et al.. (2021). A Novel Biomarker Panel for the Early Detection and Risk Assessment of Hepatocellular Carcinoma in Patients with Cirrhosis. Cancer Prevention Research. 14(6). 667–674. 15 indexed citations
5.
Torkko, Kathleen C., Cathee Till, Catherine M. Tangen, et al.. (2020). Vitamin D Pathway and Other Related Polymorphisms and Risk of Prostate Cancer: Results from the Prostate Cancer Prevention Trial. Cancer Prevention Research. 13(6). 521–530. 4 indexed citations
6.
Curtis, Keith R., Emily White, Polly A. Newcomb, et al.. (2018). Association of gut microbial communities with plasma lipopolysaccharide-binding protein (LBP) in premenopausal women. The ISME Journal. 12(7). 1631–1641. 39 indexed citations
7.
Cheng, Ting‐Yuan David, Xiaoling Song, Shirley A.A. Beresford, et al.. (2017). Serum 25-hydroxyvitamin D concentrations and lung cancer risk in never-smoking postmenopausal women. Cancer Causes & Control. 28(10). 1053–1063. 6 indexed citations
8.
Yoo, Wonbeak, Heather L. Stevenson, Xiaoling Song, et al.. (2017). Fatty acids in non-alcoholic steatohepatitis: Focus on pentadecanoic acid. PLoS ONE. 12(12). e0189965–e0189965. 49 indexed citations
9.
Song, Xiaoling, Ying Huang, Marian L. Neuhouser, et al.. (2017). Dietary long-chain fatty acids and carbohydrate biomarker evaluation in a controlled feeding study in participants from the Women’s Health Initiative cohort ,. American Journal of Clinical Nutrition. 105(6). 1272–1282. 23 indexed citations
10.
Akintoye, Emmanuel, Jason Wu, Tao Hou, et al.. (2016). Effect of fish oil on monoepoxides derived from fatty acids during cardiac surgery. Journal of Lipid Research. 57(3). 492–498. 9 indexed citations
11.
Nash, Sarah H., Jeannette M. Schenk, Alan R. Kristal, et al.. (2015). Association between Serum Phospholipid Fatty Acids and Intraprostatic Inflammation in the Placebo Arm of the Prostate Cancer Prevention Trial. Cancer Prevention Research. 8(7). 590–596. 8 indexed citations
12.
Harris, Tamara B., Xiaoling Song, Ilse Reinders, et al.. (2015). Plasma phospholipid fatty acids and fish-oil consumption in relation to osteoporotic fracture risk in older adults: the Age, Gene/Environment Susceptibility Study. American Journal of Clinical Nutrition. 101(5). 947–955. 25 indexed citations
13.
Albanes, Demetrius, Cathee Till, Eric A. Klein, et al.. (2014). Plasma Tocopherols and Risk of Prostate Cancer in the Selenium and Vitamin E Cancer Prevention Trial (SELECT). Cancer Prevention Research. 7(9). 886–895. 49 indexed citations
14.
Kantor, Elizabeth D., Johanna W. Lampe, Sandi L. Navarro, et al.. (2014). Associations Between Glucosamine and Chondroitin Supplement Use and Biomarkers of Systemic Inflammation. The Journal of Alternative and Complementary Medicine. 20(6). 479–485. 42 indexed citations
15.
Reinders, Ilse, Xiaoling Song, Marjolein Visser, et al.. (2014). Plasma Phospholipid PUFAs Are Associated with Greater Muscle and Knee Extension Strength but Not with Changes in Muscle Parameters in Older Adults. Journal of Nutrition. 145(1). 105–112. 51 indexed citations
16.
Hardikar, Sheetal, Xiaoling Song, Mario Kratz, et al.. (2014). Intraindividual variability over time in plasma biomarkers of inflammation and effects of long-term storage. Cancer Causes & Control. 25(8). 969–976. 30 indexed citations
17.
Muir, Kyle, Antonious Hazim, Ying He, et al.. (2013). Proteomic and Lipidomic Signatures of Lipid Metabolism in NASH-Associated Hepatocellular Carcinoma. Cancer Research. 73(15). 4722–4731. 134 indexed citations
18.
Miller, Joshua W., Shirley A.A. Beresford, Marian L. Neuhouser, et al.. (2013). Homocysteine, cysteine, and risk of incident colorectal cancer in the Women’s Health Initiative observational cohort. American Journal of Clinical Nutrition. 97(4). 827–834. 71 indexed citations
19.
Imamura, Fumiaki, Rozenn N. Lemaître, Irena B. King, et al.. (2012). Novel circulating fatty acid patterns and risk of cardiovascular disease: the Cardiovascular Health Study. American Journal of Clinical Nutrition. 96(6). 1252–1261. 21 indexed citations
20.
Takata, Yumie, Alan R. Kristal, Irena B. King, et al.. (2011). Serum Selenium, Genetic Variation in Selenoenzymes, and Risk of Colorectal Cancer: Primary Analysis from the Women's Health Initiative Observational Study and Meta-analysis. Cancer Epidemiology Biomarkers & Prevention. 20(9). 1822–1830. 25 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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