Xiaoling Song

99 papers receiving 4.2k citations

Peers

Xiaoling Song
Comparison fields: 5 of 134
  • Nutrition and Dietetics 1.6k
  • Biochemistry 472
  • Physiology 1.2k
  • Endocrinology, Diabetes and Metabolism 627
  • Public Health, Environmental and Occupational Health 1.0k
Replace Nirupa R. Matthan with:
Nirupa R. Matthan United States
Carla G. Taylor Canada
Edgard Delvin Canada
Guillermo T. Sáez Spain
Michel de Lorgeril France
Irena B. King United States
Vanessa D. de Mello Finland
Stine M. Ulven Norway
Francine K. Welty United States
Jan I. Pedersen Norway
Xiaoling Song relative to Nirupa R. Matthan United States Nirupa R. Matthan's profile →
Citations per field
00.5×4.5×
Nirupa R. Matthan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaoling Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoling Song Line = papers co-authored together Xiaoling Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010261
2 2013225
3 2013196
4 2010168
5 2014149
6 2013134
7 2014132
8 2012110
9 201596
10 201192
11 201191
12 201478
13 201474
14 201674
15 201074
16 201474
17 201272
18 201371
19 201263
20 201162

About Xiaoling Song

Xiaoling Song is a scholar working on Nutrition and Dietetics, Public Health, Environmental and Occupational Health, Physiology, Epidemiology and Molecular Biology, having authored 103 papers that have together received 4.3k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (42 papers), Nutritional Studies and Diet (27 papers), Diet and metabolism studies (21 papers), Liver Disease Diagnosis and Treatment (18 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Diet, Metabolism, and Disease (9 papers), Cancer, Lipids, and Metabolism (8 papers) and Alcohol Consumption and Health Effects (8 papers). The work is most often cited by research in Nutrition and Dietetics (1.6k citations), Biochemistry (472 citations), Physiology (1.2k citations), Endocrinology, Diabetes and Metabolism (627 citations) and Public Health, Environmental and Occupational Health (1.0k citations). Xiaoling Song has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent 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. Their work appears in journals such as American Journal of Clinical Nutrition, Cancer Epidemiology Biomarkers & Prevention, Journal of Nutrition, Circulation and Journal of the American Heart Association.

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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