Xiaoling Song

156 total papers · 5.8k total citations
102 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 102 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 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 (41 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 (41 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 Germany. 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, Eric B. Rimm, Gökhan S. Hotamışlıgil 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaoling Song 1.6k 1.2k 1.1k 1.0k 632 102 4.3k
Guillermo T. Sáez 1.2k 0.8× 1.2k 1.0× 1.5k 1.4× 1.3k 1.2× 459 0.7× 132 5.9k
Nirupa R. Matthan 1.4k 0.9× 913 0.8× 978 0.9× 608 0.6× 478 0.8× 127 3.8k
Aleix Sala‐Vila 1.4k 0.9× 1.4k 1.2× 758 0.7× 1.2k 1.2× 534 0.8× 119 4.1k
Marika Massaro 1.1k 0.7× 714 0.6× 1.0k 0.9× 652 0.7× 437 0.7× 97 5.0k
Lynne M. Ausman 1.8k 1.1× 891 0.7× 624 0.6× 717 0.7× 497 0.8× 85 3.8k
Rudolph A. Riemersma 2.7k 1.7× 990 0.8× 1.2k 1.1× 1.2k 1.1× 729 1.2× 83 7.5k
Ju‐Sheng Zheng 996 0.6× 1.4k 1.2× 1.6k 1.4× 1.4k 1.4× 503 0.8× 134 4.7k
C. Murray Skeaff 2.2k 1.4× 1.6k 1.4× 672 0.6× 1.8k 1.8× 430 0.7× 96 5.7k
Vanessa D. de Mello 800 0.5× 1.2k 1.0× 1.6k 1.4× 628 0.6× 621 1.0× 85 3.7k
Carmen Marı́n 916 0.6× 1.3k 1.1× 857 0.8× 916 0.9× 638 1.0× 110 3.9k

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026