Ming Song

88 papers and 2.1k indexed citations
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About

Ming Song is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Ming Song has authored 88 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Epidemiology, 27 papers in Molecular Biology and 18 papers in Physiology. Recurrent topics in Ming Song’s work include Liver Disease Diagnosis and Treatment (26 papers), Diet, Metabolism, and Disease (14 papers) and Diet and metabolism studies (14 papers). Ming Song is often cited by papers focused on Liver Disease Diagnosis and Treatment (26 papers), Diet, Metabolism, and Disease (14 papers) and Diet and metabolism studies (14 papers). Ming Song collaborates with scholars based in China, United States and South Korea. Ming Song's co-authors include Craig J. McClain, Theresa Chen, Zhenyuan Song, Ion V. Deaciuc, Zhanxiang Zhou, Matthew C. Cave, Seokjoong Kim, Hyun Chul Koh, Jinu Lee and Hui Kwon Kim and has published in prestigious journals such as The Journal of Immunology, Gastroenterology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Ming Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Song. A scholar is included among the top collaborators of Ming 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 Ming Song. Ming Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Ming Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Song

Since Specialization
Citations

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

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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