Wei-Qi Song

29 papers and 467 indexed citations i.

About

Wei-Qi Song is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wei-Qi Song has authored 29 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wei-Qi Song’s work include Nutritional Studies and Diet (4 papers), Nutrition and Health in Aging (4 papers) and COVID-19 epidemiological studies (4 papers). Wei-Qi Song is often cited by papers focused on Nutritional Studies and Diet (4 papers), Nutrition and Health in Aging (4 papers) and COVID-19 epidemiological studies (4 papers). Wei-Qi Song collaborates with scholars based in China, United States and Hong Kong. Wei-Qi Song's co-authors include Lian Jin, Hongyan Dai, Ping Sun, Guo Chen, Zhihao Li, Chen Mao, Dan Liu, Xiru Zhang, Qingmei Huang and Dong Shen and has published in prestigious journals such as The Journal of Cell Biology, Annals of Internal Medicine and American Journal of Clinical Nutrition.

In The Last Decade

Co-authorship network of co-authors of Wei-Qi Song i

Fields of papers citing papers by Wei-Qi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei-Qi Song

Since Specialization
Citations

This map shows the geographic impact of Wei-Qi 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 Wei-Qi Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Qi 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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2025