Cong-Ying Song

25 papers and 238 indexed citations i.

About

Cong-Ying Song is a scholar working on Surgery, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Cong-Ying Song has authored 25 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Infectious Diseases and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Cong-Ying Song’s work include SARS-CoV-2 and COVID-19 Research (5 papers), Body Composition Measurement Techniques (3 papers) and Nutrition and Health in Aging (3 papers). Cong-Ying Song is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Body Composition Measurement Techniques (3 papers) and Nutrition and Health in Aging (3 papers). Cong-Ying Song collaborates with scholars based in China, Sweden and United States. Cong-Ying Song's co-authors include Yuan‐Qiang Lu, Jianqin He, Jia Xu, Jia Xu, Junjie Xu, Li Li, Ying Wang, Xuan Lu, Jing Li and Ping Wang and has published in prestigious journals such as Scientific Reports, Chemosphere and Frontiers in Immunology.

In The Last Decade

Co-authorship network of co-authors of Cong-Ying Song i

Fields of papers citing papers by Cong-Ying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cong-Ying Song

Since Specialization
Citations

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