Yun Song

48 papers and 1.1k indexed citations i.

About

Yun Song is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Yun Song has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Physiology. Recurrent topics in Yun Song’s work include Asthma and respiratory diseases (5 papers), Cannabis and Cannabinoid Research (5 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Yun Song is often cited by papers focused on Asthma and respiratory diseases (5 papers), Cannabis and Cannabinoid Research (5 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Yun Song collaborates with scholars based in China, South Korea and United States. Yun Song's co-authors include Yi Guo, Cuijun Zhang, Lihong Tian, Lei Zhang, Jun-Feng Zhao, Yafang Zhang, Lihua Chen, N L Esmon, Charles T. Esmon and Byeong Hwa Jeon and has published in prestigious journals such as Journal of Clinical Oncology, PLANT PHYSIOLOGY and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Yun Song i

Fields of papers citing papers by Yun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Song

Since Specialization
Citations

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