Chun Song

14 papers and 319 indexed citations i.

About

Chun Song is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Chun Song has authored 14 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Chun Song’s work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), S100 Proteins and Annexins (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Chun Song is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), S100 Proteins and Annexins (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). Chun Song collaborates with scholars based in Japan, Canada and China. Chun Song's co-authors include Shigefumi Fujimura, Tatsuo Tanita, Satoshi Suzuki, Sadafumi Ono, Toshiharu Tabata, Masafumi Noda, Yasushi Hoshikawa, Norbert F. Voelkel, Masayuki Chida and Yunfei Du and has published in prestigious journals such as Journal of Applied Physiology, European Respiratory Journal and Thorax.

In The Last Decade

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

Fields of papers citing papers by Chun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chun Song

Since Specialization
Citations

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