Kun Song

156 papers and 1.9k indexed citations i.

About

Kun Song is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Materials Chemistry. According to data from OpenAlex, Kun Song has authored 156 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 25 papers in Oncology and 23 papers in Materials Chemistry. Recurrent topics in Kun Song’s work include Endometrial and Cervical Cancer Treatments (19 papers), Nanoplatforms for cancer theranostics (15 papers) and Ovarian cancer diagnosis and treatment (15 papers). Kun Song is often cited by papers focused on Endometrial and Cervical Cancer Treatments (19 papers), Nanoplatforms for cancer theranostics (15 papers) and Ovarian cancer diagnosis and treatment (15 papers). Kun Song collaborates with scholars based in China, United States and Canada. Kun Song's co-authors include Beihua Kong, Jun Ding, Shiqing Lu, Qifeng Yang, Cunzhong Yuan, James Z. Xing, Beihua Kong, Feng Geng, Yan Shi and Xuantao Su and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

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

Fields of papers citing papers by Kun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Song

Since Specialization
Citations

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