Laijun Song

47 papers and 675 indexed citations i.

About

Laijun Song is a scholar working on Cancer Research, Molecular Biology and Neurology. According to data from OpenAlex, Laijun Song has authored 47 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 13 papers in Molecular Biology and 11 papers in Neurology. Recurrent topics in Laijun Song’s work include Glioma Diagnosis and Treatment (7 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (4 papers). Laijun Song is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (4 papers). Laijun Song collaborates with scholars based in China, United States and Canada. Laijun Song's co-authors include Fuyou Guo, Bo Yang, Yongli Lou, Xinbin Guo, Fangxia Guan, Xiang Hu, Xinting Wei, Xianzhi Liu, Jin Shi and Hui Zhang and has published in prestigious journals such as RSC Advances, Medicine and Neuroscience Letters.

In The Last Decade

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

Fields of papers citing papers by Laijun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laijun Song

Since Specialization
Citations

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