Dandan Song

88 papers and 1.6k indexed citations i.

About

Dandan Song is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Dandan Song has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 24 papers in Cancer Research and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Dandan Song’s work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (9 papers) and Cardiac Ischemia and Reperfusion (6 papers). Dandan Song is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (9 papers) and Cardiac Ischemia and Reperfusion (6 papers). Dandan Song collaborates with scholars based in China, United States and Japan. Dandan Song's co-authors include Youyou Yan, Tianqi Tao, Xiuhua Liu, Yongkui Jing, Li Li, Xiuling Song, Kun Xu, Juan Li, Juan Wang and Chao Zhao and has published in prestigious journals such as Cancer Research, Analytical Biochemistry and Oncogene.

In The Last Decade

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

Fields of papers citing papers by Dandan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dandan Song

Since Specialization
Citations

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