Dezhi Song

37 papers and 610 indexed citations i.

About

Dezhi Song is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dezhi Song has authored 37 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Dezhi Song’s work include Bone Metabolism and Diseases (15 papers), Bone health and treatments (9 papers) and NF-κB Signaling Pathways (6 papers). Dezhi Song is often cited by papers focused on Bone Metabolism and Diseases (15 papers), Bone health and treatments (9 papers) and NF-κB Signaling Pathways (6 papers). Dezhi Song collaborates with scholars based in China, Australia and India. Dezhi Song's co-authors include Jiake Xu, Kai Chen, Jennifer Tickner, David Wood, Youqiang Sun, Shijie Liao, Heng Qiu, Xinli Zhan, Samuel Bennett and Zhen Cao and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Free Radical Biology and Medicine.

In The Last Decade

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

Fields of papers citing papers by Dezhi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dezhi Song

Since Specialization
Citations

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