Dianwen Song

88 papers and 1.9k indexed citations i.

About

Dianwen Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Dianwen Song has authored 88 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 25 papers in Pulmonary and Respiratory Medicine and 23 papers in Surgery. Recurrent topics in Dianwen Song’s work include Bone Tumor Diagnosis and Treatments (14 papers), Sarcoma Diagnosis and Treatment (13 papers) and Cancer-related molecular mechanisms research (10 papers). Dianwen Song is often cited by papers focused on Bone Tumor Diagnosis and Treatments (14 papers), Sarcoma Diagnosis and Treatment (13 papers) and Cancer-related molecular mechanisms research (10 papers). Dianwen Song collaborates with scholars based in China, United States and Hong Kong. Dianwen Song's co-authors include Huabin Yin, Tong Meng, Jianru Xiao, Wangjun Yan, Xinghai Yang, Lianshun Jia, Lingbin Che, Zhipeng Wu, Runzhi Huang and Jiajia Chen and has published in prestigious journals such as PLoS ONE, Biomaterials and Advanced Functional Materials.

In The Last Decade

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

Fields of papers citing papers by Dianwen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dianwen Song

Since Specialization
Citations

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