Wen Song

31 papers and 465 indexed citations i.

About

Wen Song is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wen Song has authored 31 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wen Song’s work include Cancer-related molecular mechanisms research (6 papers), Prostate Cancer Treatment and Research (4 papers) and RNA Research and Splicing (4 papers). Wen Song is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Prostate Cancer Treatment and Research (4 papers) and RNA Research and Splicing (4 papers). Wen Song collaborates with scholars based in China, Hong Kong and United States. Wen Song's co-authors include Tao Wang, Ning Gu, Ke Chen, Shaohua Xu, Jun Xie, Yu Zhang, Lina Song, Fengchao Zang, Caiyun Yan and Hailong Ruan and has published in prestigious journals such as PLoS ONE, Biomaterials and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Wen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wen Song

Since Specialization
Citations

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