Jingwen Song

65 papers and 2.1k indexed citations i.

About

Jingwen Song is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Jingwen Song has authored 65 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Materials Chemistry and 17 papers in Biomedical Engineering. Recurrent topics in Jingwen Song’s work include Supramolecular Self-Assembly in Materials (10 papers), Fullerene Chemistry and Applications (7 papers) and 3D Printing in Biomedical Research (5 papers). Jingwen Song is often cited by papers focused on Supramolecular Self-Assembly in Materials (10 papers), Fullerene Chemistry and Applications (7 papers) and 3D Printing in Biomedical Research (5 papers). Jingwen Song collaborates with scholars based in China, Japan and United States. Jingwen Song's co-authors include Katsuhiko Ariga, Ruirui Xing, Xuehai Yan, Chengqian Yuan, Junbai Li, Xiaofang Jia, Tifeng Jiao, Shukun Li, Jonathan P. Hill and Xianxian Zhao and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Jingwen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jingwen Song

Since Specialization
Citations

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