Jun Song

64 papers and 1.5k indexed citations i.

About

Jun Song is a scholar working on Biomaterials, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Jun Song has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomaterials, 24 papers in Biomedical Engineering and 10 papers in Organic Chemistry. Recurrent topics in Jun Song’s work include Advanced Cellulose Research Studies (16 papers), Electrospun Nanofibers in Biomedical Applications (15 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). Jun Song is often cited by papers focused on Advanced Cellulose Research Studies (16 papers), Electrospun Nanofibers in Biomedical Applications (15 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). Jun Song collaborates with scholars based in China, United Kingdom and Germany. Jun Song's co-authors include Bowen Cheng, Pengfei Fei, Jiashen Li, Dierk Raabe, Aleksander Kostka, Liang Liao, Fei Lu, Zihan Lu, Jinmin Meng and Hongjun Zang and has published in prestigious journals such as Chemical Reviews, The Journal of Chemical Physics and ACS Nano.

In The Last Decade

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

Fields of papers citing papers by Jun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Song

Since Specialization
Citations

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