Yunjia Song

20 papers and 527 indexed citations i.

About

Yunjia Song is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Yunjia Song has authored 20 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 4 papers in Molecular Biology and 4 papers in Materials Chemistry. Recurrent topics in Yunjia Song’s work include Bone Tissue Engineering Materials (11 papers), Nanoplatforms for cancer theranostics (4 papers) and Orthopaedic implants and arthroplasty (4 papers). Yunjia Song is often cited by papers focused on Bone Tissue Engineering Materials (11 papers), Nanoplatforms for cancer theranostics (4 papers) and Orthopaedic implants and arthroplasty (4 papers). Yunjia Song collaborates with scholars based in China, Japan and Indonesia. Yunjia Song's co-authors include Changyi Li, Peng Yang, Ying Li, Xue Zhong, Xu Zhang, Jie Yang, Haorong Wang, Qian Wu, Fei Tao and Yuan Ha and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Antimicrobial Agents and Chemotherapy.

In The Last Decade

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

Fields of papers citing papers by Yunjia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunjia Song

Since Specialization
Citations

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