Song Peng

46 papers and 842 indexed citations i.

About

Song Peng is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Song Peng has authored 46 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Biomedical Engineering and 10 papers in Surgery. Recurrent topics in Song Peng’s work include Uterine Myomas and Treatments (8 papers), Endometriosis Research and Treatment (7 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Song Peng is often cited by papers focused on Uterine Myomas and Treatments (8 papers), Endometriosis Research and Treatment (7 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Song Peng collaborates with scholars based in China, Germany and United States. Song Peng's co-authors include Lian Zhang, Wen-Zhi Chen, Kequan Li, Zhibiao Wang, Jinyun Chen, Liang Hu, Bingyuan Guo, Hai‐Chen Wu, Wenzhi Chen and Li Chen and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Nanotechnology and Analytical Chemistry.

In The Last Decade

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

Fields of papers citing papers by Song Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Peng

Since Specialization
Citations

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