Song Qin

402 papers and 9.5k indexed citations i.

About

Song Qin is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Oceanography. According to data from OpenAlex, Song Qin has authored 402 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Molecular Biology, 111 papers in Renewable Energy, Sustainability and the Environment and 61 papers in Oceanography. Recurrent topics in Song Qin’s work include Algal biology and biofuel production (108 papers), Photosynthetic Processes and Mechanisms (77 papers) and Marine and coastal plant biology (42 papers). Song Qin is often cited by papers focused on Algal biology and biofuel production (108 papers), Photosynthetic Processes and Mechanisms (77 papers) and Marine and coastal plant biology (42 papers). Song Qin collaborates with scholars based in China, United States and Germany. Song Qin's co-authors include Peng Jiang, Guosheng Cheng, Mingliang Tang, Wenjun Li, Limeng Zhu, Hanzhi Lin, Yulin Cui, Lili Li, Qi Zhang and Ning Li and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Song Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Qin

Since Specialization
Citations

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