Songquan Song

76 papers and 1.2k indexed citations i.

About

Songquan Song is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Songquan Song has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Plant Science, 30 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Songquan Song’s work include Seed Germination and Physiology (55 papers), Plant tissue culture and regeneration (22 papers) and Plant Stress Responses and Tolerance (22 papers). Songquan Song is often cited by papers focused on Seed Germination and Physiology (55 papers), Plant tissue culture and regeneration (22 papers) and Plant Stress Responses and Tolerance (22 papers). Songquan Song collaborates with scholars based in China, Denmark and United States. Songquan Song's co-authors include Ian Max Møller, Wei‐Qing Wang, Hongyan Cheng, Shu‐Jun Liu, Bin Wen, Hui Huang, Ruling Wang, Weiping Wang, Shujun Liu and Zeng‐Fu Xu and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Songquan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songquan Song

Since Specialization
Citations

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