Laiqing Song

13 papers and 442 indexed citations i.

About

Laiqing Song is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Laiqing Song has authored 13 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 9 papers in Molecular Biology and 2 papers in Insect Science. Recurrent topics in Laiqing Song’s work include Plant Molecular Biology Research (9 papers), Plant Gene Expression Analysis (5 papers) and Plant nutrient uptake and metabolism (3 papers). Laiqing Song is often cited by papers focused on Plant Molecular Biology Research (9 papers), Plant Gene Expression Analysis (5 papers) and Plant nutrient uptake and metabolism (3 papers). Laiqing Song collaborates with scholars based in China and Poland. Laiqing Song's co-authors include Chun‐Xiang You, Xiao‐Fei Wang, Yu‐Jin Hao, Jian‐Ping An, Lingling Zhao, Yuanyuan Li, Xin Liu, Haohao Li, Ling Su and Rui Gao and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and International Journal of Molecular Sciences.

In The Last Decade

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

Fields of papers citing papers by Laiqing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laiqing Song

Since Specialization
Citations

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