Lian-Fen Song

6 papers and 928 indexed citations i.

About

Lian-Fen Song is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Lian-Fen Song has authored 6 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Molecular Biology and 2 papers in Biochemistry. Recurrent topics in Lian-Fen Song’s work include Plant Molecular Biology Research (4 papers), Plant nutrient uptake and metabolism (3 papers) and Plant Reproductive Biology (2 papers). Lian-Fen Song is often cited by papers focused on Plant Molecular Biology Research (4 papers), Plant nutrient uptake and metabolism (3 papers) and Plant Reproductive Biology (2 papers). Lian-Fen Song collaborates with scholars based in China and United States. Lian-Fen Song's co-authors include Wenzheng Zhang, Weihua Wu, Junjie Zou, Zhen Su, Yi Wang, Wenxin Liu, Xidong Li, Cun Wang, Disna Ratnasekera and Xiangchun Yu and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Molecular Plant.

In The Last Decade

Co-authorship network of co-authors of Lian-Fen Song i

Fields of papers citing papers by Lian-Fen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lian-Fen Song

Since Specialization
Citations

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