Lian-Fen Song

6 papers and 908 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 908 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 Photosynthetic Processes and Mechanisms (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 Photosynthetic Processes and Mechanisms (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, Xiangchun Yu and Chengcai An and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Molecular Plant.

In The Last Decade

Fields of papers citing papers by Lian-Fen Song

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Lian-Fen Song. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025