Fan Song

106 papers and 2.8k indexed citations i.

About

Fan Song is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Fan Song has authored 106 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 49 papers in Ecology, Evolution, Behavior and Systematics and 34 papers in Plant Science. Recurrent topics in Fan Song’s work include Genomics and Phylogenetic Studies (36 papers), Ecology and Management of Stink Bugs (25 papers) and Phytoplasmas and Hemiptera pathogens (25 papers). Fan Song is often cited by papers focused on Genomics and Phylogenetic Studies (36 papers), Ecology and Management of Stink Bugs (25 papers) and Phytoplasmas and Hemiptera pathogens (25 papers). Fan Song collaborates with scholars based in China, United States and Australia. Fan Song's co-authors include Wanzhi Cai, Hu Li, Pei Jiang, Feng Yue, Xuguo Zhou, Ross C. Hardison, Jinpeng Liu, Renfu Shao, William Stafford Noble and Tao Yang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Fan 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 Fan Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fan Song may publish in the future.

Countries citing papers authored by Fan Song

Since Specialization
Citations

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

Rankless by CCL
2025