Ge Song

56 papers and 693 indexed citations i.

About

Ge Song is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ge Song has authored 56 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Plant Science and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ge Song’s work include Biochemical Analysis and Sensing Techniques (5 papers), Pregnancy-related medical research (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Ge Song is often cited by papers focused on Biochemical Analysis and Sensing Techniques (5 papers), Pregnancy-related medical research (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Ge Song collaborates with scholars based in China and United States. Ge Song's co-authors include Hong De‐Yuan, Huipeng Liang, Xinping Lin, Chaofan Ji, Zhan‐Yun Guo, Xinyi Wang, Xiao‐Xia Shao, Zhen He, Sufang Zhang and Huiying Chen and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

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

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

Countries citing papers authored by Ge Song

Since Specialization
Citations

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

Rankless by CCL
2025