Chengyi Song

About

Chengyi Song is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Chengyi Song has authored 77 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 35 papers in Plant Science and 32 papers in Genetics. Recurrent topics in Chengyi Song’s work include Chromosomal and Genetic Variations (35 papers), Genomics and Phylogenetic Studies (21 papers) and CRISPR and Genetic Engineering (16 papers). Chengyi Song is often cited by papers focused on Chromosomal and Genetic Variations (35 papers), Genomics and Phylogenetic Studies (21 papers) and CRISPR and Genetic Engineering (16 papers). Chengyi Song collaborates with scholars based in China, Germany and Italy. Chengyi Song's co-authors include Bo Gao, Cai Chen, Dan Shen, Xiaoyan Wang and Saisai Wang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Nature Methods.

In The Last Decade

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

Countries citing papers authored by Chengyi Song

Since Specialization

Citations

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

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