Hua Song

About

Hua Song is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Hua Song has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 29 papers in Public Health, Environmental and Occupational Health and 18 papers in Genetics. Recurrent topics in Hua Song’s work include Reproductive Biology and Fertility (28 papers), Pluripotent Stem Cells Research (20 papers) and CRISPR and Genetic Engineering (12 papers). Hua Song is often cited by papers focused on Reproductive Biology and Fertility (28 papers), Pluripotent Stem Cells Research (20 papers) and CRISPR and Genetic Engineering (12 papers). Hua Song collaborates with scholars based in China, United States and Macao. Hua Song's co-authors include Fusheng Quan, Daxiang Cui, Yongsheng Wang and Jianmin Su and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Environmental Pollution.

In The Last Decade

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

Countries citing papers authored by Hua Song

Since Specialization

Citations

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

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