Song Leng
About
Song Leng is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism.
According to data from OpenAlex, Song Leng has authored 27 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Song Leng’s work include Folate and B Vitamins Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Song Leng is often cited by papers focused on Folate and B Vitamins Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Song Leng collaborates with scholars based in China, United States and Taiwan. Song Leng's co-authors include Jia Liu, Guang Wang, Yu An, Yanjin Hu and Ai Zhao and has published in prestigious journals such as Nature, Nature Communications and Virology.
In The Last Decade
Fields of papers citing papers by Song Leng
Since SpecializationEngineeringComputer 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 Song Leng. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Leng may publish in the future.
Countries citing papers authored by Song Leng
Since SpecializationCitations
This map shows the geographic impact of Song Leng'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 Song Leng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Leng more than expected).
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