Song-Shan Tang

About

Song-Shan Tang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Song-Shan Tang has authored 15 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Genetics. Recurrent topics in Song-Shan Tang’s work include Growth Hormone and Insulin-like Growth Factors (8 papers), Venomous Animal Envenomation and Studies (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). Song-Shan Tang is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (8 papers), Venomous Animal Envenomation and Studies (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). Song-Shan Tang collaborates with scholars based in China and United States. Song-Shan Tang's co-authors include Jingjing Liu, Hongzhi Li, Xudong Zhang, Xiaowen Zhang and Jie Wu and has published in prestigious journals such as Journal of Biological Chemistry, Molecules and Molecular and Cellular Endocrinology.

In The Last Decade

Fields of papers citing papers by Song-Shan Tang

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 Song-Shan Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song-Shan Tang may publish in the future.

Countries citing papers authored by Song-Shan Tang

Since Specialization

Citations

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

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