Shang Song

21 papers and 656 indexed citations i.

About

Shang Song is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Surgery. According to data from OpenAlex, Shang Song has authored 21 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 8 papers in Biomedical Engineering and 7 papers in Surgery. Recurrent topics in Shang Song’s work include Neuroscience and Neural Engineering (9 papers), 3D Printing in Biomedical Research (5 papers) and Diabetes Management and Research (4 papers). Shang Song is often cited by papers focused on Neuroscience and Neural Engineering (9 papers), 3D Printing in Biomedical Research (5 papers) and Diabetes Management and Research (4 papers). Shang Song collaborates with scholars based in United States and Canada. Shang Song's co-authors include Paul George, Kelly W. McConnell, Shuvo Roy, Byeongtaek Oh and Andrew M. Posselt and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Biomaterials.

In The Last Decade

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

Countries citing papers authored by Shang Song

Since Specialization
Citations

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

Rankless by CCL
2025