Shan Huang

About

Shan Huang is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Shan Huang has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Physiology and 6 papers in Oncology. Recurrent topics in Shan Huang’s work include Adipose Tissue and Metabolism (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Shan Huang is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Shan Huang collaborates with scholars based in United States, China and Taiwan. Shan Huang's co-authors include Miou Zhou, Amy K. LeBlanc, Ling Ren, Alcino J. Silva and Robert J. Brychta and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Fields of papers citing papers by Shan Huang

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

Countries citing papers authored by Shan Huang

Since Specialization

Citations

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

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